World's Best Scientists 2026 revealed!

D-Index & Metrics

Biology and Biochemistry

D-Index
71
Citations
25494
World Ranking
6526
National Ranking
3037

Computer Science

D-Index
73
Citations
28773
World Ranking
1555
National Ranking
811

Lukasz Kurgan 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 Lukasz Kurgan 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: 254 publications — 64th percentile

64% of scientists in this discipline score the same or lower.

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

Lukasz Kurgan 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 Lukasz Kurgan 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: 73 D-Index — 89th percentile

89% of scientists in this discipline score the same or lower.

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

Research.com Recognitions

  • 2018 - Fellow of the Indian National Academy of Engineering (INAE)
  • 2012 - ACM Senior Member

Overview

Lukasz Kurgan is affiliated with Virginia Commonwealth University in the United States. Their primary field of research is in Biochemistry, Genetics, and Molecular Biology, with a total of 189 publications. Subfields of study include Molecular Biology, Materials Chemistry, Computational Theory and Mathematics, Spectroscopy, and Biomedical Engineering.

The scientist's research topics encompass areas such as Protein Structure and Dynamics, Machine Learning in Bioinformatics, RNA and protein synthesis mechanisms, Enzyme Structure and Function, Genomics and Phylogenetic Studies, Genetics, Bioinformatics, and Biomedical Research, and Bioinformatics and Genomic Networks.

Some of the recent publications by Lukasz Kurgan include:

  • Critical assessment of protein intrinsic disorder prediction, 2021, Nature Methods
  • flDPnn: Accurate intrinsic disorder prediction with putative propensities of disorder functions, 2021, Nature Communications
  • iLearnPlus: a comprehensive and automated machine-learning platform for nucleic acid and protein sequence analysis, prediction and visualization, 2021, Nucleic Acids Research
  • Attention convolutional neural network for accurate segmentation and quantification of lesions in ischemic stroke disease, 2020, Medical Image Analysis
  • DeepDISOBind: accurate prediction of RNA-, DNA- and protein-binding intrinsically disordered residues with deep multi-task learning, 2021, Briefings in Bioinformatics

Frequent co-authors of Lukasz Kurgan include:

  • Bi Zhao
  • Sushmita Basu
  • Gang Hu
  • Jiangning Song
  • Zhonghua Wu

The scientist regularly publishes in several venues such as Faculty Opinions - Post-Publication Peer Review of the Biomedical Literature, Methods in Molecular Biology, Computational and Structural Biotechnology Journal, Nucleic Acids Research, and Briefings in Bioinformatics.

Lukasz Kurgan has contributed to book publications, including a titled work published by World Scientific: Machine Learning in Bioinformatics of Protein Sequences (2022).

Awards conferred to the scientist include the Fellow of the Indian National Academy of Engineering (INAE) in 2018 and the ACM Senior Member designation in 2012.

Best Publications

  • Guidelines for the use and interpretation of assays for monitoring autophagy (4th edition)

    Daniel J. Klionsky;Amal Kamal Abdel-Aziz;Sara Abdelfatah;Mahmoud Abdellatif

  • Data Mining: A Knowledge Discovery Approach

    Krzysztof J. Cios;Witold Pedrycz;Roman W. Swiniarski;Lukasz Andrzej Kurgan

  • D2P2: database of disordered protein predictions

    Matt E. Oates;Pedro Romero;Takashi Ishida;Mohamed F. Ghalwash

  • Genetic learning of fuzzy cognitive maps

    Wojciech Stach;Lukasz Kurgan;Witold Pedrycz;Marek Reformat

  • CAIM discretization algorithm

    L.A. Kurgan;K.J. Cios

  • A survey of Knowledge Discovery and Data Mining process models

    Lukasz A. Kurgan;Petr Musilek

  • Impact of imputation of missing values on classification error for discrete data

    Alireza Farhangfar;Lukasz Kurgan;Jennifer Dy

  • Exceptionally abundant exceptions: comprehensive characterization of intrinsic disorder in all domains of life

    Zhenling Peng;Jing Yan;Xiao Fan;Marcin J. Mizianty

  • MoRFpred, a computational tool for sequence-based prediction and characterization of short disorder-to-order transitioning binding regions in proteins

    Fatemeh Miri Disfani;Wei-Lun Hsu;Marcin J. Mizianty;Christopher J. Oldfield

  • Knowledge discovery approach to automated cardiac SPECT diagnosis

    Lukasz A. Kurgan;Krzysztof J. Cios;Ryszard Tadeusiewicz;Marek Ogiela

  • A Novel Framework for Imputation of Missing Values in Databases

    A. Farhangfar;L.A. Kurgan;W. Pedrycz

  • flDPnn: Accurate intrinsic disorder prediction with putative propensities of disorder functions.

    Gang Hu;Akila Katuwawala;Kui Wang;Zhonghua Wu

  • SPINE X: Improving protein secondary structure prediction by multistep learning coupled with prediction of solvent accessible surface area and backbone torsion angles

    Eshel Faraggi;Tuo Zhang;Tuo Zhang;Yuedong Yang;Yuedong Yang;Lukasz A. Kurgan;Lukasz A. Kurgan

  • iLearnPlus: a comprehensive and automated machine-learning platform for nucleic acid and protein sequence analysis, prediction and visualization.

    Zhen Chen;Pei Zhao;Chen Li;Fuyi Li;Fuyi Li

  • Trends in Data Mining and Knowledge Discovery

    Krzysztof J. Cios;Krzysztof J. Cios;Lukasz A. Kurgan

  • DRNApred, fast sequence-based method that accurately predicts and discriminates DNA- and RNA-binding residues.

    Jing Yan;Lukasz Kurgan

  • Structural disorder in viral proteins.

    Bin Xue;David Blocquel;David Blocquel;Johnny Habchi;Johnny Habchi;Alexey V Uversky

  • Improved sequence-based prediction of disordered regions with multilayer fusion of multiple information sources

    Marcin J. Mizianty;Wojciech Stach;Ke Chen;Kanaka Durga Kedarisetti

  • Classifier ensembles for protein structural class prediction with varying homology.

    Kanaka Durga Kedarisetti;Lukasz Kurgan;Scott Dick

  • Prediction of protein structural class using novel evolutionary collocation-based sequence representation.

    Ke Chen;Lukasz A. Kurgan;Jishou Ruan

  • Prediction of structural classes for protein sequences and domains-Impact of prediction algorithms, sequence representation and homology, and test procedures on accuracy

    Lukasz A. Kurgan;Leila Homaeian

Frequent Co-Authors

Vladimir N. Uversky
Vladimir N. Uversky University of South Florida
Krzysztof J. Cios
Krzysztof J. Cios Virginia Commonwealth University
Witold Pedrycz
Witold Pedrycz University of Alberta
Hua Zhang
Hua Zhang City University of Hong Kong
A. Keith Dunker
A. Keith Dunker Indiana University
Yaoqi Zhou
Yaoqi Zhou Griffith University
Marek Michalak
Marek Michalak University of Alberta
Jiangning Song
Jiangning Song Monash University
Claudio Hetz
Claudio Hetz University of Chile
Christopher J. Oldfield
Christopher J. Oldfield Virginia Commonwealth University

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