Parvati Dev

117 papers receiving 3.6k citations

Peers

Parvati Dev
Comparison fields: 5 of 175
  • Applied Psychology 302
  • Human-Computer Interaction 270
  • Family Practice 61
  • Cognitive Neuroscience 572
  • Clinical Psychology 503
Replace Tad T. Brunyé with:
Tad T. Brunyé United States
Alessandra Gorini Italy
Holly A. Taylor United States
Kenneth O. McGraw United States
Paul Ward United States
Kevin A. Hallgren United States
Barbara A. Wilson United Kingdom
Doug Rohrer United States
S. P. Wong United States
David F Marks United Kingdom
Parvati Dev relative to Tad T. Brunyé United States Tad T. Brunyé's profile →
Citations per field
00.5×2.5×
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 120 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2003391
2 1978345
3 1976275
4 2000221
5 2000203
6 2000195
7 2017181
8 2008169
9 1975162
10 2004144
11 2005144
12 2008123
13 2016104
14 201067
15
Proceedings of the 4th International Conference on Persuasive Technology
200963
16 201752
17 200448
18 200743
19 198642
20
CliniSpace: a multiperson 3D online immersive training environment accessible through a browser.
201139

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 120 papers that have together received 3.9k indexed citations. Recurring topics across this work include Surgical Simulation and Training (20 papers), Innovations in Medical Education (19 papers), Simulation-Based Education in Healthcare (18 papers), Anatomy and Medical Technology (12 papers), Radiology practices and education (9 papers), Eating Disorders and Behaviors (9 papers), Augmented Reality Applications (9 papers) and Electronic Health Records Systems (8 papers). The work is most often cited by research in Applied Psychology (302 citations), Human-Computer Interaction (270 citations), Family Practice (61 citations), Cognitive Neuroscience (572 citations) and Clinical Psychology (503 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, A. Polit, Emilio Bizzi, Pietro Morasso and P Harter. 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, Academic Medicine 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.

Explore authors with similar magnitude of impact