World's Best Scientists 2026 revealed!
Ahmed E. Hassan

Ahmed E. Hassan

Award Badge
Computer Science
Canada
2025

D-Index & Metrics

Computer Science

D-Index
95
Citations
29194
World Ranking
472
National Ranking
16

Ahmed E. Hassan 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 E. Hassan 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: 395 publications — 87th percentile

87% of scientists in this discipline score the same or lower.

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

Ahmed E. Hassan 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 E. Hassan 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: 95 D-Index — 97th percentile

97% of scientists in this discipline score the same or lower.

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

Research.com Recognitions

  • 2025 - Research.com Computer Science in Canada Leader Award
  • 2023 - Research.com Computer Science in Canada Leader Award
  • 2022 - Research.com Computer Science in Canada Leader Award

Overview

Ahmed E. Hassan is affiliated with Queen's University in Canada and has a significant body of work primarily in the field of Computer Science. Their research encompasses several subfields including Information Systems, Artificial Intelligence, Computer Networks and Communications, Software, and Computer Science Applications.

Their research topics include Software Engineering Research, Software System Performance and Reliability, Software Engineering Techniques and Practices, Software Reliability and Analysis Research, Software Testing and Debugging Techniques, Topic Modeling, and Open Source Software Innovations.

Ahmed E. Hassan has authored multiple papers published in a variety of reputable venues. Recent notable papers include:

  • An exploratory study of smart contracts in the Ethereum blockchain platform (2020, Empirical Software Engineering)
  • The Impact of Feature Importance Methods on the Interpretation of Defect Classifiers (2021, IEEE Transactions on Software Engineering)
  • Developing Cost-Effective Blockchain-Powered Applications (2021, ACM Transactions on Software Engineering and Methodology)
  • Just-In-Time Defect Identification and Localization: A Two-Phase Framework (2020, IEEE Transactions on Software Engineering)
  • A Qualitative Study of the Benefits and Costs of Logging From Developers' Perspectives (2020, IEEE Transactions on Software Engineering)

Frequent co-authors with whom they have collaborated extensively include Bram Adams, Gustavo A. Oliva, Haoxiang Zhang, Xin Xia, and David Lo.

The primary publication venues where Hassan's work appears frequently consist of arXiv (Cornell University), Empirical Software Engineering, IEEE Transactions on Software Engineering, Zenodo (CERN European Organization for Nuclear Research), and ACM Transactions on Software Engineering and Methodology.

Best Publications

  • Predicting faults using the complexity of code changes

    Ahmed E. Hassan

  • A large-scale empirical study of just-in-time quality assurance

    Y. Kamei;E. Shihab;B. Adams;A. E. Hassan

  • What are developers talking about? An analysis of topics and trends in Stack Overflow

    Anton Barua;Stephen W. Thomas;Ahmed E. Hassan

  • Studying the effectiveness of application performance management (APM) tools for detecting performance regressions for web applications: an experience report

    Tarek M. Ahmed;Cor-Paul Bezemer;Tse-Hsun Chen;Ahmed E. Hassan

  • An Empirical Comparison of Model Validation Techniques for Defect Prediction Models

    Chakkrit Tantithamthavorn;Shane McIntosh;Ahmed E. Hassan;Kenichi Matsumoto

  • What Do Mobile App Users Complain About

    Hammad Khalid;Emad Shihab;Meiyappan Nagappan;Ahmed E. Hassan

  • The road ahead for Mining Software Repositories

    A.E. Hassan

  • The impact of code review coverage and code review participation on software quality: a case study of the qt, VTK, and ITK projects

    Shane McIntosh;Yasutaka Kamei;Bram Adams;Ahmed E. Hassan

  • The Impact of Automated Parameter Optimization on Defect Prediction Models

    Chakkrit Tantithamthavorn;Shane McIntosh;Ahmed E. Hassan;Kenichi Matsumoto

  • An empirical study of the impact of modern code review practices on software quality

    Shane Mcintosh;Yasutaka Kamei;Bram Adams;Ahmed E. Hassan

  • Automated parameter optimization of classification techniques for defect prediction models

    Chakkrit Tantithamthavorn;Shane McIntosh;Ahmed E. Hassan;Kenichi Matsumoto

  • Predicting change propagation in software systems

    A.E. Hassan;R.C. Holt

  • Revisiting the impact of classification techniques on the performance of defect prediction models

    Baljinder Ghotra;Shane McIntosh;Ahmed E. Hassan

  • Clustering WSDL Documents to Bootstrap the Discovery of Web Services

    Khalid Elgazzar;Ahmed E. Hassan;Patrick Martin

  • Measuring program comprehension: a large-scale field study with professionals

    Xin Xia;Lingfeng Bao;David Lo;Zhenchang Xing

  • The Impact of Class Rebalancing Techniques on the Performance and Interpretation of Defect Prediction Models

    Chakkrit Tantithamthavorn;Ahmed E. Hassan;Kenichi Matsumoto

  • System and method for controlling device usage

    Risvan Coskun;Daryl Joseph Martin;Ahmed E. Hassan;John Ferguson Wilson

  • The top ten list: dynamic fault prediction

    A.E. Hassan;R.C. Holt

  • Revisiting common bug prediction findings using effort-aware models

    Yasutaka Kamei;Shinsuke Matsumoto;Akito Monden;Ken-ichi Matsumoto

  • Cross-project defect prediction using a connectivity-based unsupervised classifier

    Feng Zhang;Quan Zheng;Ying Zou;Ahmed E. Hassan

Frequent Co-Authors

Bram Adams
Bram Adams Queen's University
Zhen Ming Jiang
Zhen Ming Jiang York University
Weiyi Shang
Weiyi Shang University of Waterloo
Shane McIntosh
Shane McIntosh McGill University
Meiyappan Nagappan
Meiyappan Nagappan University of Waterloo
Ying Zou
Ying Zou Queen's University
Richard C. Holt
Richard C. Holt De Montfort University
Emad Shihab
Emad Shihab Concordia University
Yasutaka Kamei
Yasutaka Kamei Kyushu University
Xin Xia
Xin Xia Huawei Technologies (China)

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