World's Best Scientists 2026 revealed!
Hisashi Kashima

Hisashi Kashima

D-Index & Metrics

Computer Science

D-Index
44
Citations
9411
World Ranking
7503
National Ranking
104

Hisashi Kashima 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 Hisashi Kashima 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: 251 publications — 63rd percentile

63% of scientists in this discipline score the same or lower.

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

Hisashi Kashima 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 Hisashi Kashima 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: 44 D-Index — 48th percentile

48% of scientists in this discipline score the same or lower.

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

Overview

Hisashi Kashima is affiliated with Kyoto University in Japan and conducts research primarily in the field of Computer Science, with a focus on Artificial Intelligence. The research spans several subfields including Statistics and Probability, Computer Science Applications, Computer Vision and Pattern Recognition, and Management Science and Operations Research.

The scientist's work encompasses multiple main topics such as:

  • Advanced Causal Inference Techniques
  • Mobile Crowdsensing and Crowdsourcing
  • Statistical Methods and Inference
  • Data Stream Mining Techniques
  • Anomaly Detection Techniques and Applications
  • Explainable Artificial Intelligence (XAI)
  • Computational Drug Discovery Methods

Kashima has authored publications in various venues. Frequent publication venues include:

  • arXiv (Cornell University)
  • Transactions of the Japanese Society for Artificial Intelligence
  • Machine Learning
  • Proceedings of the AAAI Conference on Artificial Intelligence
  • Scientific Reports

Recent notable papers feature the following titles, years, and publication venues:

  • "A Convex Formulation for Learning from Crowds", 2021, Proceedings of the AAAI Conference on Artificial Intelligence
  • "Dual graph convolutional neural network for predicting chemical networks", 2020, BMC Bioinformatics
  • "Interpretable Knowledge Tracing: Simple and Efficient Student Modeling with Causal Relations", 2022, Proceedings of the AAAI Conference on Artificial Intelligence
  • "Predicting anesthetic infusion events using machine learning", 2021, Scientific Reports
  • "Improving imbalanced classification using near-miss instances", 2022, Expert Systems with Applications

Frequent collaborators in research include:

  • Koh Takeuchi
  • Makoto Yamada
  • Guoxi Zhang
  • Ryoma Sato

Kashima has contributed to several book publications with Springer Science+Business Media and Springer Nature. Titles include "Advances in Knowledge Discovery and Data Mining" published in 2023 and "Advances in Artificial Intelligence" published in 2021.

Best Publications

  • Marginalized kernels between labeled graphs

    Hisashi Kashima;Koji Tsuda;Akihiro Inokuchi

  • Direct Importance Estimation with Model Selection and Its Application to Covariate Shift Adaptation

    Masashi Sugiyama;Shinichi Nakajima;Hisashi Kashima;Paul V. Buenau

  • Direct importance estimation for covariate shift adaptation

    Masashi Sugiyama;Taiji Suzuki;Shinichi Nakajima;Hisashi Kashima

  • Eigenspace-based anomaly detection in computer systems

    Tsuyoshi Idé;Hisashi Kashima

  • Roughly balanced bagging for imbalanced data

    Shohei Hido;Hisashi Kashima;Yutaka Takahashi

  • Statistical outlier detection using direct density ratio estimation

    Shohei Hido;Yuta Tsuboi;Hisashi Kashima;Masashi Sugiyama

  • Estimation of low-rank tensors via convex optimization

    Ryota Tomioka;Kohei Hayashi;Hisashi Kashima

  • Tensor factorization using auxiliary information

    Atsuhiro Narita;Kohei Hayashi;Ryota Tomioka;Hisashi Kashima

  • A Parameterized Probabilistic Model of Network Evolution for Supervised Link Prediction

    Hisashi Kashima;Naoki Abe

  • Knowledge Tracing Machines: Factorization Machines for Knowledge Tracing

    Jill-Jenn Vie;Hisashi Kashima

  • Link Propagation: A Fast Semi-supervised Learning Algorithm for Link Prediction

    Hisashi Kashima;Tsuyoshi Kato;Yoshihiro Yamanishi;Masashi Sugiyama

  • Statistical Performance of Convex Tensor Decomposition

    Ryota Tomioka;Taiji Suzuki;Kohei Hayashi;Hisashi Kashima

  • Kernels for Semi-Structured Data

    Hisashi Kashima;Teruo Koyanagi

  • Direct Density Ratio Estimation for Large-scale Covariate Shift Adaptation

    Yuta Tsuboi;Hisashi Kashima;Shohei Hido;Steffen Bickel

  • Kernels for graphs

    H Kashima;K Tsuda;A Inokuchi;B. Schoelkopf K. Tsuda

  • A Linear-Time Graph Kernel

    Shohei Hido;Hisashi Kashima

  • Steered crowdsensing: incentive design towards quality-oriented place-centric crowdsensing

    Ryoma Kawajiri;Masamichi Shimosaka;Hisashi Kashima

  • Statistical quality estimation for general crowdsourcing tasks

    Yukino Baba;Hisashi Kashima

  • Training Conditional Random Fields Using Incomplete Annotations

    Yuta Tsuboi;Hisashi Kashima;Shinsuke Mori;Hiroki Oda

  • Roughly Balanced Bagging for Imbalanced Data.

    Shohei Hido;Hisashi Kashima

  • Approximation Ratios of Graph Neural Networks for Combinatorial Problems

    Ryoma Sato;Makoto Yamada;Hisashi Kashima

Frequent Co-Authors

Ryota Tomioka
Ryota Tomioka Microsoft (United States)
Koji Tsuda
Koji Tsuda University of Tokyo
Yoshihiro Yamanishi
Yoshihiro Yamanishi Nagoya University
Taiji Suzuki
Taiji Suzuki University of Tokyo
Xu Sun
Xu Sun Peking University
Toshihisa Takagi
Toshihisa Takagi University of Tokyo
Yuya Kajikawa
Yuya Kajikawa University of Tokyo
Toshiyuki Tanaka
Toshiyuki Tanaka Kyoto University

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