Parvati Dev

108 papers receiving 3.2k citations

Peers

Parvati Dev
Comparison fields: 5 of 173
  • Applied Psychology 284
  • Human-Computer Interaction 214
  • Family Practice 53
  • Clinical Psychology 462
  • Cognitive Neuroscience 433
Replace Tad T. Brunyé with:
Tad T. Brunyé United States
Alessandra Gorini Italy
Holly A. Taylor United States
Kenneth O. McGraw United States
Kevin A. Hallgren United States
Peter McGeorge United Kingdom
Barbara A. Wilson United Kingdom
Paul Ward United States
S. P. Wong United States
David F Marks United Kingdom
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Citations per field
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Tad T. Brunyé · 1×
Citations per year

Countries citing papers authored by Parvati Dev

Since Specialization
Citations

This map shows the geographic impact of Parvati Dev'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 Parvati Dev with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Parvati Dev more than expected).

Fields of papers citing papers by Parvati Dev

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Parvati Dev. 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 Parvati Dev. The network helps show where Parvati Dev may publish in the future.

Co-authors

The 25 scholars most cited alongside Parvati Dev, 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 Parvati Dev Line = papers co-authored together Parvati Dev links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 110 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2003373
2 1976242
3 1978212
4 2000206
5 2000188
6 2000180
7 2017157
8 2008149
9 2004139
10 2005137
11 1975133
12 2008108
13 201698
14 201058
15
Proceedings of the 4th International Conference on Persuasive Technology
200953
16 201748
17 200444
18 200739
19
CliniSpace: a multiperson 3D online immersive training environment accessible through a browser.
201134
20 198634

About Parvati Dev

Parvati Dev is a scholar working on Surgery, Public Health, Environmental and Occupational Health, Physiology, Biomedical Engineering and Computer Vision and Pattern Recognition, having authored 110 papers that have together received 3.4k indexed citations. Recurring topics across this work include Surgical Simulation and Training (19 papers), Simulation-Based Education in Healthcare (17 papers), Innovations in Medical Education (17 papers), Anatomy and Medical Technology (12 papers), Eating Disorders and Behaviors (9 papers), Augmented Reality Applications (9 papers), Electronic Health Records Systems (8 papers) and Health Sciences Research and Education (6 papers). The work is most often cited by research in Applied Psychology (284 citations), Human-Computer Interaction (214 citations), Family Practice (53 citations), Clinical Psychology (462 citations) and Cognitive Neuroscience (433 citations). Parvati Dev has collaborated with scholars based in United States, Canada and Sweden. Frequent co-authors include C. Barr Taylor, Andrew J. Winzelberg, Patricia Youngblood, Denise E. Wilfley, Francis O. Schmitt, W L Heinrichs, P Harter, Heidi Roberts, Cheryl Koopman and Catherine Classen. Their work appears in journals such as Simulation in Healthcare The Journal of the Society for Simulation in Healthcare, Journal of Consulting and Clinical Psychology, International Journal of Eating Disorders, Journal of the American Medical Informatics Association and Academic Emergency Medicine.

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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