Nelson Yalta
Impact in
- Signal Processing top 5%
- Speech and Audio Processing
- Music and Audio Processing
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- Speech Recognition and Synthesis
- Natural Language Processing Techniques
- Topic Modeling
Papers in
-
- Human Pose and Action Recognition 2
- Robotic Path Planning Algorithms 1
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- Music and Audio Processing 3
- Speech and Audio Processing 3
- Co-authors
- Tetsuya Ogata (6 shared papers)Kazuhiro Nakadai (4 shared papers)Shinji Watanabe (3 shared papers)Takaaki Hori (2 shared papers)Murali Karthick Baskar (1 shared paper)Matthew Wiesner (1 shared paper)Sri Harish Mallidi (1 shared paper)Martin Karafiát (1 shared paper)
- Journals
- Journal of Robotics and Mechatronics (1 paper)The Proceedings of JSME annual Conference on Robotics and Mechatronics (Robomec) (1 paper)
- Partner nations
- JapanUnited StatesGermany
In The Last Decade
Nelson Yalta
7 papers receiving 188 citations
Peers
Comparison fields: 5 of 52
- Signal Processing 128
- Artificial Intelligence 86
- Computer Vision and Pattern Recognition 42
- Oceanography 22
- Control and Systems Engineering 33
Countries citing papers authored by Nelson Yalta
This map shows the geographic impact of Nelson Yalta'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 Nelson Yalta with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Nelson Yalta more than expected).
Fields of papers citing papers by Nelson Yalta
This network shows the impact of papers produced by Nelson Yalta. 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 Nelson Yalta. The network helps show where Nelson Yalta may publish in the future.
Co-authors
The 11 scholars most cited alongside Nelson Yalta, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2017 | 85 | |
| 2 | 2018 | 61 | |
| 3 | 2019 | 33 | |
| 4 | 2019 | 12 | |
| 5 | 2020 | 6 | |
| 6 | 2020 | 1 | |
| 7 | DELAYED SKIP CONNECTIONS FOR MUSIC CONTENT DRIVEN MOTION GENERATION | 2018 | 1 |
About Nelson Yalta
Nelson Yalta is a scholar working on Computer Vision and Pattern Recognition, Signal Processing, Control and Systems Engineering, Artificial Intelligence and Social Psychology, having authored 7 papers that have together received 199 indexed citations. Recurring topics across this work include Human Motion and Animation (3 papers), Music and Audio Processing (3 papers), Speech and Audio Processing (3 papers), Speech Recognition and Synthesis (3 papers), Human Pose and Action Recognition (2 papers), Social Robot Interaction and HRI (1 paper), Natural Language Processing Techniques (1 paper) and Robotic Path Planning Algorithms (1 paper). The work is most often cited by research in Signal Processing (128 citations), Artificial Intelligence (86 citations), Computer Vision and Pattern Recognition (42 citations), Oceanography (22 citations) and Control and Systems Engineering (33 citations). Nelson Yalta has collaborated with scholars based in Japan, United States and Germany. Frequent co-authors include Tetsuya Ogata, Kazuhiro Nakadai, Shinji Watanabe, Takaaki Hori, Murali Karthick Baskar, Matthew Wiesner, Sri Harish Mallidi, Martin Karafiát, Jaejin Cho and Kanata Suzuki. Their work appears in journals such as Journal of Robotics and Mechatronics and The Proceedings of JSME annual Conference on Robotics and Mechatronics (Robomec).
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.