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 Tetsuya Sakai sits on this spectrum.
This scientist: 286 publications — 71st percentile
71% of scientists in this discipline score the same or lower.
The last bar groups every scientist with 991 publications or more.
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 Tetsuya Sakai sits on this spectrum.
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.
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:
Sakai's publication record includes papers published in several top venues. Frequent publication outlets include:
Some of their recent papers are:
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:
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.
Tetsuya Sakai
Tetsuya Sakai;Ruihua Song
Tetsuya Sakai
Gareth J.F. Jones;Páraic Sheridan;Diane Kelly;Maarten de Rijke
Kazuo Sumita;Tetsuya Sakai;Masahiro Kajiura;Kenji Ono
Tetsuya Sakai
Tetsuya Sakai;Noriko Kando
Tetsuya Sakai
Tetsuya Sakai;Toshihiko Manabe;Makoto Koyama
Tetsuya Sakai;Karen Sparck-Jones
Ruihua Song;Min Zhang;Tetsuya Sakai;Makoto P. Kato
Noriko Kando;Tetsuya Sakai;Hideo Joho;Hang Li
Tetsuya Sakai
Tetsuya Sakai;Zhicheng Dou
Sha Hu;Zhicheng Dou;Xiaojie Wang;Tetsuya Sakai
Tetsuya Sakai
Javed Aslam;Fernando Diaz;Matthew Ekstrand-Abueg;Richard McCreadie
Lifeng Shang;Tetsuya Sakai;Zhengdong Lu;Hang Li
Teruko Mitamura;Eric Nyberg;Hideki Shima;Tsuneaki Kato
Tetsuya Sakai
Tetsuya Sakai
Teruko Mitamura;Hideki Shima;Tetsuya Sakai;Noriko Kando
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