World's Best Scientists 2026 revealed!
Cagatay Catal

Cagatay Catal

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Computer Science
Qatar
2026

D-Index & Metrics

Computer Science

D-Index
47
Citations
10394
World Ranking
6426
National Ranking
8

Cagatay Catal 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 Cagatay Catal 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: 154 publications — 28th percentile

28% of scientists in this discipline score the same or lower.

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

Cagatay Catal 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 Cagatay Catal 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: 47 D-Index — 56th percentile

56% 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

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

Overview

Cagatay Catal is a researcher affiliated with Wageningen University & Research in the Netherlands. Their work is primarily situated within the field of Computer Science, with a particular focus on Information Systems, Computer Networks and Communications, Artificial Intelligence, Industrial and Manufacturing Engineering, and Software.

Their research covers several key topics, including:

  • Software Engineering Research
  • Smart Agriculture and AI
  • Network Security and Intrusion Detection
  • Digital Transformation in Industry
  • Software System Performance and Reliability
  • Advanced Malware Detection Techniques
  • Software Reliability and Analysis Research

Cagatay Catal has contributed to multiple publication venues, frequently publishing in:

  • SSRN Electronic Journal
  • Sensors
  • Computers and Electronics in Agriculture
  • Neural Computing and Applications
  • Cluster Computing

Among their recent papers are:

  • Crop yield prediction using machine learning: A systematic literature review, 2020, Computers and Electronics in Agriculture
  • Predictive maintenance using digital twins: A systematic literature review, 2022, Information and Software Technology
  • Automation of systematic literature reviews: A systematic literature review, 2021, Information and Software Technology
  • Systematic reviews in sentiment analysis: a tertiary study, 2021, Artificial Intelligence Review
  • Machine learning applications in production lines: A systematic literature review, 2020, Computers & Industrial Engineering

The researcher collaborates frequently with several co-authors, including:

  • Bedir Tekinergan (59 publications)
  • Raymon van Dinter (14 publications)
  • Fatma Patlar Akbulut (12 publications)
  • Akhan Akbulut (9 publications)
  • Alper Özcan (8 publications)

Best Publications

  • Crop yield prediction using machine learning: A systematic literature review

    Thomas van Klompenburg;Ayalew Kassahun;Cagatay Catal

  • A systematic review of software fault prediction studies

    Cagatay Catal;Banu Diri

  • Analysis of transfer learning for deep neural network based plant classification models

    Aydin Kaya;Ali Seydi Keceli;Cagatay Catal;Hamdi Yalin Yalic

  • Review: Software fault prediction: A literature review and current trends

    Cagatay Catal

  • Investigating the effect of dataset size, metrics sets, and feature selection techniques on software fault prediction problem

    Cagatay Catal;Banu Diri

  • Automation of systematic literature reviews: A systematic literature review

    Raymon van Dinter;Bedir Tekinerdogan;Cagatay Catal

  • Systematic reviews in sentiment analysis: a tertiary study

    Alexander Ligthart;Cagatay Catal;Bedir Tekinerdogan

  • On the use of ensemble of classifiers for accelerometer-based activity recognition

    Cagatay Catal;Selin Tufekci;Elif Pirmit;Guner Kocabag

  • A sentiment classification model based on multiple classifiers

    Cagatay Catal;Mehmet Nangir

  • Test case prioritization: a systematic mapping study

    Cagatay Catal;Deepti Mishra

  • Closing the Gap Between Software Engineering Education and Industrial Needs

    Vahid Garousi;Gorkem Giray;Eray Tuzun;Cagatay Catal

  • Machine learning applications in production lines: A systematic literature review

    Ziqiu Kang;Cagatay Catal;Bedir Tekinerdogan

  • Precision nutrition: A systematic literature review.

    Daniel Kirk;Cagatay Catal;Bedir Tekinerdogan

  • Hybrid Blockchain Platforms for the Internet of Things (IoT): A Systematic Literature Review

    Unknown

  • Applications of deep learning for phishing detection: a systematic literature review

    Unknown

  • Practical development of an Eclipse-based software fault prediction tool using Naive Bayes algorithm

    Cagatay Catal;Ugur Sevim;Banu Diri

  • Design of a reference architecture for developing smart warehouses in industry 4.0

    Maarten van Geest;Bedir Tekinerdogan;Cagatay Catal

  • A hybrid DNN-LSTM model for detecting phishing URLs.

    Alper Ozcan;Alper Ozcan;Cagatay Catal;Emrah Donmez;Behcet Senturk

  • Clustering and Metrics Thresholds Based Software Fault Prediction of Unlabeled Program Modules

    Cagatay Catal;Ugur Sevim;Banu Diri

  • Remaining Useful Life (RUL) Prediction of Equipment in Production Lines Using Artificial Neural Networks

    Ziqiu Kang;Cagatay Catal;Bedir Tekinerdogan

  • Aligning software engineering education with industrial needs: A meta-analysis

    Vahid Garousi;Görkem Giray;Eray Tüzün;Cagatay Catal

  • Empirical analysis of change metrics for software fault prediction

    Garvit Rajesh Choudhary;Sandeep Kumar;Kuldeep Kumar;Alok Mishra

  • Performance Evaluation Metrics for Software Fault Prediction Studies

    Cagatay Catal

Frequent Co-Authors

Bedir Tekinerdogan
Bedir Tekinerdogan Wageningen University & Research
Michael Felderer
Michael Felderer University of Cologne
Kemal Polat
Kemal Polat Abant Izzet Baysal University
Ali Bou Nassif
Ali Bou Nassif University of Sharjah
Min Song
Min Song Yonsei University

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