World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
45
Citations
7706
World Ranking
7250
National Ranking
3162

Olfa Nasraoui publication distribution in Computer Science in 2026

The chart shows the distribution of publications by all Research.com ranked scientists in the field of Computer Science in 2026. The highlighted bar marks where Olfa Nasraoui sits on this spectrum.

32–41 publications: 7 scientists 42–51 publications: 22 scientists 52–61 publications: 82 scientists 62–71 publications: 134 scientists 72–81 publications: 249 scientists 82–91 publications: 324 scientists 92–101 publications: 421 scientists 102–111 publications: 420 scientists 112–121 publications: 497 scientists 122–131 publications: 544 scientists 132–141 publications: 555 scientists 142–151 publications: 609 scientists 152–161 publications: 559 scientists 162–171 publications: 534 scientists 172–181 publications: 556 scientists 182–191 publications: 583 scientists 192–201 publications: 519 scientists 202–211 publications: 508 scientists 212–221 publications: 490 scientists 222–231 publications: 437 scientists 232–241 publications: 423 scientists 242–251 publications: 408 scientists 252–261 publications: 377 scientists 262–271 publications: 301 scientists 272–281 publications: 335 scientists 282–291 publications: 320 scientists 292–301 publications: 293 scientists 302–311 publications: 250 scientists 312–321 publications: 238 scientists 322–331 publications: 206 scientists 332–341 publications: 209 scientists 342–351 publications: 208 scientists 352–361 publications: 162 scientists 362–371 publications: 176 scientists 372–381 publications: 127 scientists 382–391 publications: 158 scientists 392–401 publications: 128 scientists 402–411 publications: 104 scientists 412–421 publications: 94 scientists 422–431 publications: 99 scientists 432–441 publications: 83 scientists 442–451 publications: 108 scientists 452–461 publications: 73 scientists 462–471 publications: 77 scientists 472–481 publications: 69 scientists 482–491 publications: 84 scientists 492–501 publications: 62 scientists 502–511 publications: 54 scientists 512–521 publications: 57 scientists 522–531 publications: 51 scientists 532–541 publications: 51 scientists 542–551 publications: 32 scientists 552–561 publications: 38 scientists 562–571 publications: 28 scientists 572–581 publications: 43 scientists 582–591 publications: 33 scientists 592–601 publications: 41 scientists 602–611 publications: 32 scientists 612–621 publications: 28 scientists 622–631 publications: 25 scientists 632–641 publications: 27 scientists 642–651 publications: 17 scientists 652–661 publications: 20 scientists 662–671 publications: 17 scientists 672–681 publications: 15 scientists 682–691 publications: 14 scientists 692–701 publications: 21 scientists 702–711 publications: 13 scientists 712–721 publications: 12 scientists 722–731 publications: 19 scientists 732–741 publications: 14 scientists 742–751 publications: 12 scientists 752–761 publications: 10 scientists 762–771 publications: 10 scientists 772–781 publications: 11 scientists 782–791 publications: 10 scientists 792–801 publications: 11 scientists 802–811 publications: 8 scientists 812–821 publications: 8 scientists 822–831 publications: 7 scientists 832–841 publications: 11 scientists 842–851 publications: 10 scientists 852–861 publications: 5 scientists 862–871 publications: 9 scientists 872–881 publications: 4 scientists 882–891 publications: 6 scientists 892–901 publications: 3 scientists 902–911 publications: 6 scientists 912–921 publications: 3 scientists 922–931 publications: 2 scientists 932–941 publications: 2 scientists 942–951 publications: 2 scientists 952–961 publications: 3 scientists 962–971 publications: 3 scientists 972–981 publications: 3 scientists 982–990 publications: 5 scientists 991+ publications: 100 scientists
32 publications 991+

This scientist: 210 publications — 50th percentile

50% of scientists in this discipline score the same or lower.

The last bar groups every scientist with 991 publications or more.

