World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
56
Citations
14614
World Ranking
4023
National Ranking
23

Khaled Shaalan 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 Khaled Shaalan 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: 250 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: 560 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: 424 scientists 242–251 publications: 408 scientists 252–261 publications: 378 scientists 262–271 publications: 300 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: 314 publications — 76th percentile

76% of scientists in this discipline score the same or lower.

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

Khaled Shaalan 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 Khaled Shaalan sits on this spectrum.

30–31 D-Index: 879 scientists 32–33 D-Index: 984 scientists 34–35 D-Index: 918 scientists 36–37 D-Index: 990 scientists 38–39 D-Index: 969 scientists 40–41 D-Index: 907 scientists 42–43 D-Index: 821 scientists 44–45 D-Index: 765 scientists 46–47 D-Index: 689 scientists 48–49 D-Index: 543 scientists 50–51 D-Index: 543 scientists 52–53 D-Index: 517 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: 56 D-Index — 72nd percentile

72% of scientists in this discipline score the same or lower.

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

Overview

Khaled Shaalan is affiliated with the British University in Dubai in the United Arab Emirates. Their research spans across the broad field of Computer Science, with a concentration on Artificial Intelligence, Information Systems, and related subfields. The primary focus involves areas such as Technology Adoption and User Behaviour, Organizational and Employee Performance, and Sentiment Analysis and Opinion Mining.

The scientist has contributed extensively to academic literature with a total of 258 publications in Computer Science. Key subfields include Artificial Intelligence (165 publications), Information Systems (40 publications), Information Systems and Management (27 publications), Sociology and Political Science (18 publications), and Computer Science Applications (16 publications). Their primary research topics cover:

  • Organizational and Employee Performance
  • Technology Adoption and User Behaviour
  • Topic Modeling
  • Sentiment Analysis and Opinion Mining
  • Online Learning and Analytics
  • AI in Service Interactions
  • Knowledge Management and Sharing

Frequent co-authors collaborating with Khaled Shaalan include:

  • Said A. Salloum (66 collaborations)
  • Mostafa Al-Emran (25 collaborations)
  • Manar Alkhatib (14 collaborations)
  • Ahlam Wahdan (10 collaborations)
  • Suha Khalil Assayed (8 collaborations)

The scientist has published multiple papers in prominent venues such as:

  • Procedia Computer Science (8 publications)
  • Studies in Systems, Decision and Control (7 publications)
  • IEEE Access (5 publications)
  • International Journal of Advanced Computer Science and Applications (4 publications)
  • ACM Transactions on Asian and Low-Resource Language Information Processing (4 publications)

Selected recent papers authored or co-authored by Khaled Shaalan include:

  • "Fear from COVID-19 and technology adoption: the impact of Google Meet during Coronavirus pandemic" (2020, Interactive Learning Environments)
  • "Technology Acceptance in Healthcare: A Systematic Review" (2021, Applied Sciences)
  • "A Systematic Literature Review on Phishing Email Detection Using Natural Language Processing Techniques" (2022, IEEE Access)
  • "Machine Learning and Deep Learning Techniques for Cybersecurity: A Review" (2020, Advances in Intelligent Systems and Computing)
  • "Towards building a blockchain framework for IoT" (2020, Cluster Computing)

Khaled Shaalan has also contributed to several books published by Springer International Publishing and Springer Nature. Notable book publications include:

  • "Recent Advances in Intelligent Systems and Smart Applications" (2020, Springer International Publishing)
  • "International Conference on Information Systems and Intelligent Applications" (2022, Springer International Publishing)
  • "Proceedings of the 2nd International Conference on Emerging Technologies and Intelligent Systems" (2022, Springer International Publishing)
  • "Augmented Intelligence in Healthcare: A Pragmatic and Integrated Analysis" (2022, Springer Nature)
  • "Recent Innovations in Artificial Intelligence and Smart Applications" (2022, Springer Nature)

