Yoshitomo Matsubara
- Artificial Intelligence top 5%
- Computer Vision and Pattern Recognition top 5%
- Computer Networks and Communications top 10%
- Sociology and Political Science
- Information Systems top 10%
- Co-authors
- Marco LevoratoFrancesco RestucciaSameer SinghRobert L. LoganSean D. YoungSabur BaidyaAlessandro MoschittiRuihan Yang
- Topics
- User Authentication and Security Systems (5 papers)IoT and Edge/Fog Computing (4 papers)Biometric Identification and Security (4 papers)
- Cited by
- Computer Vision and Pattern RecognitionArtificial IntelligenceComputer Networks and Communications
- Journals
- IEEE AccessACM Computing Surveys2022 IEEE/CVF Winter Conference on Applications of Computer Vision (WACV)
- Partner nations
- United StatesJapanItaly
In The Last Decade
Yoshitomo Matsubara
17 papers receiving 475 citations
Hit Papers
Peers
Comparison fields: 5 of 60
- Artificial Intelligence 256
- Computer Vision and Pattern Recognition 163
- Computer Networks and Communications 133
- Sociology and Political Science 102
- Information Systems 83
Countries citing papers authored by Yoshitomo Matsubara
This map shows the geographic impact of Yoshitomo Matsubara'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 Yoshitomo Matsubara with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Yoshitomo Matsubara more than expected).
Fields of papers citing papers by Yoshitomo Matsubara
This network shows the impact of papers produced by Yoshitomo Matsubara. 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 Yoshitomo Matsubara. The network helps show where Yoshitomo Matsubara may publish in the future.
Co-authorship network of co-authors of Yoshitomo Matsubara
This figure shows the co-authorship network connecting the top 25 collaborators of Yoshitomo Matsubara. A scholar is included among the top collaborators of Yoshitomo Matsubara 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 Yoshitomo Matsubara. Yoshitomo Matsubara is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 3 | |
| 3 | 1 | |
| 4 | 1 | |
| 5 | 5 | |
| 6 | Split Computing and Early Exiting for Deep Learning Applications: Survey and Research Challengesbreakdown → | 145 |
| 7 | 42 | |
| 8 | 46 | |
| 9 | 27 | |
| 10 | 137 | |
| 11 | 2 | |
| 12 | 62 | |
| 13 | 1 | |
| 14 | A New Biometrics Technique with Flick Operation on Electronic Device | 1 |
| 15 | 5 | |
| 16 | 2 | |
| 17 | Performance assessment in keystroke dynamics by combined profile documents for free text typing | 5 |
About Yoshitomo Matsubara
Yoshitomo Matsubara is a scholar working on Human-Computer Interaction, Signal Processing and Information Systems, having authored 17 papers that have together received 486 indexed citations. Recurring topics across this work include User Authentication and Security Systems (5 papers), IoT and Edge/Fog Computing (4 papers) and Biometric Identification and Security (4 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (163 citations), Artificial Intelligence (256 citations) and Computer Networks and Communications (133 citations). Yoshitomo Matsubara has collaborated with scholars based in United States, Japan and Italy. Frequent co-authors include Marco Levorato, Francesco Restuccia, Sameer Singh, Robert L. Logan, Sean D. Young, Sabur Baidya, Alessandro Moschitti, Ruihan Yang, Stephan Mandt and Thuy Vu. Their work appears in journals such as IEEE Access, ACM Computing Surveys and 2022 IEEE/CVF Winter Conference on Applications of Computer Vision (WACV).
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.