Olfa Nasraoui D-index placement in Computer Science in 2026

The chart shows the D-index (discipline H-index) distribution of Computer Science scientists ranked by Research.com in 2026. The highlighted bar marks where Olfa Nasraoui sits on this spectrum.

30–31 D-Index: 879 scientists 32–33 D-Index: 983 scientists 34–35 D-Index: 918 scientists 36–37 D-Index: 990 scientists 38–39 D-Index: 968 scientists 40–41 D-Index: 907 scientists 42–43 D-Index: 821 scientists 44–45 D-Index: 763 scientists 46–47 D-Index: 689 scientists 48–49 D-Index: 543 scientists 50–51 D-Index: 543 scientists 52–53 D-Index: 518 scientists 54–55 D-Index: 500 scientists 56–57 D-Index: 458 scientists 58–59 D-Index: 400 scientists 60–61 D-Index: 337 scientists 62–63 D-Index: 308 scientists 64–65 D-Index: 292 scientists 66–67 D-Index: 249 scientists 68–69 D-Index: 213 scientists 70–71 D-Index: 192 scientists 72–73 D-Index: 189 scientists 74–75 D-Index: 165 scientists 76–77 D-Index: 139 scientists 78–79 D-Index: 119 scientists 80–81 D-Index: 121 scientists 82–83 D-Index: 113 scientists 84–85 D-Index: 88 scientists 86–87 D-Index: 87 scientists 88–89 D-Index: 75 scientists 90–91 D-Index: 69 scientists 92–93 D-Index: 57 scientists 94–95 D-Index: 46 scientists 96–97 D-Index: 38 scientists 98–99 D-Index: 34 scientists 100–101 D-Index: 36 scientists 102–103 D-Index: 27 scientists 104–105 D-Index: 37 scientists 106–107 D-Index: 18 scientists 108–109 D-Index: 31 scientists 110–111 D-Index: 19 scientists 112–113 D-Index: 16 scientists 114–115 D-Index: 12 scientists 116–117 D-Index: 20 scientists 118–119 D-Index: 15 scientists 120–121 D-Index: 5 scientists 122–123 D-Index: 20 scientists 124–125 D-Index: 8 scientists 126–127 D-Index: 5 scientists 128–129 D-Index: 7 scientists 130 D-Index: 3 scientists 131+ D-Index: 98 scientists
30 D-Index 131+

This scientist: 45 D-Index — 51st percentile

51% of scientists in this discipline score the same or lower.

The last bar groups every scientist with 131 D-Index or more.

Overview

Olfa Nasraoui is affiliated with the University of Louisville in the United States and conducts research primarily in the field of Computer Science, with a focus on Artificial Intelligence. Their work spans several subfields including Management Science and Operations Research, Information Systems, Control and Systems Engineering, and Computer Science Applications.

The scientist's research topics include:

  • Explainable Artificial Intelligence (XAI)
  • Recommender Systems and Techniques
  • Advanced Bandit Algorithms Research
  • Adversarial Robustness in Machine Learning
  • Forecasting Techniques and Applications
  • Anomaly Detection Techniques and Applications
  • Robot Manipulation and Learning

Nasraoui has published extensively in venues such as arXiv (Cornell University), Electronics, PLoS ONE, Journal of Theoretical and Applied Electronic Commerce Research, and IEEE Access.

Some recent papers authored or co-authored by Olfa Nasraoui include:

  • "Evolution and impact of bias in human and machine learning algorithm interaction," 2020, PLoS ONE
  • "An Explainable Artificial Intelligence Approach for Multi-Criteria ABC Item Classification," 2023, Journal of Theoretical and Applied Electronic Commerce Research
  • "Interpretable Multi-Criteria ABC Analysis Based on Semi-Supervised Clustering and Explainable Artificial Intelligence," 2023, IEEE Access
  • "Debiasing the Cloze Task in Sequential Recommendation with Bidirectional Transformers," 2022, Proceedings of the 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining
  • "Sequence-Based Explainable Hybrid Song Recommendation," 2021, Frontiers in Big Data

Nasraoui's frequent collaborators include scholars such as Cagla Acun, Khalil Damak, Sami Khenissi, Mariem Boujelbene, and Dan O. Popa.

