Hideki Hashimoto

13.6k citations
474 papers · 8.9k · h-index 50

Impact in

Papers in

Hideki Hashimoto

443 papers receiving 8.4k citations

Peers

Hideki Hashimoto
Comparison fields: 5 of 194
  • Computational Mathematics 120
  • Control and Systems Engineering 2.1k
  • Computer Vision and Pattern Recognition 1.1k
  • Health 348
  • Human-Computer Interaction 264
Replace Jiming Liu with:
Jiming Liu Hong Kong
M. Jamal Deen Canada
Svetha Venkatesh Australia
Lionel Tarassenko United Kingdom
Kwok‐Leung Tsui Hong Kong
Dinesh Kumar India
Peter Szolovits United States
Robert W. Platt Canada
Daqing Zhang China
Shuji Hashimoto Japan
Hideki Hashimoto relative to Jiming Liu Hong Kong Jiming Liu's profile →
Citations per field
00.5×10×15×
Jiming Liu · 1×
Citations per year

Countries citing papers authored by Hideki Hashimoto

Since Specialization
Citations

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

Fields of papers citing papers by Hideki Hashimoto

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Hideki Hashimoto, 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 Hideki Hashimoto Line = papers co-authored together Hideki Hashimoto links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 474 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2002277
2 2000246
3 1996230
4 2002191
5 2004159
6 1985131
7 2007126
8 2003123
9 2012120
10 2013118
11 1987112
12 2003109
13 1998108
14 2008104
15 2010104
16 2013103
17 200597
18 200694
19 200394
20 201091

About Hideki Hashimoto

Hideki Hashimoto is a scholar working on Control and Systems Engineering, Computer Vision and Pattern Recognition, Mechanical Engineering, Aerospace Engineering and Electrical and Electronic Engineering, having authored 474 papers that have together received 8.9k indexed citations. Recurring topics across this work include Robotics and Automated Systems (68 papers), Teleoperation and Haptic Systems (60 papers), Robotics and Sensor-Based Localization (57 papers), Robotic Path Planning Algorithms (47 papers), Robot Manipulation and Learning (43 papers), Context-Aware Activity Recognition Systems (26 papers), Robotic Mechanisms and Dynamics (24 papers) and Adaptive Control of Nonlinear Systems (23 papers). The work is most often cited by research in Computational Mathematics (120 citations), Control and Systems Engineering (2.1k citations), Computer Vision and Pattern Recognition (1.1k citations), Health (348 citations) and Human-Computer Interaction (264 citations). Hideki Hashimoto has collaborated with scholars based in Japan, United States and Hungary. Frequent co-authors include Joo‐Ho Lee, Metin Sitti, Fumio Harashima, Shinya Matsuda, Hideo Yasunaga, Péter Köröndi, Hiromasa Horiguchi, Martin Buss, Eiji Yano and Hirono Ishikawa. Their work appears in journals such as IEEE Transactions on Industrial Electronics, Social Science & Medicine, Advanced Robotics, BMC Health Services Research and IEEJ Transactions on Industry Applications.

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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