Prashant Vats

68 papers receiving 441 citations

Peers

Prashant Vats
Comparison fields: 5 of 60
  • Media Technology 107
  • Health Informatics 15
  • Information Systems 240
  • General Economics, Econometrics and Finance 44
  • Management Science and Operations Research 61
Replace Jiawei Chen with:
Jiawei Chen China
Hassan Zeineddine United Arab Emirates
Judith Hurwitz
Nguyen B. Truong United Kingdom
Hassan Najadat Jordan
Arash Negahdari Kia Ireland
Jorge Martínez-Gil Austria
Bouchaïb Bounabat Morocco
Swati Ahirrao India
Naoufel Kraïem Tunisia
Prashant Vats relative to Jiawei Chen China Jiawei Chen's profile →
Citations per field
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Jiawei Chen · 1×
Citations per year

Countries citing papers authored by Prashant Vats

Since Specialization
Citations

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

Fields of papers citing papers by Prashant Vats

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 81 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201731
2 202016
3 202215
4 202215
5 202214
6 202214
7 202214
8 202212
9 202211
10 202211
11 202211
12 202211
13 202210
14 201410
15 202310
16 202110
17 20219
18 20229
19 20209
20 20238

About Prashant Vats

Prashant Vats is a scholar working on Information Systems, Computer Networks and Communications, Artificial Intelligence, Software and Computer Vision and Pattern Recognition, having authored 81 papers that have together received 447 indexed citations. Recurring topics across this work include Blockchain Technology Applications and Security (16 papers), Software Testing and Debugging Techniques (11 papers), IoT and Edge/Fog Computing (10 papers), Software Reliability and Analysis Research (9 papers), AI in cancer detection (7 papers), Brain Tumor Detection and Classification (5 papers), Software Engineering Research (5 papers) and Advanced Neural Network Applications (4 papers). The work is most often cited by research in Media Technology (107 citations), Health Informatics (15 citations), Information Systems (240 citations), General Economics, Econometrics and Finance (44 citations) and Management Science and Operations Research (61 citations). Prashant Vats has collaborated with scholars based in India, Saudi Arabia and United Kingdom. Frequent co-authors include Anupam Kumar Sharma, Anjana Gosain, Kamal Upreti, Satnam Kaur, Sandeep Singh, Shweta Choudhary, Prashant Singh, Ashu Jain, Amit Kumar Pandey and Anju Saha. Their work appears in journals such as International Journal of Cooperative Information Systems, European Journal of Education, Biomedical Signal Processing and Control, Recent Patents on Engineering and International Journal of Electronic Healthcare.

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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