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D-Index & Metrics

Computer Science

D-Index
67
Citations
12759
World Ranking
2243
National Ranking
17

Said A. Salloum 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 Said A. Salloum 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: 195 publications — 44th percentile

44% of scientists in this discipline score the same or lower.

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

Said A. Salloum 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 Said A. Salloum 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: 67 D-Index — 85th percentile

85% of scientists in this discipline score the same or lower.

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

Overview

Said A. Salloum is affiliated with the University of Sharjah in the United Arab Emirates. Their research spans several fields with a strong emphasis on computer science, social sciences, and decision sciences. The primary focus of their work is within the domains of artificial intelligence, information systems and management, sociology and political science, information systems, and communication.

The scholar has contributed extensively to topics including:

  • Organizational and Employee Performance
  • Technology Adoption and User Behaviour
  • Digital Marketing and Social Media
  • Online Learning and Analytics
  • Sentiment Analysis and Opinion Mining
  • Knowledge Management and Sharing
  • Spam and Phishing Detection

Among Said A. Salloum's recent papers are:

  • "A conceptual framework for determining metaverse adoption in higher institutions of gulf area: An empirical study using hybrid SEM-ANN approach," 2022, Computers and Education Artificial Intelligence
  • "Prediction of User's Intention to Use Metaverse System in Medical Education: A Hybrid SEM-ML Learning Approach," 2022, IEEE Access
  • "An empirical examination of continuous intention to use m-learning: An integrated model," 2020, Education and Information Technologies
  • "Fear from COVID-19 and technology adoption: the impact of Google Meet during Coronavirus pandemic," 2020, Interactive Learning Environments
  • "Predicting the actual use of m-learning systems: a comparative approach using PLS-SEM and machine learning algorithms," 2020, Interactive Learning Environments

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

  • Khaled Shaalan, with 66 joint publications
  • Raghad Alfaisal, with 50 joint publications
  • Muhammad Turki Alshurideh, with 37 joint publications
  • Ahmad Aburayya, with 34 joint publications
  • Barween Al Kurdi, with 26 joint publications

Said A. Salloum's work has appeared prominently in venues such as:

  • Advances in Intelligent Systems and Computing, with 15 publications
  • International Journal of Data and Network Science, with 12 publications
  • IEEE Access, with 7 publications
  • Electronics, with 6 publications
  • Studies in Systems, Decision and Control, with 6 publications

Best Publications

  • 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

  • A conceptual framework for determining metaverse adoption in higher institutions of gulf area: An empirical study using hybrid SEM-ANN approach

    Unknown

  • Prediction of User’s Intention to Use Metaverse System in Medical Education: A Hybrid SEM-ML Learning Approach

    Unknown

  • An Empirical Examination of Continuous Intention to Use M-Learning: An Integrated Model.

    Mostafa Al-Emran;Ibrahim Arpaci;Said A. Salloum

  • 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

  • Predicting the actual use of m-learning systems: a comparative approach using PLS-SEM and machine learning algorithms

    Muhammad Alshurideh;Barween Al Kurdi;Said A. Salloum;Ibrahim Arpaci

  • Using Text Mining Techniques for Extracting Information from Research Articles

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

  • Using Machine Learning Algorithms to Predict People's Intention to Use Mobile Learning Platforms During the COVID-19 Pandemic: Machine Learning Approach.

    Iman Akour;Muhammad Alshurideh;Muhammad Alshurideh;Barween Al Kurdi;Amel Al Ali

  • An Empirical Investigation into Examination of Factors Influencing University Students’ Behavior towards Elearning Acceptance Using SEM Approach

    Barween Al Kurdi;Muhammad Alshurideh;Said A. Salloum;Zaid Mohammad Obeidat

  • 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

  • Investigating a theoretical framework for e-learning technology acceptance

    Barween Al Kurdi;Muhammad Alshurideh;Said A. Salloum

  • The moderation effect of gender on accepting electronic payment technology: a study on United Arab Emirates consumers

    Muhammad Turki Alshurideh;Barween Al Kurdi;Ra’ed Masa’deh;Said A. Salloum

  • Factors affecting the Social Networks Acceptance: An Empirical Study using PLS-SEM Approach

    Muhammad Alshurideh;Said A. Salloum;Barween Al Kurdi;Mostafa Al-Emran

  • 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

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

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

  • Sustainability Model for the Continuous Intention to Use Metaverse Technology in Higher Education: A Case Study from Oman

    Unknown

  • The Relationship between Social Media and Academic Performance: Facebook Perspective

    Mohammed Habes;Mahmoud Alghizzawi;Rifat Khalaf;Said A. Salloum

  • Phishing email detection using Natural Language Processing techniques : a literature survey

    Said Salloum;Tarek Gaber;Tarek Gaber;Sunil Vadera;Khaled Shaalan

  • An Innovative Study of E-Payment Systems Adoption in Higher Education: Theoretical Constructs and Empirical Analysis

    Said A. Salloum;Mostafa Al-Emran;Rifat Khalaf;Mohammed Habes

  • Students' Attitudes Towards the Use of Mobile Technologies in e-Evaluation

    Mostafa Al-Emran;Said A. Salloum

  • The Effectiveness of Online Platforms after the Pandemic: Will Face-to-Face Classes Affect Students' Perception of Their Behavioural Intention (BIU) to Use Online Platforms

    Rana Saeed Al-Maroof;Noha Alnazzawi;Iman A. Akour;Kevin Ayoubi

  • A Survey of Arabic Text Mining

    Said A. Salloum;Ahmad Qasim AlHamad;Mostafa Al-Emran;Mostafa Al-Emran;Khaled Shaalan

Frequent Co-Authors

Khaled Shaalan
Khaled Shaalan British University in Dubai
Muhammad Alshurideh
Muhammad Alshurideh University of Sharjah
Mostafa Al-Emran
Mostafa Al-Emran Victoria University
Ali Bou Nassif
Ali Bou Nassif University of Sharjah
Ra’ed Masa’deh
Ra’ed Masa’deh University of Jordan
Ali Tarhini
Ali Tarhini Sultan Qaboos University
Aboul Ella Hassanien
Aboul Ella Hassanien Cairo University

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