World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
55
Citations
14615
World Ranking
4247
National Ranking
2002

Mitsunori Ogihara 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 Mitsunori Ogihara 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: 258 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.

Mitsunori Ogihara 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 Mitsunori Ogihara 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: 55 D-Index — 71st percentile

71% 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

  • 2008 - ACM Distinguished Member

Overview

Mitsunori Ogihara is affiliated with the University of Miami in the United States and has contributed extensively to the field of Computer Science. Their research spans a variety of subfields, with a significant focus on Computer Vision and Pattern Recognition, Artificial Intelligence, Signal Processing, Computational Theory and Mathematics, and Genetics.

The research topics covered in their work include:

  • Algorithms and Data Compression
  • Advanced Image and Video Retrieval Techniques
  • Data Management and Algorithms
  • Diabetes and Associated Disorders
  • Diabetes Management and Research
  • Pancreatic Function and Diabetes
  • Music Technology and Sound Studies

Recent publications illustrate the breadth of their work. Selected papers include:

  • "Generating Pictorial Storylines Via Minimum-Weight Connected Dominating Set Approximation in Multi-View Graphs" (2021), published in Proceedings of the AAAI Conference on Artificial Intelligence
  • "iDEC" (2020), published in Proceedings of the VLDB Endowment
  • "Challenges and Issues in Data Science Education" (2022), published in Computer
  • "Exploring Computational Data Amplification and Imputation for the Discovery of Type 1 Diabetes (T1D) Biomarkers from Limited Human Datasets" (2022), published in Biomolecules
  • "Space- and computationally-efficient set reconciliation via parity bitmap sketch (PBS)" (2020), published in Proceedings of the VLDB Endowment

Collaborations have been an integral part of their research activities. Frequent coauthors include Huayi Wang, Jingfan Meng, Long Gong, Jun Xu, and J. T. Bonnell, with multiple joint publications across different topics.

Publication venues where their work frequently appears include:

  • Proceedings of the VLDB Endowment
  • arXiv (Cornell University)
  • Theory of Computing Systems
  • Leibniz-Zentrum für Informatik (Schloss Dagstuhl)
  • Computer

Mitsunori Ogihara was recognized as an ACM Distinguished Member in 2008. This acknowledgment forms part of their academic profile within the professional computing community.

Best Publications

  • Parallel Algorithms for Discovery of Association Rules

    Mohammed J. Zaki;Srinivasan Parthasarathy;Mitsunori Ogihara;Wei Li

  • New algorithms for fast discovery of association rules

    Mohammed J Zaki;Srinivasan Parthasarathy;Mitsunori Ogihara;Wei Li

  • A comparative study of feature selection and multiclass classification methods for tissue classification based on gene expression

    Tao Li;Chengliang Zhang;Mitsunori Ogihara

  • A comparative study on content-based music genre classification

    Tao Li;Mitsunori Ogihara;Qi Li

  • Detecting Emotion in Music

    Tao Li;Mitsunori Ogihara

  • A survey on wavelet applications in data mining

    Tao Li;Qi Li;Shenghuo Zhu;Mitsunori Ogihara

  • Theoretical Foundations of Association Rules

    Mohammed J. Zaki;Mitsunori Ogihara

  • Using discriminant analysis for multi-class classification: an experimental investigation

    Tao Li;Shenghuo Zhu;Mitsunori Ogihara

  • Simulating Boolean Circuits on a DNA Computer

    Mitsunori Ogihara;Animesh Ray

  • Incremental and interactive sequence mining

    S. Parthasarathy;M. J. Zaki;M. Ogihara;S. Dwarkadas

  • Relationships among $PL$, $\#L$, and the determinant

    Eric Allender;Mitsunori Ogihara

  • Evaluation of sampling for data mining of association rules

    M.J. Zaki;S. Parthasarathy;Wei Li;M. Ogihara

  • Data streaming algorithms for estimating entropy of network traffic

    Ashwin Lall;Vyas Sekar;Mitsunori Ogihara;Jun Xu

  • The Complexity Theory Companion

    Lane A. Hemaspaandra;Mitsunori Ogihara

  • Toward intelligent music information retrieval

    Tao Li;M. Ogihara

  • Mining features for sequence classification

    Neal Lesh;Mohammed J. Zaki;Mitsunori Ogihara

  • Entropy-based criterion in categorical clustering

    Tao Li;Sheng Ma;Mitsunori Ogihara

  • Parallel Data Mining for Association Rules on Shared-Memory Multi-Processors

    M. J. Zaki;M. Ogihara;S. Parthasarathy;W. Li

  • On polynomial-time bounded truth-table reducibility of NP sets to sparse sets

    Mitsunori Ogiwara;Osamu Watanabe

  • Parallel data mining for association rules on shared memory systems

    S. Parthasarathy;M. J. Zaki;M. Ogihara;W. Li

  • Content-based music similarity search and emotion detection

    Tao Li;M. Ogihara

Frequent Co-Authors

Tao Li
Tao Li Florida International University
Lane A. Hemaspaandra
Lane A. Hemaspaandra University of Rochester
Mohammed J. Zaki
Mohammed J. Zaki Rensselaer Polytechnic Institute
Srinivasan Parthasarathy
Srinivasan Parthasarathy The Ohio State University
Alan L. Selman
Alan L. Selman University at Buffalo, State University of New York
Chen Ding
Chen Ding University of Rochester
Jin-Yi Cai
Jin-Yi Cai University of Wisconsin–Madison
Eric Allender
Eric Allender Rutgers, The State University of New Jersey
C. Hendricks Brown
C. Hendricks Brown Northwestern University

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