Akihiro Hayashi
- Pulmonary and Respiratory Medicine top 5%
- Surgery top 10%
- Molecular Biology
- Oncology top 10%
- Cancer Research top 10%
- Co-authors
- Kazuo ShirouzuShinzo TakamoriVivek SarkarMasahiro MitsuokaYoshinori NagamatsuKeisuke MiwaKohsuke TayamaTeruo Kakegawa
- Topics
- Parallel Computing and Optimization Techniques (23 papers)Distributed and Parallel Computing Systems (14 papers)Tracheal and airway disorders (14 papers)
- Journals
- Journal of the American Chemical SocietySHILAP Revista de lepidopterologíaCancer
- Partner nations
- JapanUnited StatesCanada
In The Last Decade
Akihiro Hayashi
103 papers receiving 1.2k citations
Peers
Comparison fields: 5 of 115
- Pulmonary and Respiratory Medicine 437
- Surgery 290
- Molecular Biology 283
- Oncology 236
- Cancer Research 219
Countries citing papers authored by Akihiro Hayashi
This map shows the geographic impact of Akihiro Hayashi'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 Akihiro Hayashi with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Akihiro Hayashi more than expected).
Fields of papers citing papers by Akihiro Hayashi
This network shows the impact of papers produced by Akihiro Hayashi. 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 Akihiro Hayashi. The network helps show where Akihiro Hayashi may publish in the future.
Co-authorship network of co-authors of Akihiro Hayashi
This figure shows the co-authorship network connecting the top 25 collaborators of Akihiro Hayashi. A scholar is included among the top collaborators of Akihiro Hayashi 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 Akihiro Hayashi. Akihiro Hayashi 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 | 6 | |
| 3 | 1 | |
| 4 | 19 | |
| 5 | Opportunities and Challenges of Application-Power Control in the Age of Dark Silicon | 1 |
| 6 | 0 | |
| 7 | Automatic Parallelization of Dose Calculation Engine for A Particle Therapy on SMP Servers | 1 |
| 8 | Performance Evaluation of Parallelizing Compiler Cooperated Heterogeneous Multicore Architecture Using Media Applications | 1 |
| 9 | 12 | |
| 10 | 0 | |
| 11 | 19 | |
| 12 | 8 | |
| 13 | 1 | |
| 14 | 4 | |
| 15 | Primary hemangiopericytoma of the superior mediastinum: a case report. | 2 |
| 16 | 9 | |
| 17 | 1 | |
| 18 | 18 | |
| 19 | 0 | |
| 20 | 0 |
About Akihiro Hayashi
Akihiro Hayashi is a scholar working on Hardware and Architecture, Pulmonary and Respiratory Medicine and Microbiology, having authored 120 papers that have together received 1.2k indexed citations. Recurring topics across this work include Parallel Computing and Optimization Techniques (23 papers), Distributed and Parallel Computing Systems (14 papers) and Tracheal and airway disorders (14 papers). The work is most often cited by research in Hardware and Architecture (99 citations), Cancer Research (219 citations) and Pulmonary and Respiratory Medicine (437 citations). Akihiro Hayashi has collaborated with scholars based in Japan, United States and Canada. Frequent co-authors include Kazuo Shirouzu, Shinzo Takamori, Vivek Sarkar, Masahiro Mitsuoka, Yoshinori Nagamatsu, Keisuke Miwa, Kohsuke Tayama, Teruo Kakegawa, Mari Fukunaga and Takuma Goto. Their work appears in journals such as Journal of the American Chemical Society, SHILAP Revista de lepidopterología and Cancer.
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.