Shunichi Ishihara
- Artificial Intelligence top 5%
- Pulmonary and Respiratory Medicine
- Genetics top 10%
- Neurology top 10%
- Surgery
- Co-authors
- Shinji NaganawaYuko KinoshitaTsutomu NakashimaMichihiko SoneShigeru MakitaYoshiyuki ItohYuta ShibamotoHiroyuki Ogino
- Topics
- Authorship Attribution and Profiling (22 papers)Speech Recognition and Synthesis (18 papers)Phonetics and Phonology Research (13 papers)
- Cited by
- OtorhinolaryngologyGeneticsNeurology
- Partner nations
- JapanAustraliaUnited States
In The Last Decade
Shunichi Ishihara
89 papers receiving 745 citations
Peers
Comparison fields: 5 of 111
- Artificial Intelligence 203
- Pulmonary and Respiratory Medicine 143
- Genetics 136
- Neurology 134
- Surgery 109
Countries citing papers authored by Shunichi Ishihara
This map shows the geographic impact of Shunichi Ishihara'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 Shunichi Ishihara with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Shunichi Ishihara more than expected).
Fields of papers citing papers by Shunichi Ishihara
This network shows the impact of papers produced by Shunichi Ishihara. 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 Shunichi Ishihara. The network helps show where Shunichi Ishihara may publish in the future.
Co-authorship network of co-authors of Shunichi Ishihara
This figure shows the co-authorship network connecting the top 25 collaborators of Shunichi Ishihara. A scholar is included among the top collaborators of Shunichi Ishihara 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 Shunichi Ishihara. Shunichi Ishihara 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 | 2 | |
| 3 | 1 | |
| 4 | 2 | |
| 5 | 10 | |
| 6 | 1 | |
| 7 | 20 | |
| 8 | 11 | |
| 9 | 15 | |
| 10 | 4 | |
| 11 | Quantitative approaches to problems in linguistics: studies in honour of Phil Rose | 5 |
| 12 | Quantitative approaches to problems in linguistics | 4 |
| 13 | 16 | |
| 14 | Combined chemoradiotherapy for early glottic cancer in clinical practice in Japan: analysis of 10 institutions. | 4 |
| 15 | 1 | |
| 16 | 11 | |
| 17 | 6 | |
| 18 | 9 | |
| 19 | 57 | |
| 20 | 8 |
About Shunichi Ishihara
Shunichi Ishihara is a scholar working on Linguistics and Language, Otorhinolaryngology and Artificial Intelligence, having authored 99 papers that have together received 794 indexed citations. Recurring topics across this work include Authorship Attribution and Profiling (22 papers), Speech Recognition and Synthesis (18 papers) and Phonetics and Phonology Research (13 papers). The work is most often cited by research in Otorhinolaryngology (68 citations), Genetics (136 citations) and Neurology (76 citations). Shunichi Ishihara has collaborated with scholars based in Japan, Australia and United States. Frequent co-authors include Shinji Naganawa, Yuko Kinoshita, Tsutomu Nakashima, Michihiko Sone, Shigeru Makita, Yoshiyuki Itoh, Yuta Shibamoto, Hiroyuki Ogino, Shingo Iwano and Philip Rose. Their work appears in journals such as PLoS ONE, Radiology and The Journal of the Acoustical Society of America.
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.