Abhilash Pandya

1.7k citations
56 papers · 1.2k indexed · h-index 21
Topics
Augmented Reality Applications (17 papers)Surgical Simulation and Training (13 papers)Anatomy and Medical Technology (11 papers)

In The Last Decade

Abhilash Pandya

51 papers receiving 1.2k citations

Peers

Abhilash Pandya
Comparison fields: 5 of 128
  • Biomedical Engineering 483
  • Surgery 231
  • Control and Systems Engineering 227
  • Computer Vision and Pattern Recognition 225
  • Biophysics 147
Replace Bernard Querleux with:
Bernard Querleux France
Jiquan Yang China
Ying Gu China
Yue Chen United States
Junchen Wang China
Shan Jiang China
Guozheng Yan China
Xiaojun Yu China
Hongzan Sun China
Jie Tian China
Abhilash Pandya relative to Bernard Querleux France Bernard Querleux's profile →
Citations per field
00.5×1.5×2.4×
Bernard Querleux · 1×
Citations per year

Countries citing papers authored by Abhilash Pandya

Since Specialization
Citations

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

Fields of papers citing papers by Abhilash Pandya

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Abhilash Pandya

This figure shows the co-authorship network connecting the top 25 collaborators of Abhilash Pandya. A scholar is included among the top collaborators of Abhilash Pandya 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 Abhilash Pandya. Abhilash Pandya is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
#WorkIndexed citations
1 1
2 5
3 2
4 2
5 7
6 4
7 2
8 10
9 30
10 9
11 35
12 26
13 43
14 36
15 31
16 29
17
Development and human factors analysis of neuronavigation vs. augmented reality.
10
18 41
19 134
20 118

About Abhilash Pandya

Abhilash Pandya is a scholar working on Computer Vision and Pattern Recognition, Biophysics and Health Informatics, having authored 56 papers that have together received 1.2k indexed citations. Recurring topics across this work include Augmented Reality Applications (17 papers), Surgical Simulation and Training (13 papers) and Anatomy and Medical Technology (11 papers). The work is most often cited by research in Biophysics (147 citations), Computer Vision and Pattern Recognition (225 citations) and Biomedical Engineering (483 citations). Abhilash Pandya has collaborated with scholars based in United States, Norway and United Kingdom. Frequent co-authors include Richard B. Chase, R. Pérez, Fernando Díaz, Qing Hang Li, Gregory W. Auner, Lucía Zamorano, Le Yi Wang, L. Zamorano, Luke A. Reisner and Hao Ying. Their work appears in journals such as PLoS ONE, Journal of Controlled Release and British Journal of Cancer.

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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