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Sotiris Kotsiantis

Sotiris Kotsiantis

D-Index & Metrics

Computer Science

D-Index
41
Citations
27954
World Ranking
8555
National Ranking
61

Sotiris Kotsiantis 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 Sotiris Kotsiantis 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: 250 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: 560 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: 424 scientists 242–251 publications: 408 scientists 252–261 publications: 378 scientists 262–271 publications: 300 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: 261 publications — 65th percentile

65% of scientists in this discipline score the same or lower.

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

Sotiris Kotsiantis 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 Sotiris Kotsiantis sits on this spectrum.

30–31 D-Index: 879 scientists 32–33 D-Index: 984 scientists 34–35 D-Index: 918 scientists 36–37 D-Index: 990 scientists 38–39 D-Index: 969 scientists 40–41 D-Index: 907 scientists 42–43 D-Index: 821 scientists 44–45 D-Index: 765 scientists 46–47 D-Index: 689 scientists 48–49 D-Index: 543 scientists 50–51 D-Index: 543 scientists 52–53 D-Index: 517 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

Sotiris Kotsiantis is affiliated with the University of Patras in Greece and has contributed extensively to the field of Computer Science, with a primary focus on Artificial Intelligence. Their research spans multiple subfields, including Computer Science Applications, Management Science and Operations Research, Computer Vision and Pattern Recognition, and Signal Processing.

The scientist's work concentrates on various topics, prominently featuring Online Learning and Analytics, Machine Learning and Data Classification, and Imbalanced Data Classification Techniques. Other key research topics include Anomaly Detection Techniques and Applications, Stock Market Forecasting Methods, Machine Learning and Algorithms, and Data Stream Mining Techniques.

They have published in a range of academic venues, frequently contributing to journals such as Intelligent Decision Technologies, Electronics, Applied Sciences, Algorithms, and IEEE Access.

Among recent papers associated with Sotiris Kotsiantis are:

  • Explainable AI: A Review of Machine Learning Interpretability Methods, 2020, Entropy
  • COVID-19: A Comparison of Time Series Methods to Forecast Percentage of Active Cases per Population, 2020, Applied Sciences
  • Transfer Learning from Deep Neural Networks for Predicting Student Performance, 2020, Applied Sciences
  • Graph Attention Networks: A Comprehensive Review of Methods and Applications, 2024, Future Internet
  • kNN Classification: a review, 2023, Annals of Mathematics and Artificial Intelligence

Sotiris Kotsiantis frequently collaborates with several co-authors including Georgios Kostopoulos, Charalampos M. Liapis, Aikaterini Karanikola, Vassilios S. Verykios, and Gregory Davrazos.

Best Publications

  • Supervised Machine Learning: A Review of Classification Techniques

    Sotiris B. Kotsiantis

  • Explainable AI: A Review of Machine Learning Interpretability Methods

    Pantelis Linardatos;Vasilis Papastefanopoulos;Sotiris Kotsiantis

  • Machine learning: a review of classification and combining techniques

    S. B. Kotsiantis;I. D. Zaharakis;P. E. Pintelas

  • Decision trees: a recent overview

    S. B. Kotsiantis

  • Handling imbalanced datasets: A review

    Sotiris Kotsiantis;Dimitris Kanellopoulos;Panayiotis Pintelas

  • Data Preprocessing for Supervised Leaning

    S. B. Kotsiantis;D. Kanellopoulos;P. E. Pintelas

  • Association Rules Mining: A Recent Overview

    Sotiris Kotsiantis;Dimitris Kanellopoulos

  • Text Classification Using Machine Learning Techniques

    M. Ikonomakis;S. Kotsiantis;V. Tampakas

  • Discretization Techniques: A recent survey

    Sotiris Kotsiantis;Dimitris Kanellopoulos

  • PREDICTING STUDENTS' PERFORMANCE IN DISTANCE LEARNING USING MACHINE LEARNING TECHNIQUES

    Sotiris B. Kotsiantis;Christos Pierrakeas;Panayiotis E. Pintelas

  • Preventing Student Dropout in Distance Learning Using Machine Learning Techniques

    Sotiris B. Kotsiantis;Christos Pierrakeas;Panayiotis E. Pintelas

  • Use of machine learning techniques for educational proposes: a decision support system for forecasting students' grades

    S. B. Kotsiantis

  • A combinational incremental ensemble of classifiers as a technique for predicting students' performance in distance education

    S. Kotsiantis;K. Patriarcheas;M. Xenos

  • Forecasting Fraudulent Financial Statements using Data Mining

    S. Kotsiantis;E. Koumanakos;D. Tzelepis;V. Tampakas

  • Data preprocessing in predictive data mining

    Stamatios-Aggelos N. Alexandropoulos;Sotiris B. Kotsiantis;Michael N. Vrahatis

  • Mixture of Expert Agents for Handling Imbalanced Data Sets

    S. B. Kotsiantis;P. E. Pintelas

  • Combining bagging, boosting, rotation forest and random subspace methods

    Sotiris Kotsiantis

  • Combining Bagging and Boosting

    S. B. Kotsiantis;P. E. Pintelas

  • Semi-supervised regression: A recent review

    Georgios Kostopoulos;Stamatis Karlos;Sotiris Kotsiantis;Omiros Ragos

  • Predicting students marks in Hellenic Open University

    S.B. Kotsiantis;P.E. Pintelas

  • Transfer Learning from Deep Neural Networks for Predicting Student Performance

    Maria Tsiakmaki;Georgios Kostopoulos;Sotiris Kotsiantis;Omiros Ragos

Frequent Co-Authors

Michael N. Vrahatis
Michael N. Vrahatis University of Patras
Vassilios S. Verykios
Vassilios S. Verykios Hellenic Open University
George K. Kostopoulos
George K. Kostopoulos University of Patras
Dragan Pamučar
Dragan Pamučar University of Belgrade
Gautam Srivastava
Gautam Srivastava Brandon University

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