NEERENDRA KUMAR

Scopus Publications

A real-time intelligent intrusion detection framework for robotic system cybersecurity
Narinder Verma, Neerendra Kumar, Khalid K. Almuzaini, Anurag Sinha, Syed Abid Hussain
Peer to Peer Networking and Applications, 2026
A Real-Time Intrusion Detection System for Enhancing Cybersecurity in Robotic Systems
Narinder Verma, Neerendra Kumar
Recent Advances in Computer Science and Communications, 2026
Background: The increasing integration of robotic systems across various sectors has highlighted the critical need for robust cybersecurity measures to safeguard these systems against cyber threats. Objective: This research presents a novel Real-Time Intrusion Detection System (IDS) framework specifically designed to enhance the cybersecurity of robotic systems. Methods: The proposed IDS framework monitors network traffic and continuously identifies potential threats in real time. A testbed is set up using an AlphaBot robotic device and a server machine to perform experiments under both normal and attack conditions. Network traffic data is captured in real-time using tools like Wireshark, generating raw datasets from actual data exchanges between the robotic device and the server. The dataset undergoes preprocessing, including feature extraction, data cleaning, and normalization. This processed dataset is then used to train machine learning algorithms, such as Decision Trees, K-Nearest Neighbors, and Random Forest, designed to identify patterns distinguishing between normal and malicious activities. Results: The IDS framework is tested on the AlphaBot robotic device and server machine, demonstrating effective results in real-world conditions. The system achieved an accuracy rate of 96.61% in distinguishing between normal and attack traffic, highlighting its robustness and practicality. Conclusion: The proposed real-time IDS framework shows promise in enhancing the cybersecurity of robotic systems by effectively identifying potential threats in real time.
Cybersecurity in Robotics: Understanding Vulnerabilities and Countermeasures
Neha Koul, Arvind Selwal, Neerendra Kumar, Narinder Verma
Lecture Notes in Electrical Engineering, 2026
LSFRS: a lightweight framework for efficient and secure communication in IoT-based robotic surveillance
Narinder Verma, Neerendra Kumar, Chaman Verma, Zoltán Illés, Zakir Ahmad Sheikh
Cluster Computing, 2025
CNN-GWO-voting & hybrid: ensemble learning inspired intrusion detection approaches for cyber-physical systems
Ram Ji, Neerendra Kumar, Devanand Padha
Proceedings of the Indian National Science Academy, 2025
A hybrid ensemble framework with particle swarm optimization for network anomaly detection
Narinder Verma, Neerendra Kumar, Gourav Kumar, Kuljeet Singh
Discover Applied Sciences, 2025
The increasing complexity of cyber threats necessitates the development of a robust and adaptive Intrusion Detection System (IDS) capable of safeguarding network infrastructures. Traditional IDS approaches often struggle to detect sophisticated attacks due to their reliance on predefined patterns. We propose an adaptive particle swarm optimization (PSO)-optimized ensemble learning framework tailored to address these challenges in modern IDS applications. Our approach leverages the NSL-KDD and CICIDS datasets to ensure the IDS is trained and evaluated on data reflecting current network behaviours and threat landscapes. We evaluate multiple machine learning models, including Decision Trees (DT), Artificial Neural Networks (ANN), K-Nearest Neighbors (KNN), Random Forests (RF), and an ensemble of these models for both binary and multi-class classification tasks. By incorporating adaptive mechanisms within the PSO algorithm, our framework dynamically adjusts hyperparameters during optimization, enhancing model robustness and convergence speed. The proposed framework is also benchmarked against state-of-the-art IDS approaches, including ASRL and PSOGSA. Empirical evaluations demonstrate that the ensemble model achieves superior detection accuracy and reduced false positive rates, thereby advancing the efficacy of intrusion detection methodologies.
