Koichi Wada
- Pharmaceutical Science top 0.2%
- Materials Chemistry top 10%
- Molecular Biology
- Biomedical Engineering
- Spectroscopy top 5%
- Co-authors
- Yohei KawabataSatomi OnoueShizuo YamadaManabu NakataniKiyoshi TokoMasanori ItoKoji NakanoEtsuo Yonemochi
- Topics
- Parallel Computing and Optimization Techniques (26 papers)Drug Solubulity and Delivery Systems (24 papers)Distributed and Parallel Computing Systems (17 papers)
- Partner nations
- JapanUnited StatesPortugal
In The Last Decade
Koichi Wada
81 papers receiving 1.7k citations
Hit Papers
Peers
Comparison fields: 5 of 133
- Pharmaceutical Science 938
- Materials Chemistry 462
- Molecular Biology 253
- Biomedical Engineering 236
- Spectroscopy 232
Countries citing papers authored by Koichi Wada
This map shows the geographic impact of Koichi Wada'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 Koichi Wada with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Koichi Wada more than expected).
Fields of papers citing papers by Koichi Wada
This network shows the impact of papers produced by Koichi Wada. 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 Koichi Wada. The network helps show where Koichi Wada may publish in the future.
Co-authorship network of co-authors of Koichi Wada
This figure shows the co-authorship network connecting the top 25 collaborators of Koichi Wada. A scholar is included among the top collaborators of Koichi Wada 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 Koichi Wada. Koichi Wada is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 3 | |
| 2 | 7 | |
| 3 | 14 | |
| 4 | 7 | |
| 5 | 0 | |
| 6 | 12 | |
| 7 | On parallel complexity of MapReduce computation | 0 |
| 8 | 27 | |
| 9 | 44 | |
| 10 | On Gathering Problem in a Ring for 2n Autonomous Mobile Robots | 5 |
| 11 | Performance Enhancement of Inter-Cluster Communication with Software-based Data Compression Link Layer. | 2 |
| 12 | Quaver: Openmp compiler for clusters based on array section descriptor | 1 |
| 13 | 2 | |
| 14 | 1 | |
| 15 | Designing Efficient Parallel Alglrithms with Multi-Level Divide-and-Conquer | 0 |
| 16 | 2 | |
| 17 | 29 | |
| 18 | Vulnerability of a communication network with a satellite | 1 |
| 19 | Sequential Prolog Machine PEK. | 7 |
| 20 | 2 |
About Koichi Wada
Koichi Wada is a scholar working on Hardware and Architecture, Pharmaceutical Science and Computer Networks and Communications, having authored 96 papers that have together received 1.7k indexed citations. Recurring topics across this work include Parallel Computing and Optimization Techniques (26 papers), Drug Solubulity and Delivery Systems (24 papers) and Distributed and Parallel Computing Systems (17 papers). The work is most often cited by research in Pharmaceutical Science (938 citations), Analytical Chemistry (218 citations) and Sensory Systems (87 citations). Koichi Wada has collaborated with scholars based in Japan, United States and Portugal. Frequent co-authors include Yohei Kawabata, Satomi Onoue, Shizuo Yamada, Manabu Nakatani, Kiyoshi Toko, Masanori Ito, Koji Nakano, Etsuo Yonemochi, Kazuo Toraichi and Hiromi Yamada. Their work appears in journals such as IEEE Access, International Journal of Pharmaceutics and Sensors.
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.