World's Best Scientists 2026 revealed!
Takahiro Hara

Takahiro Hara

D-Index & Metrics

Computer Science

D-Index
41
Citations
8138
World Ranking
8756
National Ranking
118

Takahiro Hara 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 Takahiro Hara 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: 514 publications — 94th percentile

94% of scientists in this discipline score the same or lower.

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

Takahiro Hara 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 Takahiro Hara 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.

Research.com Recognitions

  • 2013 - ACM Distinguished Member
  • 2011 - ACM Senior Member

Overview

Takahiro Hara is affiliated with Osaka University in Japan and has contributed to the field of computer science, particularly focusing on artificial intelligence, computer networks and communications, information systems, signal processing, and computer vision and pattern recognition. Their research encompasses various topics such as data management and algorithms, recommender systems and techniques, complex network analysis techniques, topic modeling, advanced graph neural networks, seed and plant biochemistry, and sentiment analysis and opinion mining.

Among the recent publications associated with Hara is the paper titled "Pure copper layer formation on pure copper substrate using multi-beam laser cladding system with blue diode lasers" (2020), published in Applied Physics A, which has been cited 41 times.

Frequent co-authors of Hara include:

  • Daichi Amagata
  • Yihong Zhang
  • Takuya Maekawa
  • Masumi Shirakawa
  • Kei Yonekawa

Hara's research findings have often appeared in the following publication venues:

  • arXiv (Cornell University)
  • Journal of Information Processing
  • Plant Breeding
  • ACM Transactions on Knowledge Discovery from Data
  • Journal of Intelligent Information Systems

The scientist has also contributed to book publications, including in the Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering series, with a notable entry titled "Mobile and Ubiquitous Systems: Computing, Networking and Services" released in 2022.

Hara's recent research publications show a broad interest in both applied and theoretical aspects of computing. These include:

  • A DNN-Based Cross-Domain Recommender System for Alleviating Cold-Start Problem in E-Commerce, 2020, IEEE Open Journal of the Industrial Electronics Society
  • Pure copper layer formation on pure copper substrate using multi-beam laser cladding system with blue diode lasers, 2020, Applied Physics A
  • HML4Rec: Hierarchical meta-learning for cold-start recommendation in flash sale e-commerce, 2022, Knowledge-Based Systems
  • Acceleration-based Activity Recognition of Repetitive Works with Lightweight Ordered-work Segmentation Network, 2022, Proceedings of the ACM on Interactive Mobile Wearable and Ubiquitous Technologies
  • Important agronomic characteristics of yielding ability in common buckwheat; ecotype and ecological differentiation, preharvest sprouting resistance, shattering resistance, and lodging resistance, 2020, Breeding Science

Hara has been recognized by the ACM with distinctions including the titles of Senior Member in 2011 and Distinguished Member in 2013.

Best Publications

  • Effective replica allocation in ad hoc networks for improving data accessibility

    T. Hara

  • Localization algorithms of Wireless Sensor Networks: a survey

    Guangjie Han;Huihui Xu;Trung Q. Duong;Jinfang Jiang

  • A Multi-Objective Optimization Scheduling Method Based on the Ant Colony Algorithm in Cloud Computing

    Liyun Zuo;Lei Shu;Shoubin Dong;Chunsheng Zhu

  • Data Replication for Improving Data Accessibility in Ad Hoc Networks

    T. Hara;S.K. Madria

  • Replica allocation methods in ad hoc networks with data update

    Takahiro Hara

  • A survey on communication and data management issues in mobile sensor networks

    Chunsheng Zhu;Lei Shu;Takahiro Hara;Lei Wang

  • Mining people's trips from large scale geo-tagged photos

    Yuki Arase;Xing Xie;Takahiro Hara;Shojiro Nishio

  • Wikipedia mining for an association web thesaurus construction

    Kotaro Nakayama;Takahiro Hara;Shojiro Nishio

  • Dynamic TDMA slot assignment in ad hoc networks

    A. Kanzaki;T. Uemukai;T. Hara;S. Nishio

  • Path planning using a mobile anchor node based on trilateration in wireless sensor networks

    Guangjie Han;Huihui Xu;Jinfang Jiang;Lei Shu

  • A dummy-based anonymization method based on user trajectory with pauses

    Ryo Kato;Mayu Iwata;Takahiro Hara;Akiyoshi Suzuki

  • Consistency Management Strategies for Data Replication in Mobile Ad Hoc Networks

    T. Hara;S.K. Madria

  • Replica allocation in ad hoc networks with periodic data update

    T. Hara

  • Dummy-Based User Location Anonymization Under Real-World Constraints

    Takahiro Hara;Akiyoshi Suzuki;Mayu Iwata;Yuki Arase

  • Performance Evaluation of Leader–Follower-Based Mobile Molecular Communication Networks for Target Detection Applications

    Tadashi Nakano;Yutaka Okaie;Shouhei Kobayashi;Takako Koujin

  • Cooperative caching by mobile clients in push-based information systems

    Takahiro Hara

  • Replica allocation for correlated data items in ad hoc sensor networks

    Takahiro Hara;Norishige Murakami;Shojiro Nishio

  • A user location anonymization method for location based services in a real environment

    Akiyoshi Suzuki;Mayu Iwata;Yuki Arase;Takahiro Hara

  • Association thesaurus construction methods based on link co-occurrence analysis for wikipedia

    Masahiro Ito;Kotaro Nakayama;Takahiro Hara;Shojiro Nishio

  • Methods and Applications of Mobile Molecular Communication

    Tadashi Nakano;Yutaka Okaie;Shouhei Kobayashi;Takahiro Hara

  • An approach for extracting bilingual terminology from Wikipedia

    Maike Erdmann;Kotaro Nakayama;Takahiro Hara;Shojiro Nishio

Frequent Co-Authors

Shojiro Nishio
Shojiro Nishio Osaka University
Tadashi Nakano
Tadashi Nakano Osaka Metropolitan University
Lei Shu
Lei Shu Nanjing Agricultural University
Kiyoshi Kiyokawa
Kiyoshi Kiyokawa Nara Institute of Science and Technology
Laurence T. Yang
Laurence T. Yang St. Francis Xavier University
Chunsheng Zhu
Chunsheng Zhu Southern University of Science and Technology
Min Chen
Min Chen South China University of Technology
Yasushi Hiraoka
Yasushi Hiraoka Osaka University
Victor C. M. Leung
Victor C. M. Leung Shenzhen University
Leonard Barolli
Leonard Barolli Fukuoka Institute of Technology

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