World's Best Scientists 2026 revealed!
Sadao Kurohashi

Sadao Kurohashi

D-Index & Metrics

Computer Science

D-Index
32
Citations
6119
World Ranking
12960
National Ranking
212

Sadao Kurohashi 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 Sadao Kurohashi 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: 460 publications — 91st percentile

91% of scientists in this discipline score the same or lower.

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

Sadao Kurohashi 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 Sadao Kurohashi 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: 32 D-Index — 10th percentile

10% of scientists in this discipline score the same or lower.

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

Overview

Sadao Kurohashi is affiliated with Kyoto University in Japan and specializes in computer science with a significant focus on artificial intelligence. Their research spans multiple subfields, including computer vision and pattern recognition, information systems, molecular biology, and language and linguistics. The main topics explored in their work include natural language processing techniques, topic modeling, text readability and simplification, speech and dialogue systems, multimodal machine learning applications, biomedical text mining and ontologies, and advanced text analysis techniques.

The scientist has contributed extensively to academic literature, with frequent publications in key venues such as:

  • arXiv (Cornell University)
  • Journal of Natural Language Processing
  • IEEE/ACM Transactions on Audio Speech and Language Processing
  • Journal of Information Processing
  • Proceedings of the AAAI Conference on Artificial Intelligence

Among notable recent papers authored or co-authored by Sadao Kurohashi are:

  • Automatically Neutralizing Subjective Bias in Text, 2020, Proceedings of the AAAI Conference on Artificial Intelligence
  • RODA: Reverse Operation Based Data Augmentation for Solving Math Word Problems, 2021, IEEE/ACM Transactions on Audio Speech and Language Processing
  • Flexibly Focusing on Supporting Facts, Using Bridge Links, and Jointly Training Specialized Modules for Multi-Hop Question Answering, 2021, IEEE/ACM Transactions on Audio Speech and Language Processing
  • GPT-RE: In-context Learning for Relation Extraction using Large Language Models, 2023, arXiv (Cornell University)
  • Design and Structure of The Juman++ Morphological Analyzer Toolkit, 2020, Journal of Natural Language Processing

Their body of work is frequently collaborative, having partnered with multiple researchers including Chenhui Chu, Qianying Liu, Zhuoyuan Mao, Haiyue Song, and Daisuke Kawahara. These co-authors have contributed to numerous publications in overlapping areas of study.

Best Publications

  • Dependency Tree-based Sentiment Classification using CRFs with Hidden Variables

    Tetsuji Nakagawa;Kentaro Inui;Sadao Kurohashi

  • An Empirical Comparison of Domain Adaptation Methods for Neural Machine Translation

    Chenhui Chu;Raj Dabre;Sadao Kurohashi

  • A syntactic analysis method of long Japanese sentences based on the detection of conjunctive structures

    Sadao Kurohashi;Makoto Nagao

  • A Fully-Lexicalized Probabilistic Model for Japanese Syntactic and Case Structure Analysis

    Daisuke Kawahara;Sadao Kurohashi

  • A Fully-Lexicalized Probabilistic Model for Japanese Syntactic and Case Structure Analysis

    Daisuke Kawahara;Sadao Kurohashi

  • ASPEC: Asian Scientific Paper Excerpt Corpus

    Toshiaki Nakazawa;Manabu Yaguchi;Kiyotaka Uchimoto;Masao Utiyama

  • Case Frame Compilation from the Web using High-Performance Computing

    Daisuke Kawahara;Sadao Kurohashi

  • Automatically Neutralizing Subjective Bias in Text

    Reid Pryzant;Richard Diehl Martinez;Nathan Dass;Sadao Kurohashi

  • Overview of the 1st Workshop on Asian Translation

    Toshiaki Nakazawa;Shohei Higashiyama;Chenchen Ding;Hideya Mino

  • Construction of a Japanese Relevance-tagged Corpus

    Daisuke Kawahara;Sadao Kurohashi;Kôiti Hasida

  • TSUBAKI: An Open Search Engine Infrastructure for Developing Information Access Methodology

    Keiji Shinzato;Tomohide Shibata;Daisuke Kawahara;Sadao Kurohashi

  • GPT-RE: In-context Learning for Relation Extraction using Large Language Models

    Unknown

  • Overview of the 6th Workshop on Asian Translation

    Toshiaki Nakazawa;Nobushige Doi;Shohei Higashiyama;Chenchen Ding

  • FAQ Retrieval using Query-Question Similarity and BERT-Based Query-Answer Relevance

    Wataru Sakata;Tomohide Shibata;Ribeka Tanaka;Sadao Kurohashi

  • Morphological Analysis for Unsegmented Languages using Recurrent Neural Network Language Model

    Hajime Morita;Daisuke Kawahara;Sadao Kurohashi

  • All-in-One: Emotion, Sentiment and Intensity Prediction using a Multi-task Ensemble Framework

    Shad Akhtar;Deepanway Ghosal;Asif Ekbal;Pushpak Bhattacharyya

  • Finding structural correspondences from bilingual parsed corpus for corpus-based translation

    Hideo Watanabe;Sadao Kurohashi;Eiji Aramaki

  • Overview of the 5th Workshop on Asian Translation

    Toshiaki Nakazawa;Katsuhito Sudoh;Shohei Higashiyama;Chenchen Ding

  • Automatic detection of discourse structure by checking surface information in sentences

    Sadao Kurohashi;Makoto Nagao

  • Building A Japanese Parsed Corpus

    Sadao Kurohashi;Makoto Nagao

  • Dialog Navigator: a question answering system based on large text knowledge base

    Yoji Kiyota;Sadao Kurohashi;Fuyuko Kido

  • A Method of Case Structure Analysis for Japanese Sentences Based on Examples in Case Frame Dictionary

    Sadao Kurohashi;Makoto Nagao

  • A Discriminative Approach to Japanese Zero Anaphora Resolution with Large-scale Lexicalized Case Frames

    Ryohei Sasano;Sadao Kurohashi

Frequent Co-Authors

Kentaro Inui
Kentaro Inui Tohoku University
Eiichiro Sumita
Eiichiro Sumita National Institute of Information and Communications Technology
Masao Utiyama
Masao Utiyama National Institute of Information and Communications Technology
Asif Ekbal
Asif Ekbal Indian Institute of Technology Patna
Manabu Okumura
Manabu Okumura Tokyo Institute of Technology
Tatsuya Kawahara
Tatsuya Kawahara Kyoto University
Graham Neubig
Graham Neubig Carnegie Mellon University
Pushpak Bhattacharyya
Pushpak Bhattacharyya Indian Institute of Technology Patna
Dan Jurafsky
Dan Jurafsky Stanford University
Yusuke Miyao
Yusuke Miyao University of Tokyo

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