Hooman Hedayati
- Computer Vision and Pattern Recognition top 5%
- Human-Computer Interaction top 2%
- Social Psychology top 10%
- Control and Systems Engineering top 5%
- Mechanical Engineering
- Co-authors
- Daniel SzafırMichael E. WalkerJennifer LeeRyo SuzukiTian XiaNicolai MarquardtSean AndristMark D. Gross
- Topics
- Virtual Reality Applications and Impacts (5 papers)Social Robot Interaction and HRI (5 papers)Augmented Reality Applications (4 papers)
- Journals
- Frontiers in Robotics and AICHI Conference on Human Factors in Computing Systems2021 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS)
- Partner nations
- United StatesCanadaUnited Kingdom
In The Last Decade
Hooman Hedayati
12 papers receiving 508 citations
Peers
Comparison fields: 5 of 60
- Computer Vision and Pattern Recognition 249
- Human-Computer Interaction 188
- Social Psychology 181
- Control and Systems Engineering 175
- Mechanical Engineering 153
Countries citing papers authored by Hooman Hedayati
This map shows the geographic impact of Hooman Hedayati'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 Hooman Hedayati with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Hooman Hedayati more than expected).
Fields of papers citing papers by Hooman Hedayati
This network shows the impact of papers produced by Hooman Hedayati. 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 Hooman Hedayati. The network helps show where Hooman Hedayati may publish in the future.
Co-authorship network of co-authors of Hooman Hedayati
This figure shows the co-authorship network connecting the top 25 collaborators of Hooman Hedayati. A scholar is included among the top collaborators of Hooman Hedayati 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 Hooman Hedayati. Hooman Hedayati is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 2 | |
| 2 | 6 | |
| 3 | 121 | |
| 4 | 1 | |
| 5 | 1 | |
| 6 | 5 | |
| 7 | 11 | |
| 8 | 98 | |
| 9 | 18 | |
| 10 | 153 | |
| 11 | 113 | |
| 12 | 1 |
About Hooman Hedayati
Hooman Hedayati is a scholar working on Human-Computer Interaction, Computer Vision and Pattern Recognition and Transportation, having authored 12 papers that have together received 530 indexed citations. Recurring topics across this work include Virtual Reality Applications and Impacts (5 papers), Social Robot Interaction and HRI (5 papers) and Augmented Reality Applications (4 papers). The work is most often cited by research in Human-Computer Interaction (188 citations), Computer Vision and Pattern Recognition (249 citations) and Social Psychology (181 citations). Hooman Hedayati has collaborated with scholars based in United States, Canada and United Kingdom. Frequent co-authors include Daniel Szafır, Michael E. Walker, Jennifer Lee, Ryo Suzuki, Tian Xia, Nicolai Marquardt, Sean Andrist, Mark D. Gross, James Kennedy and Tamara Sumner. Their work appears in journals such as Frontiers in Robotics and AI, CHI Conference on Human Factors in Computing Systems and 2021 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS).
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.