Bisser Raytchev
- Oncology top 10%
- Computer Vision and Pattern Recognition top 2%
- Pulmonary and Respiratory Medicine top 10%
- Radiology, Nuclear Medicine and Imaging top 10%
- Artificial Intelligence top 10%
- Co-authors
- Kazufumi KanedaToru TamakiShigeto YoshidaShinji TanakaKazuaki ChayamaYoko KominamiKatsuhiko SakaueYoji Sanomura
- Topics
- Image Retrieval and Classification Techniques (22 papers)Advanced Image and Video Retrieval Techniques (18 papers)Advanced Vision and Imaging (16 papers)
In The Last Decade
Bisser Raytchev
71 papers receiving 889 citations
Peers
Comparison fields: 5 of 91
- Oncology 403
- Computer Vision and Pattern Recognition 367
- Pulmonary and Respiratory Medicine 295
- Radiology, Nuclear Medicine and Imaging 202
- Artificial Intelligence 169
Countries citing papers authored by Bisser Raytchev
This map shows the geographic impact of Bisser Raytchev'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 Bisser Raytchev with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Bisser Raytchev more than expected).
Fields of papers citing papers by Bisser Raytchev
This network shows the impact of papers produced by Bisser Raytchev. 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 Bisser Raytchev. The network helps show where Bisser Raytchev may publish in the future.
Co-authorship network of co-authors of Bisser Raytchev
This figure shows the co-authorship network connecting the top 25 collaborators of Bisser Raytchev. A scholar is included among the top collaborators of Bisser Raytchev 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 Bisser Raytchev. Bisser Raytchev is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 0 | |
| 3 | 2 | |
| 4 | 2 | |
| 5 | 1 | |
| 6 | Transfer Learning for Endoscopic Image Classification | 1 |
| 7 | 1 | |
| 8 | Automatic detection of good/bad colonies of iPS cells using local features | 4 |
| 9 | 190 | |
| 10 | 8 | |
| 11 | Volume Rendering using Grid Computing for Large-Scale Volume Data | 0 |
| 12 | 2 | |
| 13 | 63 | |
| 14 | 3 | |
| 15 | 94 | |
| 16 | 7 | |
| 17 | Colorectal NBI Image Recognition using Dense SIFT | 1 |
| 18 | 1 | |
| 19 | 5 | |
| 20 | 10 |
About Bisser Raytchev
Bisser Raytchev is a scholar working on Computer Graphics and Computer-Aided Design, Computer Vision and Pattern Recognition and Human-Computer Interaction, having authored 78 papers that have together received 922 indexed citations. Recurring topics across this work include Image Retrieval and Classification Techniques (22 papers), Advanced Image and Video Retrieval Techniques (18 papers) and Advanced Vision and Imaging (16 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (367 citations), Oncology (403 citations) and Gastroenterology (61 citations). Bisser Raytchev has collaborated with scholars based in Japan, Italy and China. Frequent co-authors include Kazufumi Kaneda, Toru Tamaki, Shigeto Yoshida, Shinji Tanaka, Kazuaki Chayama, Yoko Kominami, Katsuhiko Sakaue, Yoji Sanomura, Tsubasa Hirakawa and Hiroshi Murase. Their work appears in journals such as IEEE Access, Pattern Recognition and Gastrointestinal 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.