A systematic review on cybersecurity of robotic systems: vulnerabilities trends, threats, attacks, challenges, and proposed framework
Narinder Verma, Neerendra Kumar, Chaman Verma, Zoltán Illés, Deep Singh
International Journal of Information Security, 2025
A novel 3-D image encryption algorithm based on SHA-256 and chaos theory
Deep Singh, Harpreet Kaur, Chaman Verma, Neerendra Kumar, Zoltán Illés
Alexandria Engineering Journal, 2025
The security of 3-D images is an important research problem that has to be resolved. Due to the more complex structure of 3-D images, the encryption of these images is quite different from 1-D and 2-D images. A three-stage novel image encryption technique based on chaotic maps is presented in this paper in which a 3-D image is firstly converted to a similar image format as that of 2-D images before encryption. The initial conditions of the chaotic system are generated by using the SHA-256 function on the coordinate matrix of the plaintext. Initially, a logistic map is utilized to scramble and add random points to the coordinate values of vertices of a 3-D image. The coordinate values are then confused and diffused in the second stage by using three sequences generated through the logistic-dynamic coupled logistic map lattice (LDCML) model. This stage also involves splitting of floating point data into integer and fractional parts. The integer part is diffused whereas the fractional part is scrambled during this process. In the third stage, the confusion is performed by using a tent map among the coordinate points. This process enhances the robustness, integrity, and confidentiality of 3-D images and ensures protection against unauthorized access. The proposed encryption procedure achieves values of correlation close to zero along x,y,z- directions, NPCR of 100%, UACI of 33.37%, and entropy value of 7.9993 which demonstrates its robust security. The time analysis shows that our technique improves efficiency and lowers computational costs by processing data in a lesser time. The security and statistical analysis concludes that the proposed encryption algorithm can withstand various conventional attacks.
Secure Data Sharing for Unmanned Aerial Vehicles: A Blockchain Perspective
Ajay Kumar, Yashwant Singh, Neerendra Kumar
2025 International Conference on Networks and Cryptology Netcrypt 2025, 2025
Unmanned Aerial Vehicles (UAVs) are flying robots controlled remotely and autonomously. UAVs are becoming increasingly popular among industries and governments despite their origins in military purposes. The accelerated development of drone usage has revealed serious security issues with communication, making it vital to guarantee the safety of data exchange among drones. Traditional UAVs are vulnerable because they depend on widely recognized communication methods. Furthermore, UAVs do not offer complete data protection for a number of security-critical jobs, which could lead to serious loss and potentially fatal outcomes. The suggested blockchain-based scheme's primary goal is to assure the system's security in terms of confidentiality, Integrity, and availability so that UAVs can efficiently communicate data with other UAVs. The proposed framework demonstrates that the method mentioned is more effective for safe data sharing in current UAV networks based on blockchain technology. Finally, the shortcomings of blockchain technology for UAVs and future directions are discussed.
Machine Learning for the Cybersecurity of Robotic Cyber-Physical Systems: A Review
Narinder Verma, Neerendra Kumar, Zakir Ahmad Sheikh, Neha Koul, Ankit Ashish
Procedia Computer Science, 2025
The integration of cyber-physical systems (CPS) in various domains, such as transportation, healthcare, and manufacturing, has enabled efficient and reliable automation of processes. However, the increased connectivity and complexity of robotic cyber-physical systems have also made them vulnerable to various security threats. This paper explores the role of machine learning in enhancing the security of CPS with an emphasis on robotic systems. In this study, the analysis of the CPS architecture, protocols, and vulnerability trends is carried out. The past attacks on CPS devices, vulnerabilities, and threats associated with different components in CPS are also examined. Further, the use of machine learning techniques for intrusion detection, anomaly detection, and vulnerability assessment in robotic and general CPS is discussed. The challenges and limitations of applying machine learning to CPS security and identifying areas for future research are also investigated. The study highlights the potential application of machine learning in addressing security vulnerabilities in Cyber-Physical Systems (CPS) and points out the necessity for additional investigation to establish reliable and efficient machine learning-driven security solutions for CPS.
