Prateek Verma

808 citations
71 papers · 315 · 1 hit paper · h-index 11

Impact in

Papers in

Prateek Verma

53 papers receiving 298 citations

Prateek Verma's Hit Papers

The role of artificial intelligence in pandemic responses: from epidemiological modeling to vaccine development 2025 · 25 citations
250Years since publication510152025

Peers

Prateek Verma
Comparison fields: 5 of 89
  • Signal Processing 66
  • Health Informatics 6
  • Hardware and Architecture 20
  • Atmospheric Science 41
  • Computer Vision and Pattern Recognition 41
Replace Daniel Moraes with:
Daniel Moraes Brazil
Satyadhyan Chickerur India
Ziqi Zhu China
Siddhartha Nath India
Anirban Das India
Xiaodong Wei China
Konstantinos Katzis Cyprus
Chengcheng Li China
Prateek Verma relative to Daniel Moraes Brazil Daniel Moraes's profile →
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Countries citing papers authored by Prateek Verma

Since Specialization
Citations

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

Fields of papers citing papers by Prateek Verma

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 71 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201928
2
The role of artificial intelligence in pandemic responses: from epidemiological modeling to vaccine development
Hit paper breakdown →
202525
3 201524
4 201623
5 200521
6
DAUGHMAN"S ALGORITHM METHOD FOR IRIS RECOGNITION-A BIOMETRIC APPROACH
201218
7
Hough Transform Method for Iris Recognition-A Biometric Approach
201216
8 202315
9 202315
10 201914
11 201810
12 20188
13 20247
14 20217
15 20236
16 20246
17 20185
18 20155
19 20235
20 20124

About Prateek Verma

Prateek Verma is a scholar working on Information Systems, Health Information Management, Signal Processing, Computer Networks and Communications and Computer Vision and Pattern Recognition, having authored 71 papers that have together received 315 indexed citations. Recurring topics across this work include Artificial Intelligence in Healthcare (8 papers), Cryospheric studies and observations (6 papers), Speech and Audio Processing (5 papers), Music and Audio Processing (4 papers), Brain Tumor Detection and Classification (4 papers), Blockchain Technology Applications and Security (3 papers), Music Technology and Sound Studies (3 papers) and Biometric Identification and Security (3 papers). The work is most often cited by research in Signal Processing (66 citations), Health Informatics (6 citations), Hardware and Architecture (20 citations), Atmospheric Science (41 citations) and Computer Vision and Pattern Recognition (41 citations). Prateek Verma has collaborated with scholars based in India, United States and Germany. Frequent co-authors include Ronald W. Schafer, Sanjay Kumar Ghosh, Atul Prakash, RAAJ Ramsankaran, Praveen Kumar Verma, Swapnil Gundewar, Praveen Kumar, Philipp Müller, Andreas Bulling and Rama Shankar Yadav. Their work appears in journals such as Applied Sciences, Geocarto International, Infection Genetics and Evolution, Alzheimer s & Dementia and Software Practice and Experience.

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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