Filipe Roberto de Jesus Ramos

@iscte-iul.pt

Invited Assistant Professor, Department of Quantitative Methods for Management and Economics (IBS)
ISCTE-LISBON UNIVERSITY INSTITUTE

Filipe Roberto de Jesus Ramos


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https://researchid.co/framos
Filipe Ramos licenciou-se em Matemática (Ensino) pela FCUL, conclui os mestrados em Matemática Financeira, pelo ISCTE-Business School/FCUL, e em Ensino da Matemática, pela FCT-UNL. Prosseguiu estudos na área da Gestão, com especialização em Métodos Quantitativos, no ISCTE-Business School, tendo já obtido o diploma de estudos avançados nesta área. Além da docência de Matemática nos ensinos Básico e Secundário, de Matemática Aplicada em cursos da Via Profissionalizante e de várias unidades curriculares, da área científica da Matemática, em instituições de Ensino Superior, (como FCUL, ISEG e FCT-UNL), foi ainda colaborador/consultor técnico pedagógico no IAVE (antigo GAVE) e coordenador de cursos profissionais e respetivas equipas pedagógicas. Atualmente, é Professor Auxiliar Convidado no ISCTE-Business School e colaborador na Universidade Europeia, estando a prosseguir a sua investigação na área da Modelação Matemática, nomeadamente “Time Series Analysis and Forecasting”.

EDUCATION

Diploma de Estudos Avançados do Doutoramento em Gestão - Especialização em Métodos Quantitativos
Mestrado em Ensino de Matemática no 3º ciclo do Ensino Básico e no Secundário
Mestrado em Matemática Financeira
Licenciatura (pré-Bolonha) em Matemática (Ensino)

RESEARCH INTERESTS

Matemática
Matemática (Ensino)
Modelos Econométricos
Séries Temporais
Métodos de Previsão
Análise de Dados
Ciência de Dados
349

