World's Best Scientists 2026 revealed!
Mehrbakhsh Nilashi

Mehrbakhsh Nilashi

Award Badge
Computer Science
Malaysia
2026

D-Index & Metrics

Computer Science

D-Index
62
Citations
11093
World Ranking
2966
National Ranking
4

Research.com Recognitions

  • 2026 - Research.com Computer Science in Malaysia Leader Award

Best Publications

  • A systematic review and meta-Analysis of SWARA and WASPAS methods: Theory and applications with recent fuzzy developments

    Abbas Mardani;Mehrbakhsh Nilashi;Mehrbakhsh Nilashi;Norhayati Zakuan;Nanthakumar Loganathan

  • A recommender system based on collaborative filtering using ontology and dimensionality reduction techniques

    Mehrbakhsh Nilashi;Othman Ibrahim;Karamollah Bagherifard

  • The application of internet of things in healthcare: a systematic literature review and classification

    Hossein Ahmadi;Hossein Ahmadi;Goli Arji;Leila Shahmoradi;Reza Safdari

  • Market segmentation and travel choice prediction in Spa hotels through TripAdvisor’s online reviews

    Ali Ahani;Ali Ahani;Mehrbakhsh Nilashi;Othman Ibrahim;Louis Sanzogni

  • The impact of enterprise risk management on competitive advantage by moderating role of information technology

    Parvaneh Saeidi;Sayyedeh Parisa Saeidi;Saudah Sofian;Sayedeh Parastoo Saeidi

  • A knowledge-based system for breast cancer classification using fuzzy logic method

    Mehrbakhsh Nilashi;Othman Ibrahim;Hossein Ahmadi;Leila Shahmoradi

  • A multi-criteria collaborative filtering recommender system for the tourism domain using Expectation Maximization (EM) and PCA-ANFIS

    Mehrbakhsh Nilashi;Othman bin Ibrahim;Norafida Ithnin;Nor Haniza Sarmin

  • Recommendation quality, transparency, and website quality for trust-building in recommendation agents

    Mehrbakhsh Nilashi;Dietmar Jannach;Othman bin Ibrahim;Mohammad Dalvi Esfahani

  • Organizational decision to adopt hospital information system: An empirical investigation in the case of Malaysian public hospitals

    Hossein Ahmadi;Mehrbakhsh Nilashi;Othman Ibrahim

  • An analytical method for diseases prediction using machine learning techniques

    Mehrbakhsh Nilashi;Mehrbakhsh Nilashi;Othman bin Ibrahim;Hossein Ahmadi;Leila Shahmoradi

  • Application of decision making and fuzzy sets theory to evaluate the healthcare and medical problems: A review of three decades of research with recent developments

    Abbas Mardani;Robert E. Hooker;Seckin Ozkul;Sun Yifan

  • Hybrid recommendation approaches for multi-criteria collaborative filtering

    Mehrbakhsh Nilashi;Othman Bin Ibrahim;Norafida Ithnin

  • Factors influencing medical tourism adoption in Malaysia: A DEMATEL-Fuzzy TOPSIS approach

    Mehrbakhsh Nilashi;Sarminah Samad;Azizah Abdul Manaf;Hossein Ahmadi

  • Determining the importance of Hospital Information System adoption factors using Fuzzy Analytic Network Process (ANP)

    Mehrbakhsh Nilashi;Hossein Ahmadi;Ali Ahani;Ramin Ravangard

  • Hospital Information System adoption

    Hossein Ahmadi;Mehrbakhsh Nilashi;Leila Shahmoradi;Othman Ibrahim

  • A hybrid intelligent system for the prediction of Parkinson's Disease progression using machine learning techniques

    Mehrbakhsh Nilashi;Mehrbakhsh Nilashi;Othman Ibrahim;Hossein Ahmadi;Hossein Ahmadi;Leila Shahmoradi

  • Influence of big data adoption on manufacturing companies' performance: An integrated DEMATEL-ANFIS approach

    Elaheh Yadegaridehkordi;Mehdi Hourmand;Mehrbakhsh Nilashi;Mehrbakhsh Nilashi;Liyana Shuib

  • A recommender system for tourism industry using cluster ensemble and prediction machine learning techniques

    Mehrbakhsh Nilashi;Mehrbakhsh Nilashi;Karamollah Bagherifard;Mohsen Rahmani;Vahid Rafe

  • A Multi-Stage Method to Predict Carbon Dioxide Emissions Using Dimensionality Reduction, Clustering, and Machine Learning Techniques

    Abbas Mardani;Huchang Liao;Mehrbakhsh Nilashi;Melfi Alrasheedi

  • The impact of big data on firm performance in hotel industry

    Elaheh Yadegaridehkordi;Mehrbakhsh Nilashi;Liyana Shuib;Mohd Hairul Nizam Bin Md Nasir

If you think any of the details on this page are incorrect, let us know.

Report an issue

We appreciate your kind effort to assist us to improve this page, it would be helpful providing us with as much detail as possible in the text box below: