World's Best Scientists 2026 revealed!
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Computer Science
Estonia
2025

D-Index & Metrics

Computer Science

D-Index
40
Citations
6906
World Ranking
9298
National Ranking
3

Sherif Sakr 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 Sherif Sakr 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: 242 publications — 60th percentile

60% of scientists in this discipline score the same or lower.

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

Sherif Sakr 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 Sherif Sakr 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: 40 D-Index — 37th percentile

37% 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 Estonia Leader Award
  • 2022 - Research.com Computer Science in Estonia Leader Award
  • 2017 - ACM Senior Member

Overview

Sherif Sakr was affiliated with the University of Tartu in Estonia during their academic career. Their research primarily spanned the fields of Computer Science and Medicine, reflecting an interdisciplinary approach to their work.

The main fields of study covered by their publications included:

  • Computer Science (71 publications)
  • Medicine (20 publications)

The scientist specialized in multiple notable subfields within these areas. These subfields included:

  • Artificial Intelligence
  • Computer Vision and Pattern Recognition
  • Computer Networks and Communications
  • Cardiology and Cardiovascular Medicine
  • Information Systems

The core topics covered throughout their work were:

  • Machine Learning and Data Classification
  • Advanced Database Systems and Queries
  • Data Stream Mining Techniques
  • Graph Theory and Algorithms
  • Semantic Web and Ontologies
  • Data Management and Algorithms
  • Explainable Artificial Intelligence (XAI)

Among their frequent coauthors were:

  • Radwa Elshawi
  • Radwa El Shawi
  • Emanuele Della Valle
  • Riccardo Tommasini
  • Angela Bonifati

Sakr's work was published multiple times in recognized venues, including:

  • Scientific Reports
  • arXiv (Cornell University)
  • Movebank
  • ACM Computing Surveys
  • 2022 IEEE International Conference on Data Mining Workshops (ICDMW)

Some of their recent papers included:

  • The future is big graphs, 2021, Communications of the ACM
  • Interpretability in healthcare: A comparative study of local machine learning interpretability techniques, 2020, Computational Intelligence
  • Graph Generators, 2020, ACM Computing Surveys
  • DLBench: a comprehensive experimental evaluation of deep learning frameworks, 2021, Cluster Computing
  • Exploiting time series of Sentinel-1 and Sentinel-2 to detect grassland mowing events using deep learning with reject region, 2022, Scientific Reports

In recognition of their professional contributions, Sakr was awarded the title of ACM Senior Member in 2017.

Best Publications

  • A Survey of Large Scale Data Management Approaches in Cloud Environments

    S. Sakr;A. Liu;D. M. Batista;M. Alomari

  • Predicting diabetes mellitus using SMOTE and ensemble machine learning approach: The Henry Ford ExercIse Testing (FIT) project

    Manal Alghamdi;Mouaz H Al-Mallah;Mouaz H Al-Mallah;Steven J Keteyian;Clinton Brawner

  • On the interpretability of machine learning-based model for predicting hypertension

    Radwa Elshawi;Mouaz H. Al-Mallah;Sherif Sakr

  • The family of mapreduce and large-scale data processing systems

    Sherif Sakr;Anna Liu;Ayman G. Fayoumi

  • Graph query processing using plurality of engines

    Sameh Elnikety;Yuxiong He;Sherif Sakr

  • Towards a Comprehensive Data Analytics Framework for Smart Healthcare Services

    Sherif Sakr;Amal Elgammal

  • XQuery on SQL hosts

    Torsten Grust;Sherif Sakr;Jens Teubner

  • Relational processing of RDF queries: a survey

    Sherif Sakr;Ghazi Al-Naymat

  • Interpretability in healthcare: A comparative study of local machine learning interpretability techniques

    Radwa ElShawi;Youssef Sherif;Mouaz Al‐Mallah;Sherif Sakr

  • Predictors of in-hospital length of stay among cardiac patients: A machine learning approach

    Tahani A. Daghistani;Radwa Elshawi;Sherif Sakr;Sherif Sakr;Amjad M. Ahmed

  • Automated Machine Learning: State-of-The-Art and Open Challenges.

    Radwa El Shawi;Mohamed Maher;Sherif Sakr

  • The future is big graphs: a community view on graph processing systems

    Sherif Sakr;Angela Bonifati;Hannes Voigt;Alexandru Iosup

  • Big Data Systems Meet Machine Learning Challenges: Towards Big Data Science as a Service

    Radwa Elshawi;Radwa Elshawi;Sherif Sakr;Sherif Sakr;Domenico Talia;Paolo Trunfio

  • XML compression techniques: A survey and comparison

    Sherif Sakr

  • DREAM: distributed RDF engine with adaptive query planner and minimal communication

    Mohammad Hammoud;Dania Abed Rabbou;Reza Nouri;Seyed-Mehdi-Reza Beheshti

  • Large scale graph processing systems: survey and an experimental evaluation

    Omar Batarfi;Radwa El Shawi;Ayman G. Fayoumi;Reza Nouri

  • Using machine learning on cardiorespiratory fitness data for predicting hypertension: The Henry Ford ExercIse Testing (FIT) Project.

    Sherif Sakr;Radwa Elshawi;Amjad Ahmed;Waqas T Qureshi

  • A query language for analyzing business processes execution

    Seyed-Mehdi-Reza Beheshti;Boualem Benatallah;Hamid Reza Motahari-Nezhad;Sherif Sakr

  • On understanding the economics and elasticity challenges of deploying business applications on public cloud infrastructure

    Basem Suleiman;Basem Suleiman;Sherif Sakr;Sherif Sakr;D. Ross Jeffery;D. Ross Jeffery;Anna Liu;Anna Liu

  • Handbook of Big Data Technologies

    Albert Y. Zomaya;Sherif Sakr

  • A framework for querying graph-based business process models

    Sherif Sakr;Ahmed Awad

Frequent Co-Authors

Mouaz H. Al-Mallah
Mouaz H. Al-Mallah Houston Methodist
Liming Zhu
Liming Zhu Commonwealth Scientific and Industrial Research Organisation
Michael J. Blaha
Michael J. Blaha Johns Hopkins University
Boualem Benatallah
Boualem Benatallah Dublin City University
Athman Bouguettaya
Athman Bouguettaya University of Sydney
Zakaria Maamar
Zakaria Maamar University of Doha for Science and Technology
Angela Bonifati
Angela Bonifati Claude Bernard University Lyon 1
Sameh Elnikety
Sameh Elnikety Microsoft (United States)
Salim S. Virani
Salim S. Virani Baylor College of Medicine
Albert Y. Zomaya
Albert Y. Zomaya University of Sydney

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