Evan Pezent
Impact in
- Human-Computer Interaction top 2%
- Virtual Reality Applications and Impacts
- Interactive and Immersive Displays
- Rehabilitation top 5%
- Stroke Rehabilitation and Recovery
Papers in
-
- Tactile and Sensory Interactions 10
- Motor Control and Adaptation 4
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- Teleoperation and Haptic Systems 9
- Co-authors
- Marcia K. O’Malley (11 shared papers)Priyanshu Agarwal (4 shared papers)Ashish D. Deshpande (2 shared papers)Chad G. Rose (2 shared papers)Hrvoje Benko (4 shared papers)Majed Samad (3 shared papers)Ali Israr (3 shared papers)Nick Colonnese (2 shared papers)
- Journals
- IEEE Transactions on Haptics (2 papers)IEEE Transactions on Neural Systems and Rehabilitation Engineering (1 paper)IEEE Transactions on Robotics (1 paper)PubMed (2 papers)CINECA IRIS Institutial research information system (University of Pisa) (1 paper)
- Partner nations
- United StatesItaly
In The Last Decade
Evan Pezent
13 papers receiving 351 citations
Peers
Comparison fields: 5 of 34
- Human-Computer Interaction 147
- Rehabilitation 86
- Cognitive Neuroscience 239
- Experimental and Cognitive Psychology 43
- Mechanical Engineering 109
Countries citing papers authored by Evan Pezent
This map shows the geographic impact of Evan Pezent'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 Evan Pezent with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Evan Pezent more than expected).
Fields of papers citing papers by Evan Pezent
This network shows the impact of papers produced by Evan Pezent. 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 Evan Pezent. The network helps show where Evan Pezent may publish in the future.
Co-authors
The 16 scholars most cited alongside Evan Pezent, 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 | 2019 | 108 | |
| 2 | 2017 | 62 | |
| 3 | 2020 | 41 | |
| 4 | 2022 | 36 | |
| 5 | 2018 | 25 | |
| 6 | 2020 | 24 | |
| 7 | 2019 | 18 | |
| 8 | 2023 | 10 | |
| 9 | 2022 | 10 | |
| 10 | 2018 | 8 | |
| 11 | 2020 | 7 | |
| 12 | 2023 | 6 | |
| 13 | 2017 | 3 |
About Evan Pezent
Evan Pezent is a scholar working on Cognitive Neuroscience, Mechanical Engineering, Human-Computer Interaction, Biomedical Engineering and Rehabilitation, having authored 13 papers that have together received 358 indexed citations. Recurring topics across this work include Tactile and Sensory Interactions (10 papers), Teleoperation and Haptic Systems (9 papers), Muscle activation and electromyography studies (4 papers), Virtual Reality Applications and Impacts (4 papers), Motor Control and Adaptation (4 papers), Stroke Rehabilitation and Recovery (3 papers), Multisensory perception and integration (2 papers) and Interactive and Immersive Displays (1 paper). The work is most often cited by research in Human-Computer Interaction (147 citations), Rehabilitation (86 citations), Cognitive Neuroscience (239 citations), Experimental and Cognitive Psychology (43 citations) and Mechanical Engineering (109 citations). Evan Pezent has collaborated with scholars based in United States and Italy. Frequent co-authors include Marcia K. O’Malley, Priyanshu Agarwal, Ashish D. Deshpande, Chad G. Rose, Hrvoje Benko, Majed Samad, Ali Israr, Nick Colonnese, Matteo Bianchi and Simone Fani. Their work appears in journals such as IEEE Transactions on Haptics, IEEE Transactions on Neural Systems and Rehabilitation Engineering, IEEE Transactions on Robotics, PubMed and CINECA IRIS Institutial research information system (University of Pisa).
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.