A novel univariate feature selection with ANOVA F-test-based machine learning model for Intrusion Detection Framework of Robotics system
Narinder Verma, Neerendra Kumar, Kuljeet Singh, Abeer Aljohani, Anurag Sinha, Syed Abid Hussain
Applied Artificial Intelligence, 2025
Blockchain-Empowered Secure Data Communication for UAV
Ajay Kumar, Dheeraj Bhatt, Yashwant Singh, Neerendra Kumar
SN Computer Science, 2024
Visually meaningful image encryption for secure and authenticated data transmission using chaotic maps
Deep Singh, Sandeep Kumar, Chaman Verma, Zoltán Illés, Neerendra Kumar
Journal of King Saud University Computer and Information Sciences, 2024
Machine Learning-Based Framework for Cybersecurity of Robotic System
Narinder Verma, Neerendra Kumar, Harish Salotra
Lecture Notes in Electrical Engineering, 2024
Analysis of Advanced Persistent Threat Attacks, Lifecycle, and Counter Measures: A Comprehensive Review
Rohit Bhardwaj, Neerendra Kumar, Harnain Kour, Narinder Verma, Ankit Ashish
Lecture Notes in Electrical Engineering, 2024
Cybersecurity Issues and Artificial Intelligence-Based Solutions in Cyber-Physical Systems
Narinder Verma, Neerendra Kumar, Zakir Ahmad Sheikh, Neha Koul, Ankit Ashish
Intelligent Security Solutions for Cyber Physical Systems, 2024
Correction to: Super Resolution for Noisy Images Using Convolutional Neural Networks (Mathematics, (2022), 10, 5, (777), 10.3390/math10050777)
Zaid Bin Mushtaq, Shoaib Mohd Nasti, Chaman Verma, Maria Simona Raboaca, Neerendra Kumar, Samiah Jan Nasti
Mathematics, 2023
Vision and Audio-based Methods for First Impression Recognition Using Machine Learning Algorithms: A Review
Sumiya Mushtaq, Neerendra Kumar, Yashwant Singh, Pradeep Kumar Singh
International Journal on Artificial Intelligence Tools, 2023
An Approach for Integrating a Prominent Conversational Chatbot with a Contact Center
Yatish Bathla, Neerendra Kumar
Lecture Notes in Electrical Engineering, 2023
Text-Based Automatic Personality Recognition: Recent Developments
Sumiya Mushtaq, Neerendra Kumar
Lecture Notes in Networks and Systems, 2023
Neoteric Trends of Unmanned Aerial Vehicle (UAV) Research: A Scientometric Analysis
Ajay Kumar, Mayank Chopra, Yashwant Singh, Neerendra Kumar
Journal of Scientometric Research, 2023
Navigation and Cognitive Techniques for Humanoid Robots
Aqsa Sayeed, Zoltán Vámossy, Neerendra Kumar, Yash Paul, Yatish Bathla, Neha Koul
Lecture Notes in Electrical Engineering, 2023
Machine Learning Techniques for Result Prediction of One Day International (ODI) Cricket Match
Inam ul Haq, Neerendra Kumar, Neha Koul, Chaman Verma, Florentina Magda Eneacu, Maria Simona Raboaca
Lecture Notes in Electrical Engineering, 2023
Intelligent Communication for Internet of Things (IoRT)
Kaleem Ullah Bhat, Neerendra Kumar, Neha Koul, Chaman Verma, Florentina Magda Enescu, Maria Simona Raboaca
Lecture Notes in Electrical Engineering, 2023
Image Geo-Site Estimation Using Convolutional Auto-Encoder and Multi-Label Support Vector Machine
Arpit Jain, Chaman Verma, Neerendra Kumar, Maria Simona Raboaca, Jyoti Narayan Baliya, George Suciu
Information Switzerland, 2023
Resiliency and Nonlinearity Profiles of Some Cryptographic Functions
Deep Singh, Amit Paul, Neerendra Kumar, Veronika Stoffová, Chaman Verma
Mathematics, 2022
Cryptanalysis and Improved Image Encryption Scheme Using Elliptic Curve and Affine Hill Cipher
