Hajimu Iida

1.5k total citations
83 papers, 1.0k citations indexed

About

Hajimu Iida is a scholar working on Information Systems, Software and Artificial Intelligence. According to data from OpenAlex, Hajimu Iida has authored 83 papers receiving a total of 1.0k indexed citations (citations by other indexed papers that have themselves been cited), including 57 papers in Information Systems, 31 papers in Software and 22 papers in Artificial Intelligence. Recurrent topics in Hajimu Iida's work include Software Engineering Research (43 papers), Software Engineering Techniques and Practices (21 papers) and Software Reliability and Analysis Research (19 papers). Hajimu Iida is often cited by papers focused on Software Engineering Research (43 papers), Software Engineering Techniques and Practices (21 papers) and Software Reliability and Analysis Research (19 papers). Hajimu Iida collaborates with scholars based in Japan, Thailand and Canada. Hajimu Iida's co-authors include Patanamon Thongtanunam, Norihiro Yoshida, Raula Gaikovina Kula, Shane McIntosh, Ahmed E. Hassan, Kenichi Matsumoto, Chakkrit Tantithamthavorn, Xin Yang, Kohei Ichikawa and Kenji Fujiwara and has published in prestigious journals such as IEEE Access, Empirical Software Engineering and Concurrency and Computation Practice and Experience.

In The Last Decade

Hajimu Iida

70 papers receiving 980 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name	h						Papers	Cites
Hajimu Iida Japan	15	879	368	298	214	148	83	1.0k
Patanamon Thongtanunam Australia	16	935 1.1×	481 1.3×	272 0.9×	201 0.9×	86 0.6×	45	1.0k
Raymond P.L. Buse United States	11	767 0.9×	431 1.2×	123 0.4×	202 0.9×	111 0.8×	11	871
Moritz Beller Netherlands	13	945 1.1×	601 1.6×	177 0.6×	319 1.5×	106 0.7×	26	1.1k
Luca Pascarella Switzerland	16	654 0.7×	406 1.1×	71 0.2×	206 1.0×	122 0.8×	42	822
Foyzur Rahman United States	14	1.2k 1.3×	890 2.4×	153 0.5×	379 1.8×	150 1.0×	15	1.2k
Qiao Huang China	13	633 0.7×	302 0.8×	73 0.2×	208 1.0×	111 0.8×	27	761
Marco D’Ambros Switzerland	16	1.7k 1.9×	1.2k 3.1×	204 0.7×	548 2.6×	125 0.8×	43	1.8k
Kostadin Damevski United States	15	440 0.5×	144 0.4×	96 0.3×	174 0.8×	86 0.6×	59	627
Elmar Juergens Germany	14	929 1.1×	630 1.7×	107 0.4×	186 0.9×	216 1.5×	41	1.0k
Kris De Volder Canada	12	781 0.9×	309 0.8×	137 0.5×	241 1.1×	48 0.3×	22	874

Countries citing papers authored by Hajimu Iida

Since Specialization

Citations

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

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

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20 of 20 papers shown

Lin, Bin, et al.. (2024). On the Use of ChatGPT for Code Review: Do Developers Like Reviews By ChatGPT?. Radboud Repository (Radboud University). 375–380. 4 indexed citations

Takahashi, Keichi, et al.. (2023). The Convergence of Container and Traditional Virtualization: Strengths and Limitations. SN Computer Science. 4(4). 1 indexed citations

Fujiwara, Kenji, et al.. (2023). An Empirical Investigation on the Performance of Domain Adaptation for T5 Code Completion. 693–697. 4 indexed citations

Takahashi, Keichi, et al.. (2022). Automated Quantization and Retraining for Neural Network Models Without Labeled Data. IEEE Access. 10. 73818–73834. 3 indexed citations

Takahashi, Keichi, et al.. (2022). Sparse Communication for Federated Learning. 1–8. 3 indexed citations

Li, Guoqing, et al.. (2021). Comparative Performance Study of Lightweight Hypervisors Used in Container Environment. 215–223. 3 indexed citations

Mori, Akira, et al.. (2019). Tracking Method-Level Clones and a Case Study. 56. 27–33. 2 indexed citations

Thongtanunam, Patanamon, Shane McIntosh, Ahmed E. Hassan, & Hajimu Iida. (2018). Review participation in modern code review: An empirical study of the Android, Qt, and OpenStack projects (journal-first abstract). 475–475. 9 indexed citations

Choi, Eunjong, Daiki Tanaka, Norihiro Yoshida, et al.. (2018). An Investigation of the Relationship between Extract Method and Change Metrics: A Case Study of JEdit. 56. 653–657. 1 indexed citations

10.

Ichikawa, Kohei, et al.. (2017). Application-aware network: network route management using SDN based on application characteristics. CSI Transactions on ICT. 5(4). 375–385. 5 indexed citations

11.

Yoshimoto, Shusuke, Hajimu Iida, Hiroki Ota, et al.. (2017). A patch-type wireless forehead pulse oximeter for SpO<inf>2</inf> measurement. 1–4. 12 indexed citations

12.

Ichikawa, Kohei, et al.. (2017). A Hybrid-Streaming Method for Cloud Gaming: To Improve the Graphics Quality delivered on Highly Accessible Game Contents. International Journal of Serious Games. 4(2). 3 indexed citations

13.

Chantrapornchai, Chantana, et al.. (2016). Design of A Flow-level Monitoring Middleware for Automatic Flow Categorization. IEICE Technical Report; IEICE Tech. Rep.. 116(79). 1–6. 1 indexed citations

14.

Ichikawa, Kohei, et al.. (2016). An SDN-Based Multipath GridFTP for High-Speed Data Transfer. 763–764. 5 indexed citations

15.

Thongtanunam, Patanamon, Shane McIntosh, Ahmed E. Hassan, & Hajimu Iida. (2016). Review participation in modern code review. Empirical Software Engineering. 22(2). 768–817. 91 indexed citations

16.

Thongtanunam, Patanamon, Shane McIntosh, Ahmed E. Hassan, & Hajimu Iida. (2015). Investigating Code Review Practices in Defective Files: An Empirical Study of the Qt System. 168–179. 61 indexed citations

17.

Yang, Xin, et al.. (2015). Quick Trigger on Stack Overflow: A Study of Gamification-Influenced Member Tendencies. 434–437. 8 indexed citations

18.

Sato, Hiroki, et al.. (2008). An analysis of relationship between code clone length and software reliability. IEICE Technical Report; IEICE Tech. Rep.. 108(242). 43–48. 1 indexed citations

19.

Inoue, Koji, et al.. (2005). Mega Software Engineering. OUKA (Osaka University Knowledge Archive) (Osaka University).

20.

Iida, Hajimu, et al.. (2002). An interaction support mechanism in software development. 34. 66–73. 1 indexed citations

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.

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