Prabal Verma

22 papers receiving 842 citations

Prabal Verma's Hit Papers

Edge AI: A Taxonomy, Systematic Review and Future Directions 2024 · 65 citations
650+2+5Years since publication100200300

Peers

Prabal Verma
Comparison fields: 5 of 96
  • Health Information Management 111
  • Computer Networks and Communications 468
  • Information Systems 272
  • Health Informatics 11
  • Computer Vision and Pattern Recognition 168
Replace Revathi Sundarasekar with:
Revathi Sundarasekar India
Alex Page United States
Behailu Negash Finland
Yazdan Ahmad Qadri South Korea
Dinesh Dash India
Ahmed S. Salama Egypt
Adel Sulaiman Saudi Arabia
Kyungbok Min South Korea
Hrudaya Kumar Tripathy India
Alaa Awad Abdellatif Qatar
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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 24 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 2017157
3 201794
4
Edge AI: A Taxonomy, Systematic Review and Future Directions
Hit paper breakdown →
202465
5 202352
6 201825
7 201924
8 201723
9 201721
10 202316
11 202015
12 201715
13 202411
14 20249
15 20258
16 20198
17 20247
18 20194
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 24 papers that have together received 889 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), Blockchain Technology Applications and Security (3 papers), Non-Invasive Vital Sign Monitoring (3 papers), COVID-19 diagnosis using AI (3 papers), Anomaly Detection Techniques and Applications (2 papers) and Cloud Computing and Resource Management (2 papers). The work is most often cited by research in Health Information Management (111 citations), Computer Networks and Communications (468 citations), Information Systems (272 citations), Health Informatics (11 citations) and Computer Vision and Pattern Recognition (168 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, Guneet Kaur Walia, Ankush Manocha, Ramandeep Singh and Surendra Kumar. Their work appears in journals such as Computer Applications in Engineering Education, IEEE Transactions on Consumer Electronics, Artificial Intelligence in Medicine, IEEE Wireless Communications and Internet of Things.

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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