Hirofumi Toyama
- Electrical and Electronic Engineering
- Hematology
- Control and Systems Engineering
- Molecular Biology
- Management Science and Operations Research top 10%
- Co-authors
- Tomonobu SenjyuAtsushi YonaToshio SudaFumio AraiKentaro HosokawaShantanu ChakrabortyAhmed Yousuf SaberToshihisa Funabashi
- Topics
- Electric Power System Optimization (8 papers)Energy Load and Power Forecasting (7 papers)Hematopoietic Stem Cell Transplantation (6 papers)
- Cited by
- Energy Engineering and Power TechnologyHematologyManagement Science and Operations Research
- Partner nations
- JapanUnited StatesSaudi Arabia
In The Last Decade
Hirofumi Toyama
14 papers receiving 342 citations
Peers
Comparison fields: 5 of 78
- Electrical and Electronic Engineering 163
- Hematology 62
- Control and Systems Engineering 61
- Molecular Biology 57
- Management Science and Operations Research 51
Countries citing papers authored by Hirofumi Toyama
This map shows the geographic impact of Hirofumi Toyama'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 Hirofumi Toyama with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Hirofumi Toyama more than expected).
Fields of papers citing papers by Hirofumi Toyama
This network shows the impact of papers produced by Hirofumi Toyama. 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 Hirofumi Toyama. The network helps show where Hirofumi Toyama may publish in the future.
Co-authorship network of co-authors of Hirofumi Toyama
This figure shows the co-authorship network connecting the top 25 collaborators of Hirofumi Toyama. A scholar is included among the top collaborators of Hirofumi Toyama 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 Hirofumi Toyama. Hirofumi Toyama 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 | 24 | |
| 3 | 20 | |
| 4 | 41 | |
| 5 | 13 | |
| 6 | 46 | |
| 7 | 4 | |
| 8 | 0 | |
| 9 | 6 | |
| 10 | 70 | |
| 11 | 5 | |
| 12 | 8 | |
| 13 | 3 | |
| 14 | 102 | |
| 15 | 1 | |
| 16 | 13 |
About Hirofumi Toyama
Hirofumi Toyama is a scholar working on Hematology, Management Science and Operations Research and Electrical and Electronic Engineering, having authored 16 papers that have together received 356 indexed citations. Recurring topics across this work include Electric Power System Optimization (8 papers), Energy Load and Power Forecasting (7 papers) and Hematopoietic Stem Cell Transplantation (6 papers). The work is most often cited by research in Energy Engineering and Power Technology (20 citations), Hematology (62 citations) and Management Science and Operations Research (51 citations). Hirofumi Toyama has collaborated with scholars based in Japan, United States and Saudi Arabia. Frequent co-authors include Tomonobu Senjyu, Atsushi Yona, Toshio Suda, Fumio Arai, Kentaro Hosokawa, Shantanu Chakraborty, Ahmed Yousuf Saber, Toshihisa Funabashi, Yoshiko Matsumoto and Keiyo Takubo. Their work appears in journals such as Nature Communications, Blood and Biochemical and Biophysical Research Communications.
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.