Scholar Citations

10

Scholar h-index

11

Scholar i10-index

RECENT SCHOLAR PUBLICATIONS

  • Stacked ML-GARCH for Bitcoin Risk Forecasting: A Novel Ensemble Approach for Superior Value-at-Risk Estimation
    L Rubio, KV Alba, CE Velasquez, FR Ramos
    Mathematics 14 (4), 624 , 2026
    2026
    Citations: 1
  • The Color of Things: A Multi‐Method Approach for New Marketing and Business Strategies
    LM Martinez, FR Ramos, AC Amaro, W Cantú, S Kumar, LF Martinez
    Color Research & Application 51 (1), e70016 , 2026
    2026
  • Enhancing last-mile delivery: a hybrid approach with machine learning techniques that captures drivers' knowledge
    MA Carvalhosa, MT Pereira, MG Pereira, E e Oliveira, FR Ramos
    International Journal of Logistics Research and Applications 28 (12), 1979-2005 , 2025
    2025
    Citations: 2
  • Exploring research trends and patterns in leadership research: a machine learning, co-word, and network analysis
    MF Ribeiro, CG da Costa, FR Ramos, JMTS Cruz
    Management Review Quarterly 75 (4), 3773-3811 , 2025
    2025
    Citations: 9
  • Mapping e-commerce trends in the USA: a time series and deep learning approach: FR Ramos et al.
    FR Ramos, LM Martinez, LF Martinez, R Abreu, L Rubio
    Journal of Marketing Analytics 13 (3), 606-634 , 2025
    2025
    Citations: 8
  • Enhancing Third-Party Logistics Efficiency: A Digital Approach to Transport Costing
    MT Pereira, NM Gabriel, MG Pereira, FR Ramos, A Guimarães
    Design, Simulation, Manufacturing: The Innovation Exchange, 159-170 , 2025
    2025
  • Development of a Decision Support System for Freight Forecasting
    JP Martins, FR Ramos, MT Pereira, M Oliveira, FA Ferreira
    International Conference Innovation in Engineering, 152-164 , 2025
    2025
  • Development of a Decision Support System
    JP Martins¹, FR Ramos, MT Pereira
    Innovations in Industrial Engineering IV, 152 , 2025
    2025
  • Learning Approach
    MP Dias, FR Ramos, JJF Gomes, SC Almeida
    Human-Centred Technology Management for a Sustainable Future: Volume 2 … , 2025
    2025
  • From Reality to Virtuality: Digital Transformation on Luxury Brand Engagement and Purchase Intention in the Metaverse.
    I Mudava, LM Martinez, FR Ramos, R Abreu
    International Journal of Marketing, Communication and New Media , 2025
    2025
    Citations: 4
  • Unravelling the impact of the covid-19 pandemic on judo: a comparative analysis of the 2018-ec and 2020-ec championships
    JM Gonçalves, JJF Gomes, B Miarka, FR Ramos
    Retos 61, 891-900 , 2024
    2024
  • Brzozowski’s Algorithm for Automata Minimization Verified in Coq
    F Ramos, KG Roggia, RCG Silva
    Brazilian Symposium on Formal Methods, 107-119 , 2024
    2024
  • The Current State of Leadership Research: Identifying Key Trends through Natural Language Processing and Machine Learning Analysis
    MF Ribeiro, CG da Costa, FR Ramos
    European Conference on Management, Leadership & Governance, 734-737 , 2024
    2024
  • 26 Assessing the Effectiveness of Purpose-Driven Leadership: A Systematic Review of its Mechanisms and Impacts in the Organizational Context
    M Ribeiro, C Costa, F Ramos
    Navigating the future of management, 73 , 2024
    2024
  • Exploring purpose-driven leadership: Theoretical foundations, mechanisms, and impacts in organizational context
    MF Ribeiro, CG Costa, FR Ramos
    Administrative Sciences 14 (7), 148 , 2024
    2024
    Citations: 42
  • Decision Maker Contact Prediction Model in a Business Context: A Machine Learning Approach
    MP Dias, FR Ramos, JJF Gomes, SC Almeida, RN Dias
    International Association for the Management of Technology Conference, 185-194 , 2024
    2024
  • Mobile Switching Propensity Model: A Machine Learning Approach
    RN Dias, JJF Gomes, FR Ramos, SC Almeida, MP Dias
    International Conference Innovation in Engineering, 313-324 , 2024
    2024
  • Trends and forecasts for sales and employment: An overview of the e-commerce sector
    FR Ramos, LM Martinez, LF Martinez
    Digital Marketing & eCommerce Conference, 31-40 , 2024
    2024
    Citations: 3
  • Applying Deep Learning Techniques to Forecast Purchases in the Portuguese
    J Sequeiros, FR Ramos, MT Pereira, M Oliveira
    Operational Research: IO 2022—OR in Turbulent Times: Adaptation and … , 2024
    2024
  • Visual elements in organic products communication: The impact of yoghurt packaging material and color on consumer perception.
    L Martinez, A Bento, LF Martinez, FR Ramos
    Proceedings of the Midterm Meeting of the International Colour Association 2024 , 2024
    2024

