World's Best Scientists 2026 revealed!
Slobodan Vucetic

Slobodan Vucetic

D-Index & Metrics

Computer Science

D-Index
39
Citations
11052
World Ranking
9528
National Ranking
4038

Slobodan Vucetic 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 Slobodan Vucetic 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: 149 publications — 26th percentile

26% of scientists in this discipline score the same or lower.

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

Slobodan Vucetic 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 Slobodan Vucetic 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.

Overview

Slobodan Vucetic is affiliated with Temple University in the United States and has contributed extensively to the field of Computer Science, with a particular focus on Artificial Intelligence. Their research spans related subfields including Genetics, Oncology, Molecular Biology, and Cognitive Neuroscience.

Their recent papers cover a range of interdisciplinary topics and were published in various academic venues. Notable publications include:

  • "The generative capacity of probabilistic protein sequence models," 2021, Nature Communications
  • "Sparse Principal Component Analysis with Constraints," 2021, Proceedings of the AAAI Conference on Artificial Intelligence
  • "Socioeconomic Disparities in Colon Cancer Survival," 2020, Epidemiology
  • "Convex Kernelized Sorting," 2021, Proceedings of the AAAI Conference on Artificial Intelligence
  • "Multifaceted analysis of training and testing convolutional neural networks for protein secondary structure prediction," 2020, PLoS ONE

Commonly explored topics in Vucetic's research include:

  • Autism Spectrum Disorder Research
  • Topic Modeling
  • Global Cancer Incidence and Screening
  • Assistive Technology in Communication and Mobility
  • Anomaly Detection Techniques and Applications
  • Biomedical Text Mining and Ontologies
  • Natural Language Processing Techniques

Frequent collaborators include Eduard Dragut, Aniruddha Maiti, Elizabeth Garrison, Daniel Wiese, and Antoinette M. Stroup.

Research outputs have been disseminated in a variety of publication venues. The most frequent include:

  • arXiv (Cornell University)
  • SSRN Electronic Journal
  • Nature Communications
  • Proceedings of the AAAI Conference on Artificial Intelligence
  • BMC Medical Informatics and Decision Making

Vucetic's work integrates computational methods with biomedical and cancer research, reflecting a multidisciplinary approach that bridges artificial intelligence techniques with genetics and oncology. This cross-domain expertise positions their contributions at the intersection of technology and health sciences.

Best Publications

  • A large-scale evaluation of computational protein function prediction

    Predrag Radivojac;Wyatt T Clark;Tal Ronnen Oron;Alexandra M Schnoes

  • Length-dependent prediction of protein intrinsic disorder

    Kang Peng;Predrag Radivojac;Slobodan Vucetic;A Keith Dunker

  • Functional anthology of intrinsic disorder. 1. Biological processes and functions of proteins with long disordered regions.

    Hongbo Xie;Slobodan Vucetic;Lilia M. Iakoucheva;Christopher J. Oldfield

  • Exploiting heterogeneous sequence properties improves prediction of protein disorder.

    Zoran Obradovic;Kang Peng;Slobodan Vucetic;Predrag Radivojac

  • Optimizing long intrinsic disorder predictors with protein evolutionary information.

    Kang Peng;Slobodan Vucetic;Predrag Radivojac;Celeste J. Brown

  • Predicting Intrinsic Disorder From Amino Acid Sequence

    Zoran Obradovic;Kang Peng;Slobodan Vucetic;Predrag Radivojac

  • An expanded evaluation of protein function prediction methods shows an improvement in accuracy

    Yuxiang Jiang;Tal Ronnen Oron;Wyatt T. Clark;Asma R. Bankapur

  • The CAFA challenge reports improved protein function prediction and new functional annotations for hundreds of genes through experimental screens

    Naihui Zhou;Yuxiang Jiang;Timothy R. Bergquist;Alexandra J. Lee

  • Functional Anthology of Intrinsic Disorder. 3. Ligands, Post-Translational Modifications, and Diseases Associated with Intrinsically Disordered Proteins

    Hongbo Xie;Slobodan Vucetic;Lilia M. Iakoucheva;Christopher J. Oldfield

  • Functional anthology of intrinsic disorder. 2. Cellular components, domains, technical terms, developmental processes, and coding sequence diversities correlated with long disordered regions.

    Slobodan Vucetic;Hongbo Xie;Lilia M. Iakoucheva;Christopher J. Oldfield

  • Unfoldomics of human diseases: linking protein intrinsic disorder with diseases

    Vladimir N Uversky;Vladimir N Uversky;Christopher J Oldfield;Uros Midic;Hongbo Xie

  • An expanded evaluation of protein function prediction methods shows an improvement in accuracy

    Yuxiang Jiang;Tal Ronnen Oron;Wyatt T Clark;Asma R Bankapur

  • DisProt: a database of protein disorder

    Slobodan Vucetic;Zoran Obradovic;Vladimir Vacic;Predrag Radivojac

  • Breaking the curse of kernelization: budgeted stochastic gradient descent for large-scale SVM training

    Zhuang Wang;Koby Crammer;Slobodan Vucetic

  • Interpretable Representation Learning for Healthcare via Capturing Disease Progression through Time

    Tian Bai;Shanshan Zhang;Brian L. Egleston;Slobodan Vucetic

  • Collaborative Filtering Using a Regression-Based Approach

    Slobodan Vucetic;Zoran Obradovic

  • Calmodulin signaling: Analysis and prediction of a disorder-dependent molecular recognition

    Predrag Radivojac;Slobodan Vucetic;Timothy R. O'Connor;Vladimir N. Uversky

  • Systems and methods for knowledge discovery in spatial data

    Zoran Obradovic;Timothy E. Fiez;Slobodan Vucetic;Aleksandar Lazarevic

  • Continuous Conditional Random Fields for Regression in Remote Sensing

    Vladan Radosavljevic;Slobodan Vucetic;Zoran Obradovic

  • MS-kNN: Protein function prediction by integrating multiple data sources

    Liang Lan;Nemanja Djuric;Yuhong Guo;Slobodan Vucetic

  • Additional file 1 of An expanded evaluation of protein function prediction methods shows an improvement in accuracy

    Yuxiang Jiang;Tal Ronnen Oron;Wyatt T. Clark;Asma R. Bankapur

Frequent Co-Authors

Zoran Obradovic
Zoran Obradovic Temple University
Predrag Radivojac
Predrag Radivojac Northeastern University
A. Keith Dunker
A. Keith Dunker Indiana University
Christophe Dessimoz
Christophe Dessimoz University College London
Tapio Salakoski
Tapio Salakoski University of Turku
Daisuke Kihara
Daisuke Kihara Purdue University West Lafayette
David T. Jones
David T. Jones University College London
Celeste J. Brown
Celeste J. Brown University of Idaho
Steven E. Brenner
Steven E. Brenner University of California, Berkeley
Burkhard Rost
Burkhard Rost Technical University of Munich

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