Parveiz Nazir Lone, Deep Singh, Veronika Stoffová, Deep Chandra Mishra, Umar Hussain Mir, Neerendra Kumar
Mathematics, 2022
Approaches and Challenges in Internet of Robotic Things
Aqsa Sayeed, Chaman Verma, Neerendra Kumar, Neha Koul, Zoltán Illés
Future Internet, 2022
Super Resolution for Noisy Images Using Convolutional Neural Networks
Zaid Mushtaq, Shoaib Nasti, Chaman Verma, Maria Raboaca, Neerendra Kumar, Samiah Nasti
Mathematics, 2022
Secure Unmanned Aerial Vehicle (UAV) Communication using Blockchain Technology
Ajay Kumar, Yashwant Singh, Neerendra Kumar
Lecture Notes in Electrical Engineering, 2022
Data Exchange Techniques for Internet of Robotic Things: Recent Developments
Neha Koul, Neerendra Kumar, Aqsa Sayeed, Chaman Verma, Maria Simona Raboaca
IEEE Access, 2022
Obstacle Avoidance in Robot Navigation Using Two-Sample T-Test-Based Obstacle Recognition
Neerendra Kumar, Zoltán Vámossy
Lecture Notes in Electrical Engineering, 2021
Analysis of Modern Communication Protocols for IoT applications
Neerendra Kumar, Pragti Jamwal
Karbala International Journal of Modern Science, 2021
Autonomous Navigation of Mobile Robot with Obstacle Avoidance: A Review
Mahvish Bijli, Neerendra Kumar
Communications in Computer and Information Science, 2021
Path Planning for Autonomous Robot Navigation: Present Approaches
Shagun Verma, Neerendra Kumar
Communications in Computer and Information Science, 2021
Mobile Robot Path Planning Approaches: Recent Developments
Raashid Manzoor, Neerendra Kumar
Advances in Science Technology and Innovation, 2021
Fake Profile Detection from the Social Dataset for Movie Promotion
Parul Parihar, Devanand, Neerendra Kumar
Proceedings of the IEEE International Conference Image Information Processing, 2021
A comparative study of famous classification techniques and data mining tools
Yash Paul, Neerendra Kumar
Lecture Notes in Electrical Engineering, 2020
Smart approach for real-time gender prediction of European school’s principal using machine learning
Yatish Bathla, Chaman Verma, Neerendra Kumar
Lecture Notes in Electrical Engineering, 2020
Obstacle avoidance during robot navigation in dynamic environment using fuzzy controller
Shoaib Mohd Nasti, , Zoltán Vámossy, Neerendra Kumar, , and
International Journal of Recent Technology and Engineering, 2019
Robot navigation in unknown environment with obstacle recognition using laser sensor
Neerendra Kumar, Zoltán Vámossy
International Journal of Electrical and Computer Engineering, 2019
Laser scan matching in robot navigation
Neerendra Kumar, Zoltan Vamossy
Saci 2018 IEEE 12th International Symposium on Applied Computational Intelligence and Informatics Proceedings, 2018
Robot navigation with obstacle avoidance in unknown environment
Neerendra Kumar, Zoltán Vámossy
International Journal of Engineering and Technology Uae, 2018
Obstacle recognition and avoidance during robot navigation in unknown environment
Neerendra Kumar, ZoltÃ¡n VÃ¡mossy
International Journal of Engineering and Technology Uae, 2018
Robot navigation in unknown environment using fuzzy logic
Neerendra Kumar, Marta Takacs, Zoltan Vamossy
Sami 2017 IEEE 15th International Symposium on Applied Machine Intelligence and Informatics Proceedings, 2017
Robot path pursuit using probabilistic roadmap
Neerendra Kumar, Zoltan Vamossy, Zsolt Miklos Szabo-Resch
