World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
39
Citations
6016
World Ranking
9805
National Ranking
4132

Ashraf Aboulnaga 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 Ashraf Aboulnaga 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: 104 publications — 10th percentile

10% of scientists in this discipline score the same or lower.

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

Ashraf Aboulnaga 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 Ashraf Aboulnaga 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: 39 D-Index — 33rd percentile

33% 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

  • 2015 - ACM Distinguished Member
  • 2009 - ACM Senior Member

Overview

Ashraf Aboulnaga is affiliated with the Qatar Computing Research Institute in Qatar. Their research contributions span a range of topics within computer science with a focus on cloud computing, advanced database systems, data management, and graph neural networks.

Their work has been published in leading venues such as:

  • The VLDB Journal
  • Proceedings of the VLDB Endowment
  • Communications of the ACM
  • arXiv (Cornell University)
  • 2022 IEEE 38th International Conference on Data Engineering (ICDE)

Aboulnaga's research fields include:

  • Computer Networks and Communications
  • Artificial Intelligence
  • Information Systems
  • Management Science and Operations Research
  • Signal Processing

They have contributed to main topics such as:

  • Cloud Computing and Resource Management
  • Advanced Database Systems and Queries
  • Data Quality and Management
  • Advanced Graph Neural Networks
  • Caching and Content Delivery
  • Advanced Data Storage Technologies
  • Semantic Web and Ontologies

Some of their recent publications include:

  • FlexPushdownDB, 2021, Proceedings of the VLDB Endowment
  • RDFFrames, 2020, Proceedings of the VLDB Endowment
  • FlexpushdownDB: rethinking computation pushdown for cloud OLAP DBMSs, 2024, The VLDB Journal
  • Accelerating Entity Lookups in Knowledge Graphs Through Embeddings, 2022, 2022 IEEE 38th International Conference on Data Engineering (ICDE)
  • Link Prediction via Higher-Order Motif Features, 2020, Lecture Notes in Computer Science

Frequent collaborators in their research include:

  • Xiangyao Yu
  • Marco Serafini
  • Michael Stonebraker
  • Ghadeer Abuoda
  • Yifei Yang

Aboulnaga has been recognized as an ACM Distinguished Member since 2015 and held the ACM Senior Member status since 2009.

Best Publications

  • CORDS: automatic discovery of correlations and soft functional dependencies

    Ihab F. Ilyas;Volker Markl;Peter Haas;Paul Brown

  • Self-tuning histograms: building histograms without looking at data

    Ashraf Aboulnaga;Surajit Chaudhuri

  • Estimating the Selectivity of XML Path Expressions for Internet Scale Applications

    Ashraf Aboulnaga;Alaa R. Alameldeen;Jeffrey F. Naughton

  • The Niagara Internet Query System.

    Jeffrey F. Naughton;David J. DeWitt;David Maier;Ashraf Aboulnaga

  • Automatic virtual machine configuration for database workloads

    Ahmed A. Soror;Umar Farooq Minhas;Ashraf Aboulnaga;Kenneth Salem

  • Arabesque: a system for distributed graph mining

    Carlos H. C. Teixeira;Alexandre J. Fonseca;Marco Serafini;Georgos Siganos

  • Automatic virtual machine configuration for database workloads

    Ahmed A. Soror;Umar Farooq Minhas;Ashraf Aboulnaga;Kenneth Salem

  • A Demonstration of the Solid Platform for Social Web Applications

    Essam Mansour;Andrei Vlad Sambra;Sandro Hawke;Maged Zereba

  • E-store: fine-grained elastic partitioning for distributed transaction processing systems

    Rebecca Taft;Essam Mansour;Marco Serafini;Jennie Duggan

  • ReStore: reusing results of MapReduce jobs

    Iman Elghandour;Ashraf Aboulnaga

  • Query optimization by sub-plan memoization

    Surajit Chaudhuri;Ashraf I. Aboulnaga

  • Deploying Database Appliances in the Cloud

    Ashraf Aboulnaga;Kenneth Salem;Ahmed A. Soror;Umar Farooq Minhas

  • NoSE: Schema Design for NoSQL Applications

    Michael Joseph Mior;Kenneth Salem;Ashraf Aboulnaga;Rui Liu

  • Scalable maximum clique computation using MapReduce

    Jingen Xiang;Cong Guo;A. Aboulnaga

  • Clay: fine-grained adaptive partitioning for general database schemas

    Marco Serafini;Rebecca Taft;Aaron J. Elmore;Andrew Pavlo

  • RemusDB: transparent high availability for database systems

    Umar Farooq Minhas;Shriram Rajagopalan;Brendan Cully;Ashraf Aboulnaga

  • Accurate estimation of the cost of spatial selections

    A. Aboulnaga;J.F. Naughton

  • NoSE: Schema design for NoSQL applications

    Michael J. Mior;Kenneth Salem;Ashraf Aboulnaga;Rui Liu

  • Q-Cop: Avoiding bad query mixes to minimize client timeouts under heavy loads

    Sean Tozer;Tim Brecht;Ashraf Aboulnaga

  • Self-tuning histogram and database modeling

    Ashraf Aboulnaga;Surajit Chaudhuri

  • XSEED: Accurate and Fast Cardinality Estimation for XPath Queries

    Ning Zhang;M.T. Ozsu;A. Aboulnaga;I.F. Ilyas

  • ReStore: Reusing results of MapReduce jobs

    Ashraf Aboulnaga;Ashraf Aboulnaga;Iman Elghandour;Iman Elghandour

Frequent Co-Authors

Kenneth Salem
Kenneth Salem University of Waterloo
Shivnath Babu
Shivnath Babu Duke University
Jeffrey F. Naughton
Jeffrey F. Naughton University of Wisconsin–Madison
Peter J. Haas
Peter J. Haas University of Massachusetts Amherst
Volker Markl
Volker Markl Technical University of Berlin
Ihab F. Ilyas
Ihab F. Ilyas University of Waterloo
Surajit Chaudhuri
Surajit Chaudhuri Microsoft (United States)
Mohammed J. Zaki
Mohammed J. Zaki Rensselaer Polytechnic Institute
Panos Kalnis
Panos Kalnis King Abdullah University of Science and Technology

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