Hidetake Uwano

532 total citations
25 papers, 327 citations indexed

About

Hidetake Uwano is a scholar working on Information Systems, Cognitive Neuroscience and Software. According to data from OpenAlex, Hidetake Uwano has authored 25 papers receiving a total of 327 indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Information Systems, 8 papers in Cognitive Neuroscience and 7 papers in Software. Recurrent topics in Hidetake Uwano's work include Software Engineering Research (12 papers), Software Engineering Techniques and Practices (8 papers) and EEG and Brain-Computer Interfaces (7 papers). Hidetake Uwano is often cited by papers focused on Software Engineering Research (12 papers), Software Engineering Techniques and Practices (8 papers) and EEG and Brain-Computer Interfaces (7 papers). Hidetake Uwano collaborates with scholars based in Japan, Czechia and United States. Hidetake Uwano's co-authors include Akito Monden, Kenichi Matsumoto, Masahide Nakamura, Yasutaka Kamei, Takao Nakagawa, Daniel M. Germán, Hajimu Iida, Yuki Tanaka, Aiko Yamamoto and Hiroki Sato and has published in prestigious journals such as IEICE Transactions on Information and Systems, IEICE Transactions on Fundamentals of Electronics Communications and Computer Sciences and The International journal of networked and distributed computing.

In The Last Decade

Hidetake Uwano

23 papers receiving 309 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Hidetake Uwano Japan	9	224	81	72	69	54	25	327
Norman Peitek Germany	9	187 0.8×	45 0.6×	103 1.4×	70 1.0×	68 1.3×	19	308
Zéphyrin Soh Canada	8	240 1.1×	89 1.1×	18 0.3×	55 0.8×	50 0.9×	13	343
Tim Shaffer United States	7	201 0.9×	28 0.3×	29 0.4×	61 0.9×	51 0.9×	14	293
Teresa Busjahn Germany	8	239 1.1×	63 0.8×	30 0.4×	179 2.6×	65 1.2×	13	419
Joan M. Francioni United States	11	86 0.4×	69 0.9×	91 1.3×	54 0.8×	30 0.6×	28	311
Manuela Züger Switzerland	5	140 0.6×	18 0.2×	120 1.7×	47 0.7×	48 0.9×	6	356
Katsuro Inoue Japan	10	173 0.8×	102 1.3×	27 0.4×	35 0.5×	51 0.9×	51	274
Daniel E. Krutz United States	10	170 0.8×	101 1.2×	14 0.2×	49 0.7×	34 0.6×	42	278
Shashank Srikant United States	8	72 0.3×	59 0.7×	53 0.7×	91 1.3×	69 1.3×	14	249
Fabrizio Fioravanti Italy	9	205 0.9×	151 1.9×	58 0.8×	6 0.1×	63 1.2×	17	337

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-authorship network of co-authors of Hidetake Uwano

This figure shows the co-authorship network connecting the top 25 collaborators of Hidetake Uwano. A scholar is included among the top collaborators of Hidetake Uwano 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 Hidetake Uwano. Hidetake Uwano 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

1.

Uwano, Hidetake, et al.. (2021). Defect Classification using Pressure Change of Sleeve Soldering Machine. 43–47.

2.

Nakamura, Toshihiro, et al.. (2021). Effectiveness of Explaining a Program to Others in Finding Its Bugs. 99. 248–253.

3.

Uwano, Hidetake, et al.. (2020). Combining Biometric Data with Focused Document Types Classifies a Success of Program Comprehension. 366–370. 1 indexed citations

4.

Uwano, Hidetake, et al.. (2019). Synchronized Analysis of Eye Movement and EEG during Program Comprehension. 26–32. 11 indexed citations

5.

Uwano, Hidetake, et al.. (2019). Time series analysis of programmer's EEG for debug state classification. 1–7. 3 indexed citations

6.

Uwano, Hidetake, et al.. (2019). How Does Time Conscious Rule of Gamification Affect Coding and Review?. IEICE Transactions on Information and Systems. E102.D(12). 2435–2440. 2 indexed citations

7.

Uwano, Hidetake, et al.. (2018). How Do Gamification Rules and Personal Preferences Affect Coding?. 13–18. 3 indexed citations

8.

Monden, Akito, et al.. (2017). Industry Application of Software Development Task Measurement System: TaskPit. IEICE Transactions on Information and Systems. E100.D(3). 462–472. 2 indexed citations

9.

Uwano, Hidetake, et al.. (2017). WAP: Does Reviewer Age Affect Code Review Performance?. 164–169. 7 indexed citations

10.

Tanaka, Yuki, et al.. (2016). Effects of Gamified Quiz to Student's Motivation and Score. 1–4. 4 indexed citations

11.

Nakagawa, Takao, et al.. (2014). On measuring the difficulty of program comprehension based on cerebral blood flow. 31(3). 270–276. 1 indexed citations

12.

Uwano, Hidetake, et al.. (2014). Brain activity measurement during program comprehension with NIRS. 1–6. 29 indexed citations

13.

Uwano, Hidetake, et al.. (2014). Brain Activity Measurement during Program Comprehension with NIRS. The International journal of networked and distributed computing. 2(4). 259–259. 13 indexed citations

14.

Nakagawa, Takao, Yasutaka Kamei, Hidetake Uwano, et al.. (2014). Quantifying programmers' mental workload during program comprehension based on cerebral blood flow measurement: a controlled experiment. 448–451. 51 indexed citations

15.

Nakagawa, Takao & Hidetake Uwano. (2012). Usability differential in positions of software keyboard on smartphone. 304–308. 4 indexed citations

16.

Kamei, Yasutaka, Hiroki Sato, Akito Monden, et al.. (2011). An Empirical Study of Fault Prediction with Code Clone Metrics. 91 d. 55–61. 8 indexed citations

17.

Uwano, Hidetake, Yasutaka Kamei, Akito Monden, & Kenichi Matsumoto. (2011). An Analysis of Cost-Overrun Projects Using Financial Data and Software Metrics. 49. 227–232. 2 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.

Uwano, Hidetake, Akito Monden, & Kenichi Matsumoto. (2008). DRESREM 2: An Analysis System for Multi-document Software Review Using Reviewers' Eye Movements. 177–183. 5 indexed citations

20.

Uwano, Hidetake, et al.. (2007). Exploiting Eye Movements for Evaluating Reviewer's Performance in Software Review. IEICE Transactions on Fundamentals of Electronics Communications and Computer Sciences. E90-A(10). 2290–2300. 12 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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