Wataru Ohyama
- Computer Vision and Pattern Recognition top 5%
- Artificial Intelligence top 10%
- Media Technology top 5%
- Information Systems
- Human-Computer Interaction
- Co-authors
- Fumitaka KimuraTetsushi WakabayashiSeiichi UchidaMuhammad Imran MalikBryan FoundMichael BlumensteinMarcus LiwickiMasakazu Suzuki
- Topics
- Handwritten Text Recognition Techniques (31 papers)Image Retrieval and Classification Techniques (14 papers)Text and Document Classification Technologies (13 papers)
In The Last Decade
Wataru Ohyama
51 papers receiving 296 citations
Peers
Comparison fields: 5 of 62
- Computer Vision and Pattern Recognition 231
- Artificial Intelligence 132
- Media Technology 84
- Information Systems 36
- Human-Computer Interaction 22
Countries citing papers authored by Wataru Ohyama
This map shows the geographic impact of Wataru Ohyama'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 Wataru Ohyama with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Wataru Ohyama more than expected).
Fields of papers citing papers by Wataru Ohyama
This network shows the impact of papers produced by Wataru Ohyama. 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 Wataru Ohyama. The network helps show where Wataru Ohyama may publish in the future.
Co-authorship network of co-authors of Wataru Ohyama
This figure shows the co-authorship network connecting the top 25 collaborators of Wataru Ohyama. A scholar is included among the top collaborators of Wataru Ohyama 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 Wataru Ohyama. Wataru Ohyama 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 | 2 | |
| 3 | 1 | |
| 4 | 23 | |
| 5 | 3 | |
| 6 | 4 | |
| 7 | 1 | |
| 8 | 2 | |
| 9 | Generalized Combined Segmentation-Verification for Multi-Script Signatures using Random-Impostor Training | 1 |
| 10 | Performance improvement of dot-matrix character recognition by variation model based learning | 1 |
| 11 | 7 | |
| 12 | 73 | |
| 13 | 3 | |
| 14 | 0 | |
| 15 | 4 | |
| 16 | Gradient Features for Accuracy Improvement of Face Image Identification | 1 |
| 17 | Automatic Extraction of SPAMM grids in Left Ventricular Myocardium from MR Tagging Images | 2 |
| 18 | 3 | |
| 19 | 3 | |
| 20 | 13 |
About Wataru Ohyama
Wataru Ohyama is a scholar working on Computer Vision and Pattern Recognition, Media Technology and Artificial Intelligence, having authored 64 papers that have together received 313 indexed citations. Recurring topics across this work include Handwritten Text Recognition Techniques (31 papers), Image Retrieval and Classification Techniques (14 papers) and Text and Document Classification Technologies (13 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (231 citations), Media Technology (84 citations) and Artificial Intelligence (132 citations). Wataru Ohyama has collaborated with scholars based in Japan, Tanzania and Germany. Frequent co-authors include Fumitaka Kimura, Tetsushi Wakabayashi, Seiichi Uchida, Muhammad Imran Malik, Bryan Found, Michael Blumenstein, Marcus Liwicki, Masakazu Suzuki, T. Wakabayashi and Yuchen Zheng. Their work appears in journals such as IEEE Access, Pattern Recognition 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.