Fumio Kishino
- Computer Vision and Pattern Recognition top 2%
- Human-Computer Interaction top 1%
- Computer Networks and Communications top 10%
- Signal Processing top 10%
- Information Systems top 10%
- Co-authors
- Haruo TakemuraPaul MilgramAkira UtsumiHiroshi YasudaYoshifumi KitamuraTsutomu MiyasatoHirokazu KatoShinji Abe
- Topics
- Network Traffic and Congestion Control (3 papers)Video Coding and Compression Technologies (3 papers)Advanced Data Compression Techniques (2 papers)
- Journals
- IEEE Journal on Selected Areas in CommunicationsComputer Graphics ForumLecture notes in computer science
- Partner nations
- JapanNew Zealand
In The Last Decade
Fumio Kishino
10 papers receiving 564 citations
Peers
Comparison fields: 5 of 85
- Computer Vision and Pattern Recognition 384
- Human-Computer Interaction 245
- Computer Networks and Communications 95
- Signal Processing 65
- Information Systems 57
Countries citing papers authored by Fumio Kishino
This map shows the geographic impact of Fumio Kishino'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 Fumio Kishino with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Fumio Kishino more than expected).
Fields of papers citing papers by Fumio Kishino
This network shows the impact of papers produced by Fumio Kishino. 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 Fumio Kishino. The network helps show where Fumio Kishino may publish in the future.
Co-authorship network of co-authors of Fumio Kishino
This figure shows the co-authorship network connecting the top 25 collaborators of Fumio Kishino. A scholar is included among the top collaborators of Fumio Kishino 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 Fumio Kishino. Fumio Kishino is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 22 | |
| 2 | 9 | |
| 3 | 2 | |
| 4 | 0 | |
| 5 | [Discrepancy between surgeon's binocular parallax perception and manipulation in the neurosurgical operation]. | 1 |
| 6 | 5 | |
| 7 | Augmented Reality: A class of displays on the reality-virtuality continuum. | 447 |
| 8 | Ontology-Based Approach for Interactive Virtual Object Generation | 1 |
| 9 | 7 | |
| 10 | Video communication terminal for a high-speed X.25 packet switching system | 1 |
| 11 | 119 | |
| 12 | 17 |
About Fumio Kishino
Fumio Kishino is a scholar working on Signal Processing, Computer Vision and Pattern Recognition and Human-Computer Interaction, having authored 12 papers that have together received 631 indexed citations. Recurring topics across this work include Network Traffic and Congestion Control (3 papers), Video Coding and Compression Technologies (3 papers) and Advanced Data Compression Techniques (2 papers). The work is most often cited by research in Human-Computer Interaction (245 citations), Computer Vision and Pattern Recognition (384 citations) and Geology (46 citations). Fumio Kishino has collaborated with scholars based in Japan and New Zealand. Frequent co-authors include Haruo Takemura, Paul Milgram, Akira Utsumi, Hiroshi Yasuda, Yoshifumi Kitamura, Tsutomu Miyasato, Hirokazu Kato, Shinji Abe, Noriko Nagata and Y. Yasuda. Their work appears in journals such as IEEE Journal on Selected Areas in Communications, Computer Graphics Forum and Lecture notes in computer science.
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.