Hajimu Iida
- Information Systems top 0.5%
- Software top 1%
- Computer Science Applications top 1%
- Computer Networks and Communications top 5%
- Signal Processing top 5%
- Co-authors
- Patanamon ThongtanunamNorihiro YoshidaRaula Gaikovina KulaAhmed E. HassanShane McIntoshKenichi MatsumotoChakkrit TantithamthavornXin Yang
- Topics
- Software Engineering Research (43 papers)Software Engineering Techniques and Practices (21 papers)Software Reliability and Analysis Research (19 papers)
In The Last Decade
Hajimu Iida
70 papers receiving 980 citations
Peers
Comparison fields: 5 of 56
- Information Systems 879
- Software 368
- Computer Science Applications 298
- Computer Networks and Communications 214
- Signal Processing 148
Countries citing papers authored by Hajimu Iida
This map shows the geographic impact of Hajimu Iida'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 Hajimu Iida with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Hajimu Iida more than expected).
Fields of papers citing papers by Hajimu Iida
This network shows the impact of papers produced by Hajimu Iida. 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 Hajimu Iida. The network helps show where Hajimu Iida may publish in the future.
Co-authorship network of co-authors of Hajimu Iida
This figure shows the co-authorship network connecting the top 25 collaborators of Hajimu Iida. A scholar is included among the top collaborators of Hajimu Iida 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 Hajimu Iida. Hajimu Iida is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 4 | |
| 2 | 0 | |
| 3 | 1 | |
| 4 | 3 | |
| 5 | 3 | |
| 6 | 36 | |
| 7 | 5 | |
| 8 | 11 | |
| 9 | Design of A Flow-level Monitoring Middleware for Automatic Flow Categorization | 1 |
| 10 | 42 | |
| 11 | 5 | |
| 12 | 91 | |
| 13 | 61 | |
| 14 | 8 | |
| 15 | An analysis of relationship between code clone length and software reliability | 1 |
| 16 | A Method to Investigate Software Evolutions Using Design Pattern Detection Tool | 0 |
| 17 | Mega Software Engineering | 0 |
| 18 | 1 | |
| 19 | 3 | |
| 20 | 1 |
About Hajimu Iida
Hajimu Iida is a scholar working on Software, Computer Science Applications and Information Systems, having authored 83 papers that have together received 1.0k indexed citations. Recurring topics across this work include Software Engineering Research (43 papers), Software Engineering Techniques and Practices (21 papers) and Software Reliability and Analysis Research (19 papers). The work is most often cited by research in Software (368 citations), Computer Science Applications (298 citations) and Information Systems (879 citations). Hajimu Iida has collaborated with scholars based in Japan, Thailand and Canada. Frequent co-authors include Patanamon Thongtanunam, Norihiro Yoshida, Raula Gaikovina Kula, Ahmed E. Hassan, Shane McIntosh, Kenichi Matsumoto, Chakkrit Tantithamthavorn, Xin Yang, Kohei Ichikawa and Kenji Fujiwara. Their work appears in journals such as IEEE Access, Empirical Software Engineering and Concurrency and Computation Practice and Experience.
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.