Yoshiki Higo
- Information Systems top 0.5%
- Software top 0.5%
- Signal Processing top 2%
- Computer Networks and Communications top 5%
- Artificial Intelligence top 10%
- Co-authors
- Shinji KusumotoKatsuro InoueKeisuke HottaHiroshi IgakiJiachen YangShinsuke MatsumotoHiroaki MurakamiMinoru Nishino
- Topics
- Software Engineering Research (98 papers)Software Testing and Debugging Techniques (64 papers)Software Reliability and Analysis Research (62 papers)
In The Last Decade
Yoshiki Higo
105 papers receiving 1.1k citations
Peers
Comparison fields: 5 of 38
- Information Systems 1.1k
- Software 856
- Signal Processing 427
- Computer Networks and Communications 235
- Artificial Intelligence 144
Countries citing papers authored by Yoshiki Higo
This map shows the geographic impact of Yoshiki Higo'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 Yoshiki Higo with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Yoshiki Higo more than expected).
Fields of papers citing papers by Yoshiki Higo
This network shows the impact of papers produced by Yoshiki Higo. 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 Yoshiki Higo. The network helps show where Yoshiki Higo may publish in the future.
Co-authorship network of co-authors of Yoshiki Higo
This figure shows the co-authorship network connecting the top 25 collaborators of Yoshiki Higo. A scholar is included among the top collaborators of Yoshiki Higo 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 Yoshiki Higo. Yoshiki Higo 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 | 3 | |
| 3 | 0 | |
| 4 | 1 | |
| 5 | 11 | |
| 6 | 4 | |
| 7 | 2 | |
| 8 | 8 | |
| 9 | 3 | |
| 10 | Risk Prediction for Code Clones Based on Machine Learning | 1 |
| 11 | 13 | |
| 12 | Clone Tracking based on Similarity of CRD | 3 |
| 13 | 1 | |
| 14 | 4 | |
| 15 | 1 | |
| 16 | Identifying and Visualization Refactoring Candidates for Extract Method using Program Dependence Graph | 1 |
| 17 | MASU: A Metrics Measurement Framework for Multiple Programing Languages | 3 |
| 18 | Proposal and evaluation of an approach to find bugs using difference information of code clone detection tools | 2 |
| 19 | 27 | |
| 20 | Code Clone Analysis Environment for Software Maintenance | 1 |
About Yoshiki Higo
Yoshiki Higo is a scholar working on Software, Information Systems and Signal Processing, having authored 112 papers that have together received 1.2k indexed citations. Recurring topics across this work include Software Engineering Research (98 papers), Software Testing and Debugging Techniques (64 papers) and Software Reliability and Analysis Research (62 papers). The work is most often cited by research in Software (856 citations), Information Systems (1.1k citations) and Signal Processing (427 citations). Yoshiki Higo has collaborated with scholars based in Japan, Canada and Germany. Frequent co-authors include Shinji Kusumoto, Katsuro Inoue, Keisuke Hotta, Hiroshi Igaki, Jiachen Yang, Shinsuke Matsumoto, Hiroaki Murakami, Minoru Nishino, Makoto Matsushita and S. Kusumoto. Their work appears in journals such as Journal of Systems and Software, Information and Software Technology and Empirical 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.