Best Publications

  • Automatic Recommendations for E-Learning Personalization Based on Web Usage Mining Techniques and Information Retrieval

    Mohamed Koutheair Khribi;Mohamed Jemni;Olfa Nasraoui

  • Low-complexity fuzzy relational clustering algorithms for Web mining

    R. Krishnapuram;A. Joshi;O. Nasraoui;L. Yi

  • Fuzzy and possibilistic shell clustering algorithms and their application to boundary detection and surface approximation. II

    R. Krishnapuram;H. Frigui;O. Nasraoui

  • Unsupervised learning of prototypes and attribute weights

    Hichem Frigui;Olfa Nasraoui

  • Mining search engine query logs for query recommendation

    Zhiyong Zhang;Olfa Nasraoui

  • A Web Usage Mining Framework for Mining Evolving User Profiles in Dynamic Web Sites

    O. Nasraoui;M. Soliman;E. Saka;A. Badia

  • The fuzzy c spherical shells algorithm: A new approach

    R. Krishnapuram;O. Nasraoui;H. Frigui

  • Deep Learning of Part-Based Representation of Data Using Sparse Autoencoders With Nonnegativity Constraints

    Ehsan Hosseini-Asl;Jacek M. Zurada;Olfa Nasraoui

  • EXTRACTING WEB USER PROFILES USING RELATIONAL COMPETITIVE FUZZY CLUSTERING

    Olfa Nasraoui;Hichem Frigui;Raghu Krishnapuram;Anupam Joshi

  • Evolution and impact of bias in human and machine learning algorithm interaction

    Unknown

  • Web Usage Mining

    Bing Liu;Bamshad Mobasher;Olfa Nasraoui

  • TECNO-STREAMS: tracking evolving clusters in noisy data streams with a scalable immune system learning model

    O. Nasraoui;C.C. Uribe;C.R. Coronel;F. Gonzalez

  • Using Explainability for Constrained Matrix Factorization

    Behnoush Abdollahi;Olfa Nasraoui

  • Mining web access logs using a fuzzy relational clustering algorithm based on a robust estimator

    Olfa Nasraoui;Raghu Krishnapuram;Anupam Joshi

  • World Wide Web Personalization

    Olfa Nasraoui

  • Proceedings of the 9th WebKDD and 1st SNA-KDD 2007 workshop on Web mining and social network analysis

    Haizheng Zhang;Bamshad Mobasher;Lee Giles;Andrew McCallum

  • Simultaneous Clustering and Dynamic Keyword Weighting for Text Documents

    Hichem Frigui;Olfa Nasraoui

  • Anomaly detection based on unsupervised niche clustering with application to network intrusion detection

    E. Leon;O. Nasraoui;J. Gomez

  • A New Gravitational Clustering Algorithm.

    Jonatan Gómez;Dipankar Dasgupta;Olfa Nasraoui

  • Advances in Web Mining and Web Usage Analysis

    Haizheng Zhang;Myra Spiliopoulou;Bamshad Mobasher;C. Lee Giles

  • Web data mining: exploring hyperlinks, contents, and usage data

    Olfa Nasraoui

Frequent Co-Authors

Raghu Krishnapuram
Raghu Krishnapuram Indian Institute of Science
Bamshad Mobasher
Bamshad Mobasher DePaul University
Fabio A. González
Fabio A. González National University of Colombia
Myra Spiliopoulou
Myra Spiliopoulou Otto-von-Guericke University Magdeburg
Jaideep Srivastava
Jaideep Srivastava University of Minnesota
Anupam Joshi
Anupam Joshi University of Maryland, Baltimore County
C. Lee Giles
C. Lee Giles Pennsylvania State University
John Yen
John Yen Pennsylvania State University
Andrew McCallum
Andrew McCallum University of Massachusetts Amherst
Dipankar Dasgupta
Dipankar Dasgupta University of Memphis

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