Katsuhisa Maruyama
- Information Systems top 2%
- Software top 2%
- Artificial Intelligence top 10%
- Signal Processing top 5%
- Computer Networks and Communications top 10%
- Co-authors
- Takayuki OmoriNobukazu YoshiokaHironori WashizakiShinpei HayashiSatoshi YamamotoYuichi NishimuraMotoshi SaekiEduardo B. Fernández
- Topics
- Software Engineering Research (36 papers)Software Testing and Debugging Techniques (29 papers)Advanced Software Engineering Methodologies (15 papers)
- Partner nations
- JapanUnited States
In The Last Decade
Katsuhisa Maruyama
41 papers receiving 416 citations
Peers
Comparison fields: 5 of 38
- Information Systems 390
- Software 192
- Artificial Intelligence 162
- Signal Processing 121
- Computer Networks and Communications 112
Countries citing papers authored by Katsuhisa Maruyama
This map shows the geographic impact of Katsuhisa Maruyama'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 Katsuhisa Maruyama with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Katsuhisa Maruyama more than expected).
Fields of papers citing papers by Katsuhisa Maruyama
This network shows the impact of papers produced by Katsuhisa Maruyama. 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 Katsuhisa Maruyama. The network helps show where Katsuhisa Maruyama may publish in the future.
Co-authorship network of co-authors of Katsuhisa Maruyama
This figure shows the co-authorship network connecting the top 25 collaborators of Katsuhisa Maruyama. A scholar is included among the top collaborators of Katsuhisa Maruyama 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 Katsuhisa Maruyama. Katsuhisa Maruyama 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 | 0 | |
| 3 | 1 | |
| 4 | 0 | |
| 5 | 5 | |
| 6 | 2 | |
| 7 | 5 | |
| 8 | 15 | |
| 9 | 2 | |
| 10 | 3 | |
| 11 | A Survey on Methods of Recording Fine-grained Operations on Integrated Development Environments and their Applications | 8 |
| 12 | 6 | |
| 13 | 6 | |
| 14 | 16 | |
| 15 | 3 | |
| 16 | 42 | |
| 17 | 7 | |
| 18 | 29 | |
| 19 | 3 | |
| 20 | Program structure based on a concurrent object model for switching systems | 1 |
About Katsuhisa Maruyama
Katsuhisa Maruyama is a scholar working on Software, Information Systems and Signal Processing, having authored 52 papers that have together received 446 indexed citations. Recurring topics across this work include Software Engineering Research (36 papers), Software Testing and Debugging Techniques (29 papers) and Advanced Software Engineering Methodologies (15 papers). The work is most often cited by research in Software (192 citations), Information Systems (390 citations) and Signal Processing (121 citations). Katsuhisa Maruyama has collaborated with scholars based in Japan and United States. Frequent co-authors include Takayuki Omori, Nobukazu Yoshioka, Hironori Washizaki, Shinpei Hayashi, Satoshi Yamamoto, Yuichi Nishimura, Motoshi Saeki, Eduardo B. Fernández, K. Koyanagi and Kai Tang. Their work appears in journals such as IEEE Access, IEEE Communications Magazine and IEEE Transactions on Software Engineering.
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.