World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
49
Citations
11641
World Ranking
5814
National Ranking
2645

Daniel Barbará 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 Daniel Barbará 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: 152 publications — 28th percentile

28% of scientists in this discipline score the same or lower.

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

Daniel Barbará 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 Daniel Barbará 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: 49 D-Index — 60th percentile

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

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

Overview

Daniel Barbará is affiliated with George Mason University in the United States. Their research spans multiple fields including Computer Science and Biochemistry, Genetics and Molecular Biology, with a significant focus on Molecular Biology, Artificial Intelligence, Signal Processing, Social Psychology, and Information Systems.

Their work engages with a range of interdisciplinary topics, which include:

  • Machine Learning in Bioinformatics
  • Human-Automation Interaction and Safety
  • User Authentication and Security Systems
  • Cognitive Functions and Memory
  • Protein Structure and Dynamics
  • Computational Drug Discovery Methods
  • Antimicrobial Peptides and Activities

Barbará's recent publications reflect this diversity of interests. Key papers include:

  • "Anomaly Detection-Based Recognition of Near-Native Protein Structures" (2020), published in IEEE Transactions on NanoBioscience
  • "Exploring Deep Neural Network Architectures: A Case Study on Improving Antimicrobial Peptide Recognition" (2020), featured in EPiC series in computing
  • "Multiple Instance Learning for Detecting Anomalies over Sequential Real-World Datasets" (2022), appearing on arXiv (Cornell University)
  • "Usage of an AI-Based Password Tool: Impacts of Security Fatigue, Age, and Individual Differences" (2024), presented in the Proceedings of the Human Factors and Ergonomics Society Annual Meeting
  • "Detecting Code Injections in Noisy Environments Through EM Signal Analysis and SVD Denoising" (2022), also available on arXiv (Cornell University)

Their frequent publication venues illuminate areas of ongoing research activity and dissemination:

  • arXiv (Cornell University)
  • Proceedings of the Human Factors and Ergonomics Society Annual Meeting
  • IEEE Transactions on NanoBioscience
  • EPiC series in computing

Collaboration has been a part of Barbará's research process, involving work with several co-authors on multiple occasions. Notable collaborators include:

  • Amarda Shehu
  • Gerald Matthews
  • Giuseppe Ateniese
  • Shawn C. Thayer
  • Nicholas C. Leskovec

Best Publications

  • How to assign votes in a distributed system

    Hector Garcia-Molina;Daniel Barbara

  • Mobile computing and databases-a survey

    D. Barbara

  • Sleepers and workaholics: caching strategies in mobile environments

    Daniel Barbará;Tomasz Imieliński

  • The management of probabilistic data

    D. Barbara;H. Garcia-Molina;D. Porter

  • On-line LDA: Adaptive Topic Models for Mining Text Streams with Applications to Topic Detection and Tracking

    L. AlSumait;D. Barbara;C. Domeniconi

  • COOLCAT: an entropy-based algorithm for categorical clustering

    Daniel Barbará;Yi Li;Julia Couto

  • Data caching issues in an information retrieval system

    Rafael Alonso;Daniel Barbara;Hector Garcia-Molina

  • DETECTING NOVEL NETWORK INTRUSIONS USING BAYES ESTIMATORS

    Daniel Barbará;Ningning Wu;Sushil Jajodia

  • The New Jersey Data Reduction Report.

    Daniel Barbará;William DuMouchel;Christos Faloutsos;Peter J. Haas

  • ADAM: a testbed for exploring the use of data mining in intrusion detection

    Daniel Barbará;Julia Couto;Sushil Jajodia;Ningning Wu

  • Sleepers and workaholics: caching strategies in mobile environments (extended version)

    Daniel Barbará;Tomasz Imieliński

  • Audio-based wide area information system

    Daniel Barbara;Shamin A. Naqvi

  • Requirements for clustering data streams

    Daniel Barbará

  • Preserving QoS of e-commerce sites through self-tuning: a performance model approach

    Daniel A. Menascé;Daniel Barbará;Ronald Dodge

  • Using the fractal dimension to cluster datasets

    Daniel Barbará;Ping Chen

  • Topic Significance Ranking of LDA Generative Models

    Loulwah Alsumait;Daniel Barbará;James Gentle;Carlotta Domeniconi

  • Applications of Data Mining in Computer Security

    Daniel Barbara;Sushil Jajodia

  • Trie structure based method and apparatus for indexing and searching handwritten databases with dynamic search sequencing

    Walid Aref;Daniel Barbara

  • INCAs: Managing Dynamic Workflows in Distributed Environments

    Daniel Barbara;Sharad Mehrotra;Marek Rusinkiewicz

  • Proceedings of the Third SIAM International Conference on Data Mining, San Francisco, CA, USA, May 1-3, 2003

    Unknown

  • Sleepers and Workaholics: Caching Strategies in Mobile Environments

    Daniel Barbará;Tomasz Imielinski

Frequent Co-Authors

Hector Garcia-Molina
Hector Garcia-Molina Stanford University
Carlotta Domeniconi
Carlotta Domeniconi George Mason University
Sushil Jajodia
Sushil Jajodia George Mason University
Angelos Stavrou
Angelos Stavrou Virginia Tech
Walid G. Aref
Walid G. Aref Purdue University West Lafayette
Sharad Mehrotra
Sharad Mehrotra University of California, Irvine
Ben Kao
Ben Kao University of Hong Kong
Daniel A. Menascé
Daniel A. Menascé George Mason University
Tomasz Imielinski
Tomasz Imielinski Rutgers, The State University of New Jersey
Richard J. Lipton
Richard J. Lipton Georgia Institute of Technology

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