MOST CITED SCHOLAR PUBLICATIONS

  • Forecasting volatility by using wavelet transform, ARIMA and GARCH models
    L Rubio, A Palacio Pinedo, A Mejía Castaño, F Ramos
    Eurasian Economic Review 13 (3), 803-830 , 2023
    2023
    Citations: 58
  • Exploring purpose-driven leadership: Theoretical foundations, mechanisms, and impacts in organizational context
    MF Ribeiro, CG Costa, FR Ramos
    Administrative Sciences 14 (7), 148 , 2024
    2024
    Citations: 42
  • Accessing the determinants of behavioral intention to adopt fintech services among the millennial generation
    FAB Ramos
    PQDT-Global , 2016
    2016
    Citations: 29
  • Forecasting bitcoin volatility: exploring the potential of deep learning
    TE Pratas, FR Ramos, L Rubio
    Eurasian Economic Review 13 (2), 285-305 , 2023
    2023
    Citations: 22
  • The influence of TikTok videos on German gen Z consumers’ attitude and purchase intention towards sustainable brands
    S Plötz, LM Martinez, LF Martinez, FR Ramos
    Digital Marketing & eCommerce Conference, 270-289 , 2023
    2023
    Citations: 21
  • Um complexo de vegetacao entre dunas e pantanos proximo a Tramandai-Rio Grande do Sul, Brasil.
    J Pfadenhauer, RF Ramos
    Iheringia. Série Botânica , 1979
    1979
    Citations: 20
  • The memory concept behind deep neural network models: An application in time series forecasting in the e-Commerce sector
    FR Ramos, MT Pereira, M Oliveira, L Rubio
    Decision Making: Applications in Management and Engineering 6 (2), 668-690 , 2023
    2023
    Citations: 14
  • Would you try it again? Dual effects of customer mindfulness on service recovery
    LM Martinez, N Pacheco, FR Ramos, M Bicho
    Journal of Retailing and Consumer Services 74, 103438 , 2023
    2023
    Citations: 13
  • Data Science na modelação e previsão de séries económico-financeiras: das metodologias clássicas ao Deep Learning
    FR Ramos
    ISCTE-Business School , 2021
    2021
    Citations: 12
  • An overstimulated consumer in a highly visual world: the moderating effect of the highly sensitive person trait on the attitude towards the ad
    AC Amaro, LM Martinez, FR Ramos, K Menezes, S Menezes
    Electronic Commerce Research 23 (3), 1429-1458 , 2023
    2023
    Citations: 11
  • Deep neural networks: A hybrid approach using box&jenkins methodology
    FR Ramos, DR Lopes, TE Pratas
    International Conference Innovation in Engineering, 51-62 , 2022
    2022
    Citations: 10
  • Exploring research trends and patterns in leadership research: a machine learning, co-word, and network analysis
    MF Ribeiro, CG da Costa, FR Ramos, JMTS Cruz
    Management Review Quarterly 75 (4), 3773-3811 , 2025
    2025
    Citations: 9
  • Mapping e-commerce trends in the USA: a time series and deep learning approach: FR Ramos et al.
    FR Ramos, LM Martinez, LF Martinez, R Abreu, L Rubio
    Journal of Marketing Analytics 13 (3), 606-634 , 2025
    2025
    Citations: 8
  • Forecasting models for time-series: a comparative study between classical methodologies and Deep Learning
    DR Lopes, FR Ramos, A Costa, D Mendes
    SPE 2021–XXV Congresso da Sociedade Portuguesa de Estatística. Évora-Portugal , 2021
    2021
    Citations: 8
  • Univariate time series forecast
    DR Lopes, FR Ramos
    2020
    Citations: 7
  • Forecasting financial time series using deep learning techniques
    A Costa, FR Ramos, V Mendes
    2019
    Citations: 7
  • Cointegração, Modelos VAR e BVAR: Estudo comparativo entre a abordagem Clássica e Bayesiana no contexto dos Mercados Financeiros Europeus
    FRJ Ramos
    2012
    Citations: 7
  • Explorando o poder da memória das redes neuronais LSTM na modelaçao e previsao do PSI 20
    FR Ramos, AR Costa, DA Mendes, DR Lopes
    2021
    Citations: 6
  • Forecasting financial time series: a comparative study
    FR Ramos, A Costa, D Mendes, V Mendes
    JOCLAD 2018, XXIV Jornadas de Classificação e Análise de Dados , 2018
    2018
    Citations: 6
  • From Reality to Virtuality: Digital Transformation on Luxury Brand Engagement and Purchase Intention in the Metaverse.
    I Mudava, LM Martinez, FR Ramos, R Abreu
    International Journal of Marketing, Communication and New Media , 2025
    2025
    Citations: 4

RESEARCH OUTPUTS (PATENTS, SOFTWARE, PUBLICATIONS, PRODUCTS)

• Lopes, D., & Ramos, F. (2020). Univariate Time Series Forecast. Retrieved from

• Lopes, D., & Ramos, F. (2019). Time Series Cross-Validation. Retrieved from