Cinti 2016 17th IEEE International Symposium on Computational Intelligence and Informatics Proceedings, 2017
Heuristic approaches in robot navigation
Neerendra Kumar, Zoltan Vamossy, Zsolt Miklos Szabo-Resch
Ines 2016 20th Jubilee IEEE International Conference on Intelligent Engineering Systems Proceedings, 2016
Robot obstacle avoidance using bumper event
Neerendra Kumar, Zoltan Vamossy, Zsolt Miklos Szabo-Resch
Saci 2016 11th IEEE International Symposium on Applied Computational Intelligence and Informatics Proceedings, 2016

RECENT SCHOLAR PUBLICATIONS

A real-time intrusion detection system for enhancing cybersecurity in robotic systems
N Verma, N Kumar
Recent Advances in Computer Science and Communications 19 (3), E26662558354644 , 2026
2026
Citations: 1
Relación entre excursión sistólica del plano anular mitral y fracción de eyección del ventrículo izquierdo utilizando el método de Simpson modificado con ecografía cardiaca en …
N Kumar, K Arya, M Pandey
Revista Española de Anestesiología y Reanimación, 502088 , 2026
2026
QFTN: A Quantum‐Inspired Federated Trust Negotiation Framework for Secure Data Exchange in IoRT
N Koul, N Kumar, R Ji, D Padha
Security and Privacy 9 (2), e70190 , 2026
2026
A real-time intelligent intrusion detection framework for robotic system cybersecurity
N Verma, N Kumar, KK Almuzaini, A Sinha, S Abid Hussain
Peer-to-Peer Networking and Applications 19 (1), 30 , 2026
2026
Citations: 1
Heterocyclic Scaffolds: A Powerful Arsenal against Cancer Cell Proliferation.
C Kaur, N Kumar, R Kumar, G Singh
Current Topics in Medicinal Chemistry , 2026
2026
A novel univariate feature selection with ANOVA F-test-based machine learning model for Intrusion Detection Framework of Robotics system
N Verma, N Kumar, K Singh, A Aljohani, A Sinha, SA Hussain
Applied Artificial Intelligence 39 (1), 2539395 , 2025
2025
Citations: 2
Global research trends on surgical stress and tumor microenvironment dynamics in breast cancer: A bibliometric analysis
HS Kottu, J Saikia, N Kumar, S Khurana, S Kumar
European Journal of Surgical Oncology 51 , 2025
2025
Intensification of Cereal-Cereal System with Summer Mungbean Changes Carbon Pool with Net Increase in Soil Carbon
CP Nath, KK Hazra, N Kumar, U Singh, SS Singh, CS Praharaj, ...
National Academy Science Letters 48 (6), 705-710 , 2025
2025
LSFRS: a lightweight framework for efficient and secure communication in IoT-based robotic surveillance
N Verma, N Kumar, C Verma, Z Illés, ZA Sheikh
Cluster Computing 28 (11), 732 , 2025
2025
CNN-GWO-voting & hybrid: ensemble learning inspired intrusion detection approaches for cyber-physical systems
R Ji, N Kumar, D Padha
Proceedings of the Indian national science academy 91 (3), 848-862 , 2025
2025
Citations: 28
A hybrid ensemble framework with particle swarm optimization for network anomaly detection
N Verma, N Kumar, G Kumar, K Singh
Discover Applied Sciences 7 (8), 921 , 2025
2025
Citations: 4
Enhancing Hospital Wastewater Treatment and Environmental Safety with Kernel Neural Network Models
A Sharmila, M Amutha, V Sidharthan, MV Ghamande, N Kumar, R Ambiha
2025 3rd World Conference on Communication & Computing (WCONF), 1-6 , 2025
2025
LoRA-fine-tuned Large Vision Models for Automated Assessment of Post-SBRT Lung Injury
M Bolhassani, B Veasey, E Daugherty, S Keltner, N Kumar, N Dunlap, ...
