Prabal Verma

22 papers receiving 804 citations

Hit Papers

Edge AI: A Taxonomy, Systematic Review and Future Directions 2024 · 49 citations
490+2+5Years since publication100200300

Peers

Prabal Verma
Comparison fields: 5 of 96
  • Health Information Management 115
  • Computer Networks and Communications 466
  • Information Systems 267
  • Computer Vision and Pattern Recognition 166
  • Health Informatics 10
Replace Revathi Sundarasekar with:
Revathi Sundarasekar India
Alex Page United States
Behailu Negash Finland
Yazdan Ahmad Qadri South Korea
Dinesh Dash India
Gokulnath Chandra Babu India
Kyungbok Min South Korea
Amit Kishor India
A. S. M. Sanwar Hosen South Korea
Hrudaya Kumar Tripathy India
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Citations per year

Countries citing papers authored by Prabal Verma

Since Specialization
Citations

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

Fields of papers citing papers by Prabal Verma

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 23 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Fog Assisted-IoT Enabled Patient Health Monitoring in Smart Homes
Hit paper breakdown →
2018324
2 2017156
3 201793
4 202351
5
Edge AI: A Taxonomy, Systematic Review and Future Directions
Hit paper breakdown →
202449
6 201825
7 201923
8 201722
9 201718
10 202315
11 202015
12 201714
13 202410
14 20249
15 20198
16 20245
17 20194
18 20243
19 20243
20 20243

About Prabal Verma

Prabal Verma is a scholar working on Computer Networks and Communications, Information Systems, Computer Vision and Pattern Recognition, Artificial Intelligence and Health Information Management, having authored 23 papers that have together received 855 indexed citations. Recurring topics across this work include IoT and Edge/Fog Computing (12 papers), Context-Aware Activity Recognition Systems (5 papers), Artificial Intelligence in Healthcare (4 papers), COVID-19 diagnosis using AI (3 papers), Blockchain Technology Applications and Security (3 papers), Non-Invasive Vital Sign Monitoring (3 papers), Cloud Computing and Resource Management (2 papers) and Anomaly Detection Techniques and Applications (2 papers). The work is most often cited by research in Health Information Management (115 citations), Computer Networks and Communications (466 citations), Information Systems (267 citations), Computer Vision and Pattern Recognition (166 citations) and Health Informatics (10 citations). Prabal Verma has collaborated with scholars based in India, United Kingdom and China. Frequent co-authors include Sandeep K. Sood, Sheetal Kalra, Tawseef Ayoub Shaikh, Sukhpal Singh Gill, Mohit Kumar, Huaming Wu, Ramandeep Singh, Ankush Manocha, Aditya Gupta and Guneet Kaur Walia. Their work appears in journals such as IEEE Transactions on Consumer Electronics, Computer Applications in Engineering Education, Artificial Intelligence in Medicine, Arabian Journal for Science and Engineering and Journal of Parallel and Distributed Computing.

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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