World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
38
Citations
31926
World Ranking
9921
National Ranking
4168

Krzysztof J. Cios 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 Krzysztof J. Cios 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: 193 publications — 44th percentile

44% of scientists in this discipline score the same or lower.

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

Krzysztof J. Cios 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 Krzysztof J. Cios 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: 38 D-Index — 30th percentile

30% 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

  • 2020 - IEEE Fellow For contributions to data mining and machine learning
  • 2017 - Fellow of the Indian National Academy of Engineering (INAE)
  • Member of the European Academy of Sciences and Arts
  • Member of the European Academy of Sciences and Arts
  • Member of the European Academy of Sciences and Arts
  • Member of the European Academy of Sciences and Arts
  • Member of the European Academy of Sciences and Arts

Overview

Krzysztof J. Cios is affiliated with Virginia Commonwealth University in the United States and works primarily across the fields of Computer Science, Engineering, and Neuroscience. Their research spans topics such as Advanced Memory and Neural Computing, Neural dynamics and brain function, Ferroelectric and Negative Capacitance Devices, Biometric Identification and Security, Face recognition and analysis, Neural Networks and Reservoir Computing, and Digital Media Forensic Detection.

Their recent published papers include the following:

  • FASS: Face Anti-Spoofing System Using Image Quality Features and Deep Learning, 2023, Electronics
  • UFace: An Unsupervised Deep Learning Face Verification System, 2022, Electronics
  • Combining multi-label classifiers based on projections of the output space using Evolutionary algorithms, 2020, Knowledge-Based Systems
  • CRBA: A Competitive Rate-Based Algorithm Based on Competitive Spiking Neural Networks, 2021, Frontiers in Computational Neuroscience
  • MT-SNN: Spiking Neural Network that Enables Single-Tasking of Multiple Tasks, 2022, arXiv (Cornell University)

Cited publication venues that frequently feature their work include:

  • Electronics
  • Knowledge-Based Systems
  • Frontiers in Computational Neuroscience
  • arXiv (Cornell University)
  • 2022 29th IEEE International Conference on Electronics, Circuits and Systems (ICECS)

Frequent co-authors include Sebastián Ventura, Paolo G. Cachi, Enoch Solomon, Jose M. Moyano, and Eva Gibaja. Collaborative efforts with each of these individuals have resulted in multiple publications within the same research fields.

The scientist has been recognized with several awards, including being named an IEEE Fellow in 2020 for contributions to data mining and machine learning. They were also elected Fellow of the Indian National Academy of Engineering in 2017 and hold membership in the European Academy of Sciences and Arts.

Best Publications

  • Advances in neural information processing systems 7

    Krzysztof Cios;Mark Shields

  • Data Mining: A Knowledge Discovery Approach

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

  • Data Mining Methods for Knowledge Discovery

    K.J. Cios;W. Pedrycz;R.M. Swiniarsk

  • Uniqueness of medical data mining

    Krzysztof J. Cios;G. William Moore

  • CAIM discretization algorithm

    L.A. Kurgan;K.J. Cios

  • Impact of HbA1c Measurement on Hospital Readmission Rates: Analysis of 70,000 Clinical Database Patient Records

    Beata Strack;Jonathan P. DeShazo;Chris Gennings;Juan L. Olmo

  • Knowledge discovery approach to automated cardiac SPECT diagnosis

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

  • RNN-DBSCAN: A Density-Based Clustering Algorithm Using Reverse Nearest Neighbor Density Estimates

    Avory Bryant;Krzysztof Cios

  • Trends in Data Mining and Knowledge Discovery

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

  • Time series forecasting by combining RBF networks, certainty factors, and the Box-Jenkins model

    Donald K. Wedding;Krzysztof J. Cios

  • SCPRED: Accurate prediction of protein structural class for sequences of twilight-zone similarity with predicting sequences

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

  • Self-Organizing Feature Maps Identify Proteins Critical to Learning in a Mouse Model of Down Syndrome

    Clara Higuera;Katheleen J. Gardiner;Krzysztof J. Cios

  • Data Mining and Knowledge Discovery

    Krzysztof J. Cios;Witold Pedrycz;Roman W. Swiniarski

  • Review of ensembles of multi-label classifiers: Models, experimental study and prospects

    Jose M. Moyano;Eva L. Gibaja;Krzysztof J. Cios;Krzysztof J. Cios;Sebastián Ventura;Sebastián Ventura

  • A machine learning method for generation of a neural network architecture: a continuous ID3 algorithm

    K.J. Cios;N. Liu

  • From the guest editor medical data mining and knowledge discovery

    K.J. Cios

  • Improving sensitivity in shotgun proteomics using a peptide-centric database with reduced complexity: protease cleavage and SCX elution rules from data mining of MS/MS spectra.

    Chia-Yu Yen;Steve Russell;Alex M Mendoza;Karen Meyer-Arendt

  • A knowledge discovery approach to diagnosing myocardial perfusion

    K.J. Cios;A. Teresinska;S. Konieczna;J. Potocka

  • Continuous ID3 algorithm with fuzzy entropy measures

    K.J. Cios;L.M. Sztandera

  • Epileptic seizure detection.

    Ronald Schuyler;Andrew White;Kevin Staley;Krzysztof J Cios

  • Discretization Algorithm that Uses Class-Attribute Interdependence Maximization

    Krzysztof Cios

  • The handbook of brain theory and neural networks

    Krzysztof J. Cios;Mark E. Shields

  • Machine learning — Neural networks, genetic algorithms, and fuzzy systems: by Hojjat Adeli and Shin-Lin Hung, John Wiley & Sons, 1995. ISBN 0 471-01633-0, 212 pp., US$39.95

    Krzysztof Cios

Frequent Co-Authors

Lukasz Kurgan
Lukasz Kurgan Virginia Commonwealth University
Witold Pedrycz
Witold Pedrycz University of Alberta
Sebastián Ventura
Sebastián Ventura University of Córdoba
Katheleen Gardiner
Katheleen Gardiner University of Colorado Denver
Kevin J. Staley
Kevin J. Staley Harvard University
Katheryn A. Resing
Katheryn A. Resing University of Colorado Boulder
Natalie G. Ahn
Natalie G. Ahn University of Colorado Boulder
Mark W. Duncan
Mark W. Duncan University of Colorado Denver
Alberto Cano
Alberto Cano Virginia Commonwealth University
Rob Knight
Rob Knight University of California, San Diego

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