World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
34
Citations
7169
World Ranking
11970
National Ranking
4888

Ahmed Abbasi 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 Ahmed Abbasi 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: 106 publications — 10th percentile

10% of scientists in this discipline score the same or lower.

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

Ahmed Abbasi 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 Ahmed Abbasi 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: 34 D-Index — 16th percentile

16% of scientists in this discipline score the same or lower.

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

Overview

Ahmed Abbasi is affiliated with the University of Notre Dame in the United States. Their research primarily spans the field of computer science with a focus on artificial intelligence, sociology and political science, information systems, social psychology, and experimental and cognitive psychology.

Their work covers several key topics including:

  • Topic Modeling
  • Natural Language Processing Techniques
  • Mental Health via Writing
  • Mental Health Research Topics
  • Digital Mental Health Interventions
  • Sentiment Analysis and Opinion Mining
  • Spam and Phishing Detection

Ahmed Abbasi's frequent publication venues reflect a strong presence in both computer science and information systems communities. These include:

  • arXiv (Cornell University)
  • Information Systems Research
  • MIS Quarterly
  • ACM Transactions on Information Systems
  • SSRN Electronic Journal

Their recent published papers comprise:

  • The Phishing Funnel Model: A Design Artifact to Predict User Susceptibility to Phishing Websites, 2021, Information Systems Research
  • Auto-Debias: Debiasing Masked Language Models with Automated Biased Prompts, 2022, Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)
  • Getting Personal: A Deep Learning Artifact for Text-Based Measurement of Personality, 2022, Information Systems Research
  • A Deep Learning Architecture for Psychometric Natural Language Processing, 2020, ACM Transactions on Information Systems
  • Path to Purpose? How Online Customer Journeys Differ for Hedonic Versus Utilitarian Purchases, 2020, Journal of Marketing

Frequent collaborators in their research include:

  • David G. Dobolyi
  • Gari D. Clifford
  • Zifan Jiang
  • Salman Seyedi
  • Emily Griner

Best Publications

  • Sentiment analysis in multiple languages: Feature selection for opinion classification in Web forums

    Ahmed Abbasi;Hsinchun Chen;Arab Salem

  • Big Data Research in Information Systems: Toward an Inclusive Research Agenda

    Ahmed Abbasi;Suprateek Sarker;Suprateek Sarker;Roger H.L. Chiang

  • Applying authorship analysis to extremist-group Web forum messages

    A. Abbasi;H. Chen

  • Writeprints: A stylometric approach to identity-level identification and similarity detection in cyberspace

    Ahmed Abbasi;Hsinchun Chen

  • Metafraud: a meta-learning framework for detecting financial fraud

    Ahmed Abbasi;Conan Albrecht;Anthony Vance;James Hansen

  • Advanced Customer Analytics: Strategic Value Through Integration of Relationship-Oriented Big Data

    Brent Kitchens;David G. Dobolyi;Jingjing Li;Ahmed Abbasi

  • Detecting fake websites: the contribution of statistical learning theory

    Ahmed Abbasi;Zhu Zhang;David Zimbra;Hsinchun Chen

  • Selecting Attributes for Sentiment Classification Using Feature Relation Networks

    Ahmed Abbasi;Zhu Zhang;Hsinchun Chen

  • The State-of-the-Art in Twitter Sentiment Analysis: A Review and Benchmark Evaluation

    David Zimbra;Ahmed Abbasi;Daniel Zeng;Hsinchun Chen

  • CyberGate: a design framework and system for text analysis of computer-mediated communication

    Ahmed Abbasi;Hsinchun Chen

  • Twitter Sentiment Analysis: A Bootstrap Ensemble Framework

    Ammar Hassan;Ahmed Abbasi;Daniel Zeng

  • Auto-Debias: Debiasing Masked Language Models with Automated Biased Prompts

    Unknown

  • Affect Analysis of Web Forums and Blogs Using Correlation Ensembles

    A. Abbasi;Hsinchun Chen;S. Thoms;Tianjun Fu

  • Affect Intensity Analysis of Dark Web Forums

    A. Abbasi

  • A focused crawler for Dark Web forums

    Unknown

  • A focused crawler for Dark Web forums

    Tianjun Fu;Ahmed Abbasi;Hsinchun Chen

  • Text Analytics to Support Sense-Making in Social Media: A Language-Action Perspective

    Ahmed Abbasi;Yili Zhou;Shasha Deng;Pengzhu Zhang

  • Fake-Website Detection Tools: Identifying Elements That Promote Individuals' Use and Enhance Their Performance

    Fatemeh Mariam Zahedi;Ahmed Abbasi;Yan Chen

  • Enhancing Predictive Analytics for Anti-Phishing by Exploiting Website Genre Information

    Ahmed Abbasi;Fatemeh Mariam Zahedi;Daniel Zeng;Yan Chen

  • Visualizing authorship for identification

    Ahmed Abbasi;Hsinchun Chen

  • Benchmarking Twitter Sentiment Analysis Tools

    Ahmed Abbasi;Ammar Hassan;Milan Dhar

  • Descriptive Analytics: Examining Expert Hackers in Web Forums

    Ahmed Abbasi;Weifeng Li;Victor Benjamin;Shiyu Hu

  • Detecting Fake Medical Web Sites Using Recursive Trust Labeling

    Ahmed Abbasi;Fatemeh “Mariam” Zahedi;Siddharth Kaza

  • Social Media Analytics for Smart Health

    Ahmed Abbasi;Donald Adjeroh;Mark Dredze;Michael J. Paul

  • Intelligent Feature Selection for Opinion Classification.

    Ahmed Abbasi

  • Stylometric Identification in Electronic Markets: Scalability and Robustness

    Ahmed Abbasi;Hsinchun Chen;Jay Nunamaker

Frequent Co-Authors

Hsinchun Chen
Hsinchun Chen University of Arizona
Donald A. Adjeroh
Donald A. Adjeroh West Virginia University
Daniel Zeng
Daniel Zeng Chinese Academy of Sciences
Fatemeh Zahedi
Fatemeh Zahedi University of Wisconsin–Milwaukee
Richard G. Netemeyer
Richard G. Netemeyer University of Virginia
Donald E. Brown
Donald E. Brown University of Virginia
Gari D. Clifford
Gari D. Clifford Emory University
Raymond Y. K. Lau
Raymond Y. K. Lau City University of Hong Kong
Jay F. Nunamaker
Jay F. Nunamaker University of Arizona
Herman A. Taylor
Herman A. Taylor Morehouse School of Medicine

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