Best Publications

  • A Survey of Web Information Extraction Systems

    C.-H. Chang;M. Kayed;R. Girgis;K.F. Shaalan

  • Speech Recognition Using Deep Neural Networks: A Systematic Review

    Ali Bou Nassif;Ismail Shahin;Imtinan Basem Attili;Mohammad Azzeh

  • Investigating attitudes towards the use of mobile learning in higher education

    Mostafa Al-Emran;Hatem M. Elsherif;Khaled Shaalan

  • Arabic Natural Language Processing: Challenges and Solutions

    Ali Farghaly;Khaled Shaalan

  • Exploring Students’ Acceptance of E-Learning Through the Development of a Comprehensive Technology Acceptance Model

    Said A. Salloum;Ahmad Qasim Mohammad Alhamad;Mostafa Al-Emran;Azza Abdel Monem

  • Arabic Named Entity Recognition from Diverse Text Types

    Khaled Shaalan;Hafsa Raza

  • Technology Acceptance in Healthcare: A Systematic Review

    Adi A. AlQudah;Mostafa Al-Emran;Khaled Shaalan

  • A survey of text mining in social media: Facebook and Twitter perspectives

    Said A. Salloum;Mostafa Al-Emran;Azza Abdel Monem;Khaled Shaalan

  • Factors affecting the E-learning acceptance: A case study from UAE

    Said A. Salloum;Mostafa Al-Emran;Mostafa Al-Emran;Khaled Shaalan;Ali Tarhini

  • The impact of knowledge management processes on information systems: A systematic review

    Mostafa Al-Emran;Vitaliy Mezhuyev;Adzhar Kamaludin;Khaled Shaalan

  • A survey of arabic named entity recognition and classification

    Khaled Shaalan

  • Factors Affecting Students’ Performance in Higher Education: A Systematic Review of Predictive Data Mining Techniques

    Amjed Abu Saa;Mostafa Al-Emran;Khaled Shaalan

  • Using Text Mining Techniques for Extracting Information from Research Articles

    Said A. Salloum;Mostafa Al-Emran;Mostafa Al-Emran;Azza Abdel Monem;Khaled Shaalan

  • Understanding the Quality Determinants that Influence the Intention to Use the Mobile Learning Platforms: A Practical Study

    Muhammad Turki Alshurideh;Said Abdelrahim Salloum;Barween Al Kurdi;Azza Abdel Monem

  • NERA: Named Entity Recognition for Arabic

    Unknown

  • Aspect-based sentiment analysis using smart government review data

    Omar Alqaryouti;Nur Siyam;Azza Abdel Monem;Khaled Shaalan;Khaled Shaalan

  • Mining in Educational Data: Review and Future Directions

    Said A. Salloum;Muhammad Alshurideh;Ashraf Elnagar;Khaled Shaalan

  • Factors Affecting Students’ Acceptance of E-Learning System in Higher Education Using UTAUT and Structural Equation Modeling Approaches

    Said A. Salloum;Khaled Shaalan

  • Arabic Tweets Sentimental Analysis Using Machine Learning

    Khaled Mohammad Alomari;Hatem M. ElSherif;Khaled Shaalan

  • NERA: Named Entity Recognition for Arabic

    Khaled Shaalan;Hafsa Raza

  • Rule-based Approach in Arabic Natural Language Processing

    Khaled Shaalan

  • Machine Learning and Deep Learning Techniques for Cybersecurity: A Review

    Said A. Salloum;Muhammad Alshurideh;Ashraf Elnagar;Khaled Shaalan

  • Towards building a blockchain framework for IoT

    Deepa Pavithran;Khaled Shaalan;Jamal N. Al-Karaki;Amjad Gawanmeh

Frequent Co-Authors

Said A. Salloum
Said A. Salloum University of Sharjah
Mostafa Al-Emran
Mostafa Al-Emran Victoria University
Aboul Ella Hassanien
Aboul Ella Hassanien Cairo University
Sergio Toral
Sergio Toral University of Seville
Josef van Genabith
Josef van Genabith Saarland University
Ali Tarhini
Ali Tarhini Sultan Qaboos University
Ali Bou Nassif
Ali Bou Nassif University of Sharjah

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