Jorge Solis
Impact in
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- Music Technology and Sound Studies
- Signal Processing top 5%
- Music and Audio Processing
- Speech and Audio Processing
Papers in
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- Music Technology and Sound Studies 39
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- Tactile and Sensory Interactions 18
- Co-authors
- Atsuo Takanishi (45 shared papers)Klaus Petersen (21 shared papers)Tetsuro Yamamoto (11 shared papers)Koichi Taniguchi (5 shared papers)Yukio Takeda (3 shared papers)Massimo Bergamasco (3 shared papers)Hiroyuki Ishii (6 shared papers)Gentiane Venture (1 shared paper)
In The Last Decade
Jorge Solis
73 papers receiving 442 citations
Peers
Comparison fields: 5 of 63
- Computer Vision and Pattern Recognition 248
- Signal Processing 109
- Cognitive Neuroscience 147
- Human-Computer Interaction 43
- Control and Systems Engineering 119
Countries citing papers authored by Jorge Solis
This map shows the geographic impact of Jorge Solis'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 Jorge Solis with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jorge Solis more than expected).
Fields of papers citing papers by Jorge Solis
This network shows the impact of papers produced by Jorge Solis. 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 Jorge Solis. The network helps show where Jorge Solis may publish in the future.
Co-authors
The 25 scholars most cited alongside Jorge Solis, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 76 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2006 | 27 | |
| 2 | 2011 | 20 | |
| 3 | 2011 | 19 | |
| 4 | 2020 | 19 | |
| 5 | 2008 | 18 | |
| 6 | 2007 | 17 | |
| 7 | An Overview of the Research Approaches on Musical Performance Robots | 2007 | 16 |
| 8 | 2006 | 16 | |
| 9 | 2003 | 16 | |
| 10 | 2009 | 15 | |
| 11 | 2004 | 15 | |
| 12 | 2010 | 14 | |
| 13 | 2008 | 14 | |
| 14 | 2008 | 13 | |
| 15 | Toward an Autonomous Musical Teaching System : From the Waseda Flutist Robot to Flutist Beginners | 2006 | 12 |
| 16 | 2004 | 11 | |
| 17 | 2020 | 10 | |
| 18 | 2010 | 9 | |
| 19 | 2009 | 8 | |
| 20 | 2008 | 8 |
About Jorge Solis
Jorge Solis is a scholar working on Computer Vision and Pattern Recognition, Cognitive Neuroscience, Signal Processing, Mechanical Engineering and Biomedical Engineering, having authored 76 papers that have together received 461 indexed citations. Recurring topics across this work include Music Technology and Sound Studies (39 papers), Tactile and Sensory Interactions (18 papers), Music and Audio Processing (15 papers), Robot Manipulation and Learning (11 papers), Robotic Locomotion and Control (9 papers), Modular Robots and Swarm Intelligence (8 papers), Educational Robotics and Engineering (7 papers) and Speech and Audio Processing (6 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (248 citations), Signal Processing (109 citations), Cognitive Neuroscience (147 citations), Human-Computer Interaction (43 citations) and Control and Systems Engineering (119 citations). Jorge Solis has collaborated with scholars based in Japan, Sweden and Italy. Frequent co-authors include Atsuo Takanishi, Klaus Petersen, Tetsuro Yamamoto, Koichi Taniguchi, Yukio Takeda, Massimo Bergamasco, Hiroyuki Ishii, Gentiane Venture, Yohan Noh and Antonio Frisoli. Their work appears in journals such as Computer Music Journal, Advanced Robotics, Robotics, Robotics and Autonomous Systems and Applied Sciences.
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.