M. Yachida

2.6k citations
92 papers · 1.7k · h-index 20

Impact in

Papers in

M. Yachida

87 papers receiving 1.5k citations

Peers

M. Yachida
Comparison fields: 5 of 89
  • Computer Vision and Pattern Recognition 1.3k
  • Human-Computer Interaction 169
  • Media Technology 197
  • Aerospace Engineering 403
  • Artificial Intelligence 305
Replace Marco La Cascia with:
Marco La Cascia Italy
Simone Frintrop Germany
Jianwen Xie China
Yannis Avrithis Greece
Pietro Pala Italy
Antonio Bandera Spain
Raymond Ptucha United States
John MacCormick United States
Jianming Zhang China
Besma Abidi United States
M. Yachida relative to Marco La Cascia Italy Marco La Cascia's profile →
Citations per field
00.5×4.1×
Marco La Cascia · 1×
Citations per year

Countries citing papers authored by M. Yachida

Since Specialization
Citations

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

Fields of papers citing papers by M. Yachida

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 92 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2002225
2 1999154
3 2002143
4 1995108
5 200276
6 200276
7 200261
8 200258
9 200234
10 200234
11 200233
12 199633
13 200232
14 200231
15 200229
16 200425
17 200225
18 200224
19 200320
20 199620

About M. Yachida

M. Yachida is a scholar working on Computer Vision and Pattern Recognition, Aerospace Engineering, Human-Computer Interaction, Media Technology and Artificial Intelligence, having authored 92 papers that have together received 1.7k indexed citations. Recurring topics across this work include Advanced Vision and Imaging (35 papers), Robotics and Sensor-Based Localization (27 papers), Advanced Image and Video Retrieval Techniques (24 papers), Face and Expression Recognition (22 papers), Face recognition and analysis (17 papers), Robotic Path Planning Algorithms (14 papers), Hand Gesture Recognition Systems (12 papers) and Image Processing Techniques and Applications (11 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (1.3k citations), Human-Computer Interaction (169 citations), Media Technology (197 citations), Aerospace Engineering (403 citations) and Artificial Intelligence (305 citations). M. Yachida has collaborated with scholars based in Japan and United Kingdom. Frequent co-authors include Yasushi Yagi, Haiyuan Wu, Kazumasa Yamazawa, Yukio Ohsawa, Qian Chen, Yoshio Iwai, Chen Qian, Hajime Nagahara, Takahiro Watanabe and Hiroki MORI. Their work appears in journals such as IEEE Transactions on Pattern Analysis and Machine Intelligence, IEEE Transactions on Systems Man and Cybernetics Part B (Cybernetics), IEEE Transactions on Robotics and Automation, Microbiology Resource Announcements and OUKA (Osaka University Knowledge Archive) (Osaka University).

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.

Explore authors with similar magnitude of impact