World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
40
Citations
8562
World Ranking
9172
National Ranking
3903

Jennifer Neville 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 Jennifer Neville 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: 162 publications — 32nd percentile

32% of scientists in this discipline score the same or lower.

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

Jennifer Neville 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 Jennifer Neville 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.

Overview

Jennifer Neville is affiliated with Purdue University West Lafayette in the United States. Their research expertise lies primarily in computer science, with a focus on artificial intelligence, statistical and nonlinear physics, classics, information systems, and molecular biology.

The scientist has published extensively in the field of artificial intelligence and related areas, with particular emphasis on graph neural networks, topic modeling, natural language processing, complex network analysis, medieval literature and history, speech and dialogue systems, and semantic web and ontologies.

  • Topic Modeling
  • Advanced Graph Neural Networks
  • Natural Language Processing Techniques
  • Complex Network Analysis Techniques
  • Medieval Literature and History
  • Speech and dialogue systems
  • Semantic Web and Ontologies

Jennifer Neville has been actively publishing research articles in various venues, including:

  • arXiv (Cornell University)
  • Proceedings of the International AAAI Conference on Web and Social Media
  • Neural Networks
  • Companion Proceedings of the Web Conference 2020
  • Computer

Among the recent papers authored or co-authored are:

  • "Adversarial Graph Augmentation to Improve Graph Contrastive Learning" (2021), published in arXiv (Cornell University)
  • "Methods to Determine Node Centrality and Clustering in Graphs with Uncertain Structure" (2021), published in Proceedings of the International AAAI Conference on Web and Social Media
  • "Network Sampling Designs for Relational Classification" (2021), published in Proceedings of the International AAAI Conference on Web and Social Media
  • "Using Large Language Models to Generate, Validate, and Apply User Intent Taxonomies" (2023), published in arXiv (Cornell University)
  • "Dynamic Network Modeling from Motif-Activity" (2020), published in Companion Proceedings of the Web Conference 2020

Frequent collaborators include Mengting Wan, Tara Safavi, Longqi Yang, Megan Cavell, and Reid Andersen.

Best Publications

  • Modeling relationship strength in online social networks

    Rongjing Xiang;Jennifer Neville;Monica Rogati

  • Iterative Classification in Relational Data

    Jennifer Neville;David Jensen

  • Relational Dependency Networks

    Jennifer Neville;David Jensen

  • Why collective inference improves relational classification

    David Jensen;Jennifer Neville;Brian Gallagher

  • Structured comparative analysis of systems logs to diagnose performance problems

    Karthik Nagaraj;Charles Killian;Jennifer Neville

  • Learning relational probability trees

    Jennifer Neville;David Jensen;Lisa Friedland;Michael Hay

  • Using Transactional Information to Predict Link Strength in Online Social Networks

    Indika Kahanda;Jennifer Neville

  • Randomization tests for distinguishing social influence and homophily effects

    Timothy La Fond;Jennifer Neville

  • 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

  • Linkage and Autocorrelation Cause Feature Selection Bias in Relational Learning

    David Jensen;Jennifer Neville

  • Modeling dynamic behavior in large evolving graphs

    Ryan A. Rossi;Brian Gallagher;Jennifer Neville;Keith Henderson

  • ERACER: a database approach for statistical inference and data cleaning

    Chris Mayfield;Jennifer Neville;Sunil Prabhakar

  • Guided data repair

    Mohamed Yakout;Ahmed K. Elmagarmid;Jennifer Neville;Mourad Ouzzani

  • Leveraging relational autocorrelation with latent group models

    Jennifer Neville;David Jensen

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

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

  • Using relational knowledge discovery to prevent securities fraud

    Jennifer Neville;Özgür Şimşek;David Jensen;John Komoroske

  • Simple estimators for relational Bayesian classifiers

    J. Neville;D. Jensen;B. Gallagher

  • Temporal-Relational Classifiers for Prediction in Evolving Domains

    U. Sharan;J. Neville

  • Attributed graph models: modeling network structure with correlated attributes

    Joseph J. Pfeiffer;Sebastian Moreno;Timothy La Fond;Jennifer Neville

  • Proceedings of the Ninth ACM International Conference on Web Search and Data Mining

    Paul N. Bennett;Vanja Josifovski;Jennifer Neville;Filip Radlinski

Frequent Co-Authors

David Jensen
David Jensen University of Massachusetts Amherst
Nesreen K. Ahmed
Nesreen K. Ahmed Intel (United States)
Paul N. Bennett
Paul N. Bennett Microsoft (United States)
Nick Duffield
Nick Duffield Texas A&M University
Sunil Prabhakar
Sunil Prabhakar Purdue University West Lafayette
Ahmed K. Elmagarmid
Ahmed K. Elmagarmid Qatar Computing Research Institute
Gabriel Ghinita
Gabriel Ghinita Hamad bin Khalifa University
Mourad Ouzzani
Mourad Ouzzani Qatar Computing Research Institute
Tina Eliassi-Rad
Tina Eliassi-Rad Northeastern University

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