World's Best Scientists 2026 revealed!
Tetsuya Sakai

Tetsuya Sakai

D-Index & Metrics

Computer Science

D-Index
41
Citations
6003
World Ranking
8935
National Ranking
125

Overview

Tetsuya Sakai is affiliated with Waseda University in Japan and has contributed extensively to research in computer science and medicine, with a particular focus on information retrieval and related fields. Their work spans multiple domains including artificial intelligence, information systems, and pulmonary and respiratory medicine.

Their research topics cover a wide range of subjects, including:

  • Topic Modeling
  • Information Retrieval and Search Behavior
  • Natural Language Processing Techniques
  • Expert Finding and Q&A Systems
  • Lung Cancer Treatments and Mutations
  • Multimodal Machine Learning Applications
  • Domain Adaptation and Few-Shot Learning

Sakai's publication record includes papers published in several top venues. Frequent publication outlets include:

  • arXiv (Cornell University)
  • ACM Transactions on Information Systems
  • IEEE Access
  • Journal of Clinical Oncology
  • ACM SIGIR Forum

Some of their recent papers are:

  • "On Fuhr's guideline for IR evaluation" (2020), ACM SIGIR Forum
  • "Retrieval Evaluation Measures that Agree with Users' SERP Preferences" (2020), ACM Transactions on Information Systems
  • "A Versatile Framework for Evaluating Ranked Lists in Terms of Group Fairness and Relevance" (2023), ACM Transactions on Information Systems

Additionally, Sakai is a co-author on interdisciplinary papers such as "Large-scale clinico-genomic profile of non-small cell lung cancer with KRAS G12C: Results from LC-SCRUM-Asia study" (2022) published in Lung Cancer, and "Constructing Better Evaluation Metrics by Incorporating the Anchoring Effect into the User Model" (2022) from the Proceedings of the 45th International ACM SIGIR Conference on Research and Development in Information Retrieval.

They have collaborated frequently with several researchers, including:

  • Yoshitaka Zenke
  • Hiroki Izumi
  • Hibiki Udagawa
  • Kōichi Goto
  • Junjie Wang

Over the course of their career, Tetsuya Sakai has produced a significant body of work reflective of their expertise in multiple intersecting research areas, combining aspects of computer science and medicine. Their contributions engage core themes in information retrieval, machine learning, and clinical studies related to lung cancer.

Best Publications

  • Evaluating evaluation metrics based on the bootstrap

    Tetsuya Sakai

  • Evaluating diversified search results using per-intent graded relevance

    Tetsuya Sakai;Ruihua Song

  • Alternatives to Bpref

    Tetsuya Sakai

  • Proceedings of the 36th international ACM SIGIR conference on Research and development in information retrieval

    Gareth J.F. Jones;Páraic Sheridan;Diane Kelly;Maarten de Rijke

  • Information filtering apparatus for selecting predetermined article from plural articles to present selected article to user, and method therefore

    Kazuo Sumita;Tetsuya Sakai;Masahiro Kajiura;Kenji Ono

  • On the reliability of information retrieval metrics based on graded relevance

    Tetsuya Sakai

  • On information retrieval metrics designed for evaluation with incomplete relevance assessments

    Tetsuya Sakai;Noriko Kando

  • Statistical reform in information retrieval

    Tetsuya Sakai

  • Flexible pseudo-relevance feedback via selective sampling

    Tetsuya Sakai;Toshihiko Manabe;Makoto Koyama

  • Generic summaries for indexing in information retrieval

    Tetsuya Sakai;Karen Sparck-Jones

  • Overview of the NTCIR-9 INTENT Task

    Ruihua Song;Min Zhang;Tetsuya Sakai;Makoto P. Kato

  • Proceedings of the 40th International ACM SIGIR Conference on Research and Development in Information Retrieval

    Noriko Kando;Tetsuya Sakai;Hideo Joho;Hang Li

  • Evaluation with informational and navigational intents

    Tetsuya Sakai

  • Summaries, ranked retrieval and sessions: a unified framework for information access evaluation

    Tetsuya Sakai;Zhicheng Dou

  • Search Result Diversification Based on Hierarchical Intents

    Sha Hu;Zhicheng Dou;Xiaojie Wang;Tetsuya Sakai

  • Statistical Significance, Power, and Sample Sizes: A Systematic Review of SIGIR and TOIS, 2006-2015

    Tetsuya Sakai

  • TREC 2014 Temporal Summarization Track Overview

    Javed Aslam;Fernando Diaz;Matthew Ekstrand-Abueg;Richard McCreadie

  • Overview of the NTCIR-12 Short Text Conversation Task.

    Lifeng Shang;Tetsuya Sakai;Zhengdong Lu;Hang Li

  • Overview of the NTCIR-7 ACLIA Tasks: Advanced Cross-Lingual Information Access

    Teruko Mitamura;Eric Nyberg;Hideki Shima;Tsuneaki Kato

  • Topic set size design

    Tetsuya Sakai

  • Metrics, Statistics, Tests

    Tetsuya Sakai

  • Overview of the NTCIR-8 ACLIA Tasks: Advanced Cross-Lingual Information Access.

    Teruko Mitamura;Hideki Shima;Tetsuya Sakai;Noriko Kando

Frequent Co-Authors

Chin-Yew Lin
Chin-Yew Lin Microsoft Research Asia (China)
Gareth J. F. Jones
Gareth J. F. Jones Dublin City University
Min Zhang
Min Zhang Tsinghua University
Ian Soboroff
Ian Soboroff National Institute of Standards and Technology
Teruko Mitamura
Teruko Mitamura Carnegie Mellon University
Ji-Rong Wen
Ji-Rong Wen Renmin University of China
Stephen Robertson
Stephen Robertson University College London
Hang Li
Hang Li ByteDance
Nigel Collier
Nigel Collier University of Cambridge
Norbert Fuhr
Norbert Fuhr University of Duisburg-Essen

If you think any of the details on this page are incorrect, let us know.

Report an issue

We appreciate your kind effort to assist us to improve this page, it would be helpful providing us with as much detail as possible in the text box below:

Related Online Degrees & Career Pathways

Exploring computer science opens doors to numerous related fields and career options. For those interested in environment and sustainability, environmental engineering degrees online are a strong choice. These programs provide the flexibility to learn remotely while preparing for in-demand green careers.

If you’re interested in the design and creation of advanced machinery, you might want to look into the mechanical engineering degree cost to find affordable programs that fit your budget. Mechanical engineering and computer science often overlap in robotics and automation fields.

For those passionate about the fundamental workings of the universe, a physics degree online can boost analytical and problem-solving skills—valuable assets in tech careers such as software engineering, artificial intelligence, and research.

Data science continues to grow in importance, combining aspects of computer science, statistics, and domain knowledge. Start your data science learning path with affordable online options, and prepare for careers in analytics, business intelligence, and machine learning.

Best Scientists Citing Tetsuya Sakai

Trending Scientists

Recently Published Articles