World's Best Scientists 2026 revealed!
Dimitris K. Agrafiotis

Dimitris K. Agrafiotis

D-Index & Metrics

Computer Science

D-Index
41
Citations
6768
World Ranking
8877
National Ranking
3780

Dimitris K. Agrafiotis 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 Dimitris K. Agrafiotis 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: 101 publications — 9th percentile

9% of scientists in this discipline score the same or lower.

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

Dimitris K. Agrafiotis 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 Dimitris K. Agrafiotis 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: 41 D-Index — 40th percentile

40% of scientists in this discipline score the same or lower.

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

Overview

Dimitris K. Agrafiotis is affiliated with Princeton University in the United States. Their research spans multiple intersecting fields including molecular biology, computational theory and mathematics, biomedical engineering, materials chemistry, and rehabilitation.

The scientist's recent published works include the following papers:

  • "QSAR without borders," 2020, Chemical Society Reviews
  • "Accurate prediction of clinical stroke scales and improved biomarkers of motor impairment from robotic measurements," 2021, PLoS ONE
  • "Correction: QSAR without borders," 2020, Chemical Society Reviews
  • "Xcellerate Investigator Portal: A New Web-Based Tool for Online Delivery of Central Laboratory Data, Reports, and Communications to Clinical Sites," 2020, SLAS TECHNOLOGY
  • "QSAR without borders," 2024, UNC Libraries

Their work covers a diverse range of topics, with emphasis on computational drug discovery methods, machine learning applications in both materials science and bioinformatics, stroke rehabilitation and recovery, acute ischemic stroke management, muscle activation studies using electromyography, and scientific computing and data management.

Dimitris K. Agrafiotis frequently collaborates with several researchers in their field. The most common coauthors include:

  • Jürgen Bajorath
  • Eugene Muratov
  • Robert P. Sheridan
  • Igor V. Tetko
  • Dmitry Filimonov

Their research has appeared primarily in the following publication venues:

  • Chemical Society Reviews
  • PLoS ONE
  • SLAS TECHNOLOGY
  • UNC Libraries
  • Journal of Computer-Aided Molecular Design

Best Publications

  • QSAR without borders

    Eugene N. Muratov;Eugene N. Muratov;Jürgen Bajorath;Robert P. Sheridan;Igor V. Tetko

  • Recognizing Pitfalls in Virtual Screening: A Critical Review

    Thomas Scior;Andreas Bender;Gary Tresadern;José L. Medina-Franco

  • System and method of automatically generating chemical compounds with desired properties

    Dimitris K. Agrafiotis;Roger F. Bone;Francis R. Salemme;Richard M. Soll

  • Feature selection for structure-activity correlation using binary particle swarms.

    Dimitris K. Agrafiotis;Walter Cedeno

  • Method of generating chemical compounds having desired properties

    Dimitris K. Agrafiotis;Roger F. Bone;Francis R. Salemme;Richard M. Soll

  • Method, system, and computer program for displaying chemical data

    Dimitris K Agrafiotis;Victor S Lobanov;Francis R Salemme

  • Stochastic proximity embedding

    Dimitris K. Agrafiotis

  • On the use of neural network ensembles in QSAR and QSPR.

    Dimitris K. Agrafiotis;Walter Cedeño;Victor S. Lobanov

  • Stochastic Algorithms for Maximizing Molecular Diversity

    Dimitris K. Agrafiotis

  • Multiobjective optimization of combinatorial libraries.

    Dimitris K. Agrafiotis

  • Robotic Measurement of Arm Movements After Stroke Establishes Biomarkers of Motor Recovery

    Hermano I. Krebs;Michael Krams;Dimitris K. Agrafiotis;Allitia DiBernardo

  • Combinatorial informatics in the post-genomics era

    Dimitris K. Agrafiotis;Victor S. Lobanov;F. Raymond Salemme

  • Fast determination of the optimal rotational matrix for macromolecular superpositions

    Pu Liu;Dimitris K. Agrafiotis;Douglas L. Theobald

  • METHOD FOR MAPPING OF MULTI-DIMENSIONAL DATA

    Agrafiotis Dimitris K;Lobanov Victor S;Salemme Francis R

  • A self-organizing principle for learning nonlinear manifolds

    Dimitris K. Agrafiotis;Huafeng Xu

  • SAR maps: a new SAR visualization technique for medicinal chemists.

    Dimitris K. Agrafiotis;Maxim Shemanarev;Peter J. Connolly;Michael Farnum

  • Conformational Sampling of Bioactive Molecules: A Comparative Study

    Dimitris K. Agrafiotis;Alan C. Gibbs;Fangqiang Zhu;Sergei Izrailev

  • ADVANCES IN DIVERSITY PROFILING AND COMBINATORIAL SERIES DESIGN

    Dimitris K. Agrafiotis;James C. Myslik;F. Raymond Salemme

  • Multidimensional scaling and visualization of large molecular similarity tables

    Dimitris K. Agrafiotis;Dmitrii N. Rassokhin;Victor S. Lobanov

  • A QSAR model of HERG binding using a large, diverse, and internally consistent training set.

    Mark Seierstad;Dimitris K. Agrafiotis

Frequent Co-Authors

Henry S. Rzepa
Henry S. Rzepa Imperial College London
Alexandre Varnek
Alexandre Varnek University of Strasbourg
Eugene N. Muratov
Eugene N. Muratov University of North Carolina at Chapel Hill
Alexander Tropsha
Alexander Tropsha University of North Carolina at Chapel Hill
Yoram Cohen
Yoram Cohen University of California, Los Angeles
David A. Winkler
David A. Winkler La Trobe University
Olexandr Isayev
Olexandr Isayev Carnegie Mellon University
Jürgen Bajorath
Jürgen Bajorath University of Bonn
Alán Aspuru-Guzik
Alán Aspuru-Guzik University of Toronto
Stefano Curtarolo
Stefano Curtarolo Duke University

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