2025 47th Annual International Conference of the IEEE Engineering in … , 2025
2025
Citations: 2
Evidence for magnetoelastic coupling and chiral magnetic ground state in quasi-van der Waals trigonal
SM Hossain, B Rai, PR Baral, O Zaharko, N Kumar, AK Bera, M Majumder
Physical Review B 112 (2), 024439 , 2025
2025
Citations: 2
Asynchronous Federated Learning Technique for Latency Reduction in STAR-RIS enabled VRCS
S Chaudhary, I Budhiraja, R Chaudhary, N Kumar, S Biswas
ICC 2025-IEEE International Conference on Communications, 361-366 , 2025
2025
Citations: 5
OP0190 NEUROIMMUNE MODULATION FOR TREATMENT OF RHEUMATOID ARTHRITIS IN ADULTS WITH INADEQUATE RESPONSE OR INTOLERANCE TO BIOLOGICAL OR TARGETED SYNTHETIC DMARDs: RESULTS AT 12 …
J Tesser, A Crowley, P Wickersham, J June, J Box, G Valenzuela, ...
Annals of the Rheumatic Diseases 84, 157-158 , 2025
2025
Effect of Herbicidal Weed Management Practices on Weed Dynamics and Productivity of Chickpea (Cicer arietinum L.)
N Kumar, S Kumar, S Sharma
Legume Research-An International Journal 1, 5 , 2025
2025
B. 3 Early motor cortex dysconnectivity and compensatory neuronal reactivity in acute stroke is dependent on the side of stroke
M Kate, N Khan, G Duba, N Kumar, C Kashinkunti, B Buck, A Shuaib
Canadian Journal of Neurological Sciences 52 (s1), S5-S5 , 2025
2025
A systematic review on cybersecurity of robotic systems: vulnerabilities trends, threats, attacks, challenges, and proposed framework: N. Verma et al.
N Verma, N Kumar, C Verma, Z Illés, D Singh
International Journal of Information Security 24 (3), 127 , 2025
2025
Citations: 18
A comprehensive review of sentiment analysis methods for social
A Ashish, H Kour, N Kumar, N Verma
Smart Computing and Communication for Sustainable Convergence: Proceedings … , 2025
2025

MOST CITED SCHOLAR PUBLICATIONS

Atmospheric formic and acetic acids: An overview
P Khare, N Kumar, KM Kumari, SS Srivastava
Reviews of Geophysics 37 (2), 227-248 , 1999
1999
Citations: 362
Light responsive polymer field-effect transistor
KS Narayan, N Kumar
Applied Physics Letters 79 (12), 1891-1893 , 2001
2001
Citations: 291
System and methods for in-meeting group assistance using a virtual assistant
N KUMAR
US Patent 10,540,971 , 2020
2020
Citations: 168
Resistance fluctuation in a one-dimensional conductor with static disorder
N Kumar
Physical Review B 31 (8), 5513 , 1985
1985
Citations: 155
Heterosis, combining ability and genetics for vitamin C, total soluble solids and yield in tomato (Lycopersicon esculentum) at 1700 m altitude
RP Bhatt, VR Biswas, N Kumar
The Journal of Agricultural Science 137 (1), 71-75 , 2001
2001
Citations: 147
Chemical composition and association of size-differentiated aerosols at a suburban site in a semi-arid tract of India
UC Kulshrestha, A Saxena, N Kumar, KM Kumari, SS Srivastava
Journal of Atmospheric Chemistry 29 (2), 109-118 , 1998
1998
Citations: 125
HCHO, HCOOH and CH3COOH in air and rain water at a rural tropical site in north central India
P Khare, GS Satsangi, N Kumar, KM Kumari, SS Srivastava
Atmospheric Environment 31 (23), 3867-3875 , 1997
1997
Citations: 100
Pharmacology and anti‐addiction effects of the novel κ opioid receptor agonist M esyl S al B, a potent and long‐acting analogue of salvinorin A
B Simonson, AS Morani, AWM Ewald, L Walker, N Kumar, D Simpson, ...
