Shota Ishikawa
- Electrical and Electronic Engineering
- Materials Chemistry
- Automotive Engineering top 10%
- Computer Vision and Pattern Recognition
- Artificial Intelligence
- Co-authors
- Gen InoueTakayuki ChibaJun SatoSatoru OhisaHinako EbeYoshihito TakahashiJunji KidoKrystian Mikolajczyk
- Topics
- Advancements in Battery Materials (7 papers)Advanced Battery Technologies Research (7 papers)Advanced Battery Materials and Technologies (6 papers)
- Journals
- SHILAP Revista de lepidopterologíaApplied Physics LettersJournal of The Electrochemical Society
In The Last Decade
Shota Ishikawa
26 papers receiving 394 citations
Peers
Comparison fields: 5 of 56
- Electrical and Electronic Engineering 296
- Materials Chemistry 137
- Automotive Engineering 98
- Computer Vision and Pattern Recognition 54
- Artificial Intelligence 33
Countries citing papers authored by Shota Ishikawa
This map shows the geographic impact of Shota Ishikawa'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 Shota Ishikawa with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Shota Ishikawa more than expected).
Fields of papers citing papers by Shota Ishikawa
This network shows the impact of papers produced by Shota Ishikawa. 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 Shota Ishikawa. The network helps show where Shota Ishikawa may publish in the future.
Co-authorship network of co-authors of Shota Ishikawa
This figure shows the co-authorship network connecting the top 25 collaborators of Shota Ishikawa. A scholar is included among the top collaborators of Shota Ishikawa 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 Shota Ishikawa. Shota Ishikawa 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 | 32 | |
| 3 | 12 | |
| 4 | 17 | |
| 5 | 1 | |
| 6 | 8 | |
| 7 | 7 | |
| 8 | 4 | |
| 9 | 35 | |
| 10 | 69 | |
| 11 | 1 | |
| 12 | 1 | |
| 13 | 2 | |
| 14 | 1 | |
| 15 | 0 | |
| 16 | 3 | |
| 17 | 0 | |
| 18 | Hot topic detection in local areas using Twitter and Wikipedia | 16 |
| 19 | 3-D Recovery of a non-rigid object from a single camera view | 1 |
| 20 | 4 |
About Shota Ishikawa
Shota Ishikawa is a scholar working on Automotive Engineering, Transportation and Computer Vision and Pattern Recognition, having authored 30 papers that have together received 403 indexed citations. Recurring topics across this work include Advancements in Battery Materials (7 papers), Advanced Battery Technologies Research (7 papers) and Advanced Battery Materials and Technologies (6 papers). The work is most often cited by research in Automotive Engineering (98 citations), Electrical and Electronic Engineering (296 citations) and Materials Chemistry (137 citations). Shota Ishikawa has collaborated with scholars based in Japan and Czechia. Frequent co-authors include Gen Inoue, Takayuki Chiba, Jun Sato, Satoru Ohisa, Hinako Ebe, Yoshihito Takahashi, Junji Kido, Krystian Mikolajczyk, Hirofumi Uemura and Yoshifumi Tsuge. Their work appears in journals such as SHILAP Revista de lepidopterología, Applied Physics Letters and Journal of The Electrochemical Society.
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.