Yasser Mohammad
Impact in
- Human-Computer Interaction top 10%
- Signal Processing top 10%
- Time Series Analysis and Forecasting
- Music and Audio Processing
Papers in
-
- Reinforcement Learning in Robotics 9
- Anomaly Detection Techniques and Applications 5
-
- Robot Manipulation and Learning 17
- Robotics and Automated Systems 5
- Co-authors
- Toyoaki Nishida (34 shared papers)Shogo Okada (2 shared papers)Kazunori Matsumoto (4 shared papers)Keiichiro Hoashi (4 shared papers)Atsushi Nakazawa (3 shared papers)Panikos Heracleous (2 shared papers)Akio Yoneyama (1 shared paper)Divesh Lala (1 shared paper)
- Journals
- Applied Intelligence (6 papers)International Journal of Social Robotics (2 papers)AI & Society (2 papers)Autonomous Agents and Multi-Agent Systems (1 paper)Pattern Recognition Letters (1 paper)
- Partner nations
- JapanEgyptUnited States
In The Last Decade
Yasser Mohammad
53 papers receiving 374 citations
Peers
Comparison fields: 5 of 77
- Human-Computer Interaction 50
- Signal Processing 66
- Artificial Intelligence 171
- Computer Vision and Pattern Recognition 96
- Social Psychology 94
Countries citing papers authored by Yasser Mohammad
This map shows the geographic impact of Yasser Mohammad'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 Yasser Mohammad with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Yasser Mohammad more than expected).
Fields of papers citing papers by Yasser Mohammad
This network shows the impact of papers produced by Yasser Mohammad. 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 Yasser Mohammad. The network helps show where Yasser Mohammad may publish in the future.
Co-authors
The 23 scholars most cited alongside Yasser Mohammad, 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 56 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2009 | 31 | |
| 2 | 2010 | 26 | |
| 3 | 2009 | 23 | |
| 4 | 2018 | 21 | |
| 5 | 2014 | 17 | |
| 6 | 2008 | 14 | |
| 7 | 2010 | 14 | |
| 8 | 2018 | 13 | |
| 9 | 2018 | 13 | |
| 10 | 2009 | 13 | |
| 11 | 2011 | 12 | |
| 12 | 2012 | 11 | |
| 13 | 2014 | 10 | |
| 14 | 2017 | 9 | |
| 15 | 2010 | 9 | |
| 16 | 2014 | 9 | |
| 17 | 2014 | 8 | |
| 18 | 2009 | 8 | |
| 19 | 2007 | 8 | |
| 20 | 2015 | 8 |
About Yasser Mohammad
Yasser Mohammad is a scholar working on Artificial Intelligence, Control and Systems Engineering, Social Psychology, Computer Vision and Pattern Recognition and Signal Processing, having authored 56 papers that have together received 389 indexed citations. Recurring topics across this work include Robot Manipulation and Learning (17 papers), Social Robot Interaction and HRI (13 papers), Reinforcement Learning in Robotics (9 papers), Human Pose and Action Recognition (7 papers), Time Series Analysis and Forecasting (5 papers), Robotics and Automated Systems (5 papers), Anomaly Detection Techniques and Applications (5 papers) and Context-Aware Activity Recognition Systems (5 papers). The work is most often cited by research in Human-Computer Interaction (50 citations), Signal Processing (66 citations), Artificial Intelligence (171 citations), Computer Vision and Pattern Recognition (96 citations) and Social Psychology (94 citations). Yasser Mohammad has collaborated with scholars based in Japan, Egypt and United States. Frequent co-authors include Toyoaki Nishida, Shogo Okada, Kazunori Matsumoto, Keiichiro Hoashi, Atsushi Nakazawa, Panikos Heracleous, Akio Yoneyama, Divesh Lala, Yong Xu and Azzam Sleit. Their work appears in journals such as Applied Intelligence, International Journal of Social Robotics, AI & Society, Autonomous Agents and Multi-Agent Systems and Pattern Recognition Letters.
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.