British journal of pharmacology 172 (2), 515-531 , 2015
2015
Citations: 80
Effects of stubble length of rice in mitigating soil moisture stress and on yield of lentil (Lens culinaris Medik) in rice-lentil relay crop
PK Bandyopadhyay, KC Singh, K Mondal, R Nath, PK Ghosh, N Kumar, ...
Agricultural Water Management 173, 91-102 , 2016
2016
Citations: 69
The analgesic and anti‐inflammatory effects of Salvinorin A analogue β‐tetrahydropyran Salvinorin B in mice
KF Paton, N Kumar, RS Crowley, JL Harper, TE Prisinzano, BM Kivell
European Journal of Pain 21 (6), 1039-1050 , 2017
2017
Citations: 62
GEOLOGIC HISTORY AND ORIGIN OF SAO PAULO PLATEAU (SOUTHEASTERN BRAZILIAN MARGIN), COMPARISON WITH THE ANGOLAN MARGIN, AND THE EARLY EVOLUTION OF THE NORTHERN SOUTH ATLANTIC.
N Kumar, G LAP, S BC, J Mascle
1977
Citations: 61
Systems and methods for decomposing a video stream into face streams
N KUMAR, A Nagpal, SM Ramakrishna
US Patent App. 15/902,854 , 2019
2019
Citations: 50
Deep learning image classification for fashion design
A Vijayaraj, PT Vasanth Raj, R Jebakumar, P Gururama Senthilvel, ...
Wireless Communications and Mobile Computing 2022 (1), 7549397 , 2022
2022
Citations: 48
Perioperative effect of epidural dexmedetomidine with intrathecal bupivacaine on haemodynamic parameters and quality of analgesia
D Jain, N Kumar, RM Khan, D Kumar
Southern African Journal of Anaesthesia and Analgesia 18 (2), 105-109 , 2012
2012
Citations: 48
Cryptanalysis and improved image encryption scheme using elliptic curve and affine hill cipher
PN Lone, D Singh, V Stoffová, DC Mishra, UH Mir, N Kumar
Mathematics 10 (20), 3878 , 2022
2022
Citations: 46
Approaches and challenges in internet of robotic things
A Sayeed, C Verma, N Kumar, N Koul, Z Illés
Future internet 14 (9), 265 , 2022
2022
Citations: 46
Dry deposition of sulphate and nitrate to polypropylene surfaces in a semi-arid area of India
A Saxena, UC Kulshrestha, N Kumar, KM Kumari, S Prakash, ...
Atmospheric Environment 31 (15), 2361-2366 , 1997
1997
Citations: 46
Identification of the nature and source of atmospheric aerosols near the Taj Mahal (India)
UC Kulshrestha, N Kumar, A Saxena, KM Kumari, SS Srivastava
Environmental monitoring and assessment 34 (1), 1-11 , 1995
1995
Citations: 41
Power Electronics Devices
MH Rashid, N Kumar, A Kulkarni
Circuits and Applications (4th Edition), England , 2014
2014
Citations: 40
Possibility of photoinduced superconductivity
N Kumar, KP Sinha
Physical Review 174 (2), 482 , 1968
1968
Citations: 40

NEERENDRA KUMAR

RESEARCH, TEACHING, or OTHER INTERESTS

Scopus Publications

RECENT SCHOLAR PUBLICATIONS

MOST CITED SCHOLAR PUBLICATIONS