Evan Pezent

488 citations
13 papers · 332 · h-index 9

Impact in

Papers in

Evan Pezent

13 papers receiving 326 citations

Peers

Evan Pezent
Comparison fields: 5 of 34
  • Human-Computer Interaction 135
  • Rehabilitation 84
  • Cognitive Neuroscience 222
  • Experimental and Cognitive Psychology 44
  • Biomedical Engineering 116
Replace Nadia Garcia-Hernández with:
Nadia Garcia-Hernández Mexico
Assaf Pressman Israel
Takuto Nakamura Japan
Karin A. Buetler Switzerland
Bo Bentsen Denmark
Ioannis Sarakoglou Italy
Simone Ciotti Italy
Michael Raitor United States
Kevin Huang United States
Martin Rohm Germany
Evan Pezent relative to Nadia Garcia-Hernández Mexico Nadia Garcia-Hernández's profile →
Citations per field
00.5×3.0×
Nadia Garcia-Hernández · 1×
Citations per year

Countries citing papers authored by Evan Pezent

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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 14 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.

Border = papers with Evan Pezent Line = papers co-authored together Evan Pezent links everyone, so they are left out of the graph.

All Works

13 of 13 papers shown
#Work
1 2019101
2 201759
3 202037
4 202230
5 201825
6 202023
7 201918
8 20238
9 20228
10 20188
11 20207
12 20235
13 20173

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 332 indexed citations. Recurring topics across this work include Tactile and Sensory Interactions (10 papers), Teleoperation and Haptic Systems (9 papers), Virtual Reality Applications and Impacts (4 papers), Motor Control and Adaptation (4 papers), Muscle activation and electromyography studies (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 (135 citations), Rehabilitation (84 citations), Cognitive Neuroscience (222 citations), Experimental and Cognitive Psychology (44 citations) and Biomedical Engineering (116 citations). Evan Pezent has collaborated with scholars based in United States and Italy. Frequent co-authors include Marcia K. O’Malley, Priyanshu Agarwal, Chad G. Rose, Ashish D. Deshpande, Hrvoje Benko, Majed Samad, Ali Israr, Matteo Bianchi, Simone Fani and Jeffrey M. Yau. Their work appears in journals such as IEEE Transactions on Haptics, IEEE Transactions on Neural Systems and Rehabilitation Engineering, IEEE Transactions on Robotics, SHILAP Revista de lepidopterología 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.

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