Hidetake Uwano

539 citations
26 papers · 333 · h-index 9

Impact in

Papers in

Hidetake Uwano

23 papers receiving 315 citations

Peers

Hidetake Uwano
Comparison fields: 5 of 40
  • Software 81
  • Computer Science Applications 70
  • Human-Computer Interaction 56
  • Information Systems 226
  • Signal Processing 44
Replace Norman Peitek with:
Norman Peitek Germany
Zéphyrin Soh Canada
Teresa Busjahn Germany
Tim Shaffer United States
Joan M. Francioni United States
Katsuro Inoue Japan
Manuela Züger Switzerland
Amanda Swearngin United States
Thomas R. G. Green United Kingdom
Fabrizio Fioravanti Italy
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Citations per year

Countries citing papers authored by Hidetake Uwano

Since Specialization
Citations

This map shows the geographic impact of Hidetake Uwano'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 Hidetake Uwano with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Hidetake Uwano more than expected).

Fields of papers citing papers by Hidetake Uwano

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Hidetake Uwano. 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 Hidetake Uwano. The network helps show where Hidetake Uwano may publish in the future.

Co-authors

The 16 scholars most cited alongside Hidetake Uwano, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Hidetake Uwano Line = papers co-authored together Hidetake Uwano links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 26 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2006116
2 201453
3 200935
4 201429
5
SHINOBI: A real-time code clone detection tool for software maintenance
200815
6 201413
7 200712
8 201911
9 20118
10 20177
11 20085
12 20124
13 20164
14 20164
15 20193
16 20183
17 20172
18 20192
19
Task purpose estimation in software development based on automatic measurement data and machine learning
20162
20 20112

About Hidetake Uwano

Hidetake Uwano is a scholar working on Information Systems, Cognitive Neuroscience, Software, Computer Vision and Pattern Recognition and Artificial Intelligence, having authored 26 papers that have together received 333 indexed citations. Recurring topics across this work include Software Engineering Research (12 papers), Software Engineering Techniques and Practices (8 papers), EEG and Brain-Computer Interfaces (7 papers), Software Reliability and Analysis Research (5 papers), Software Testing and Debugging Techniques (4 papers), Educational Games and Gamification (3 papers), Intelligent Tutoring Systems and Adaptive Learning (3 papers) and Gaze Tracking and Assistive Technology (3 papers). The work is most often cited by research in Software (81 citations), Computer Science Applications (70 citations), Human-Computer Interaction (56 citations), Information Systems (226 citations) and Signal Processing (44 citations). Hidetake Uwano has collaborated with scholars based in Japan, United States and Czechia. Frequent co-authors include Akito Monden, Kenichi Matsumoto, Masahide Nakamura, Yasutaka Kamei, Takao Nakagawa, Daniel M. Germán, Hajimu Iida, Hiroki Sato, Yuki Tanaka and Naoyasu Ubayashi. Their work appears in journals such as IEICE Transactions on Information and Systems, IEICE Transactions on Fundamentals of Electronics Communications and Computer Sciences, ˜The œInternational journal of networked and distributed computing, ACM Proceedings and IEICE Technical Report; IEICE Tech. Rep..

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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