Hisashi Handa
- Artificial Intelligence top 5%
- Oncology
- Radiology, Nuclear Medicine and Imaging
- Pulmonary and Respiratory Medicine
- Industrial and Manufacturing Engineering top 5%
- Co-authors
- Lee ChapmanXin YaoTomohiro WatanabeMasatoshi KudoAyana OkamotoSatoru HagiwaraToshiharu SakuraiNaoshi Nishida
- Topics
- Evolutionary Algorithms and Applications (28 papers)Metaheuristic Optimization Algorithms Research (22 papers)Reinforcement Learning in Robotics (12 papers)
- Partner nations
- JapanUnited KingdomChina
In The Last Decade
Hisashi Handa
53 papers receiving 476 citations
Peers
Comparison fields: 5 of 82
- Artificial Intelligence 270
- Oncology 120
- Radiology, Nuclear Medicine and Imaging 108
- Pulmonary and Respiratory Medicine 71
- Industrial and Manufacturing Engineering 63
Countries citing papers authored by Hisashi Handa
This map shows the geographic impact of Hisashi Handa's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Hisashi Handa with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Hisashi Handa more than expected).
Fields of papers citing papers by Hisashi Handa
This network shows the impact of papers produced by Hisashi Handa. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Hisashi Handa. The network helps show where Hisashi Handa may publish in the future.
Co-authorship network of co-authors of Hisashi Handa
This figure shows the co-authorship network connecting the top 25 collaborators of Hisashi Handa. A scholar is included among the top collaborators of Hisashi Handa based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Hisashi Handa. Hisashi Handa is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 1 | |
| 3 | 8 | |
| 4 | 1 | |
| 5 | 1 | |
| 6 | 159 | |
| 7 | 5 | |
| 8 | 6 | |
| 9 | Environmental games made much more exciting by soft computing techniques | 4 |
| 10 | 18 | |
| 11 | Constitution of Ms.PacMan Player with Critical-Situation Learning Mechanism | 6 |
| 12 | 13 | |
| 13 | 7 | |
| 14 | 10 | |
| 15 | 1 | |
| 16 | 1 | |
| 17 | Fusion of Coevolutionary GA and machine learning techniques through effective schema extraction | 2 |
| 18 | 2 | |
| 19 | 1 | |
| 20 | Coevolutionary Genetic Algorithm with Effective Exploration and Exploitation of Useful Schemata. | 3 |
About Hisashi Handa
Hisashi Handa is a scholar working on Artificial Intelligence, Health Informatics and Computational Theory and Mathematics, having authored 56 papers that have together received 494 indexed citations. Recurring topics across this work include Evolutionary Algorithms and Applications (28 papers), Metaheuristic Optimization Algorithms Research (22 papers) and Reinforcement Learning in Robotics (12 papers). The work is most often cited by research in Artificial Intelligence (270 citations), Health Informatics (10 citations) and Industrial and Manufacturing Engineering (63 citations). Hisashi Handa has collaborated with scholars based in Japan, United Kingdom and China. Frequent co-authors include Lee Chapman, Xin Yao, Tomohiro Watanabe, Masatoshi Kudo, Ayana Okamoto, Satoru Hagiwara, Toshiharu Sakurai, Naoshi Nishida, Hiroshi Kashida and Mamoru Takenaka. Their work appears in journals such as PLoS ONE, Gastrointestinal Endoscopy and Endoscopy.
Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.