World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
33
Citations
8152
World Ranking
12407
National Ranking
5032

Nesreen K. Ahmed 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 Nesreen K. Ahmed 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: 119 publications — 14th percentile

14% of scientists in this discipline score the same or lower.

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

Nesreen K. Ahmed 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 Nesreen K. Ahmed 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: 33 D-Index — 13th percentile

13% of scientists in this discipline score the same or lower.

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

Overview

Nesreen K. Ahmed is affiliated with Intel in the United States and has a significant body of research primarily in the field of Computer Science. Their work spans various subfields, with a strong focus on Artificial Intelligence, Statistical and Nonlinear Physics, Computer Vision and Pattern Recognition, Information Systems, and Electrical and Electronic Engineering.

Their research contributions are notably concentrated on topics including Advanced Graph Neural Networks, Complex Network Analysis Techniques, Topic Modeling, Natural Language Processing Techniques, Data Visualization and Analytics, Parallel Computing and Optimization Techniques, and Software Engineering Research.

Recent published papers by Nesreen K. Ahmed include:

  • Bias and Fairness in Large Language Models: A Survey (2024, Computational Linguistics)
  • Graph Neural Networks with Heterophily (2021, Proceedings of the AAAI Conference on Artificial Intelligence)
  • Role-Based Graph Embeddings (2020, IEEE Transactions on Knowledge and Data Engineering)
  • Deep graph similarity learning: a survey (2021, Data Mining and Knowledge Discovery)
  • On Proximity and Structural Role-based Embeddings in Networks (2020, ACM Transactions on Knowledge Discovery from Data)

Nesreen K. Ahmed has published extensively in venues such as arXiv (Cornell University), IEEE Transactions on Neural Networks and Learning Systems, ACM Transactions on Knowledge Discovery from Data, Companion Proceedings of the Web Conference 2020, and Zenodo (CERN European Organization for Nuclear Research).

Frequent collaborators include Ryan A. Rossi, Franck Dernoncourt, Sungchul Kim, Theodore L. Willke, and Namyong Park, reflecting a network of partnerships within their research community.

Best Publications

  • The network data repository with interactive graph analytics and visualization

    Ryan A. Rossi;Nesreen K. Ahmed

  • An empirical comparison of machine learning models for time series forecasting

    Nesreen K. Ahmed;Amir F. Atiya;Neamat El Gayar;Hisham El-Shishiny

  • Continuous-Time Dynamic Network Embeddings

    Giang Hoang Nguyen;John Boaz Lee;Ryan A. Rossi;Nesreen K. Ahmed

  • Bias and Fairness in Large Language Models: A Survey

    Unknown

  • Attention Models in Graphs: A Survey

    John Boaz Lee;Ryan A. Rossi;Sungchul Kim;Nesreen K. Ahmed

  • Efficient Graphlet Counting for Large Networks

    Nesreen K. Ahmed;Jennifer Neville;Ryan A. Rossi;Nick Duffield

  • Network Sampling: From Static to Streaming Graphs

    Nesreen K. Ahmed;Jennifer Neville;Ramana Kompella

  • Role Discovery in Networks

    Ryan A. Rossi;Nesreen K. Ahmed

  • Graph Neural Networks with Heterophily.

    Jiong Zhu;Ryan A. Rossi;Anup B. Rao;Tung Mai

  • Graph sample and hold: a framework for big-graph analytics

    Nesreen K. Ahmed;Nick Duffield;Jennifer Neville;Ramana Kompella

  • DistGNN: scalable distributed training for large-scale graph neural networks

    Vasimuddin;Sanchit Misra;Guixiang Ma;Ramanarayan Mohanty

  • Higher-order Network Representation Learning

    Ryan A. Rossi;Nesreen K. Ahmed;Eunyee Koh

  • Learning Role-based Graph Embeddings.

    Nesreen K. Ahmed;Ryan A. Rossi;John Boaz Lee;Xiangnan Kong

  • Graphlet decomposition: framework, algorithms, and applications

    Nesreen K. Ahmed;Jennifer Neville;Ryan A. Rossi;Nick G. Duffield

  • On sampling from massive graph streams

    Nesreen K. Ahmed;Nick Duffield;Theodore L. Willke;Ryan A. Rossi

  • Deep graph similarity learning: a survey

    Guixiang Ma;Nesreen K. Ahmed;Theodore L. Willke;Philip S. Yu

  • An Interactive Data Repository with Visual Analytics

    Ryan A. Rossi;Nesreen K. Ahmed

  • Deep Inductive Graph Representation Learning

    Ryan A. Rossi;Rong Zhou;Nesreen K. Ahmed

  • On Proximity and Structural Role-based Embeddings in Networks: Misconceptions, Techniques, and Applications

    Ryan A. Rossi;Di Jin;Sungchul Kim;Nesreen K. Ahmed

  • Role-based Graph Embeddings

    Nesreen Ahmed;Ryan Anthony Rossi;John Lee;Theodore Willke

  • Time-based sampling of social network activity graphs

    Nesreen K. Ahmed;Fredrick Berchmans;Jennifer Neville;Ramana Kompella

  • Network Sampling: Methods and Applications

    Mohammad Al Hasan;Nesreen K. Ahmed;Jennifer Neville

  • NeuroVectorizer: End-to-End Vectorization with Deep Reinforcement Learning

    Ameer Haj-Ali;Nesreen K. Ahmed;Ted Willke;Sophia Shao

Frequent Co-Authors

Nick Duffield
Nick Duffield Texas A&M University
Jennifer Neville
Jennifer Neville Purdue University West Lafayette
Xiangnan Kong
Xiangnan Kong Worcester Polytechnic Institute
Danai Koutra
Danai Koutra University of Michigan–Ann Arbor
Ion Stoica
Ion Stoica University of California, Berkeley
Philip S. Yu
Philip S. Yu University of Illinois at Chicago
Krste Asanovic
Krste Asanovic University of California, Berkeley
Michael W. Cole
Michael W. Cole Rutgers, The State University of New Jersey

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