Vikram Verma

400 citations
32 papers · 282 · h-index 9

Impact in

Papers in

Vikram Verma

28 papers receiving 265 citations

Peers

Vikram Verma
Comparison fields: 5 of 46
  • Atomic and Molecular Physics, and Optics 203
  • Artificial Intelligence 204
  • Nephrology 36
  • Obstetrics and Gynecology 10
  • Virology 4
Replace Yi-Chan Lee with:
Yi-Chan Lee Taiwan
Yuqian Dong China
Ştefan Popescu Romania
Annelie Lindberg Netherlands
Thorsten Straßel Germany
Catherine Leroux Canada
Toshiaki Sugiura Japan
Yefeng Mei Hong Kong
Luigi Giannelli Italy
J. A. Frey United States
Vikram Verma relative to Yi-Chan Lee Taiwan Yi-Chan Lee's profile →
Citations per field
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Citations per year

Countries citing papers authored by Vikram Verma

Since Specialization
Citations

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

Fields of papers citing papers by Vikram Verma

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 32 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201059
2 201537
3 202026
4 201122
5 202016
6 202015
7 202113
8 197212
9 20209
10 20208
11 20218
12 20217
13 20207
14 20217
15 20236
16 20145
17 20225
18 20215
19 20233
20 20232

About Vikram Verma

Vikram Verma is a scholar working on Atomic and Molecular Physics, and Optics, Artificial Intelligence, Computer Vision and Pattern Recognition, Neurology and Electrical and Electronic Engineering, having authored 32 papers that have together received 282 indexed citations. Recurring topics across this work include Quantum Information and Cryptography (22 papers), Quantum Mechanics and Applications (21 papers), Quantum Computing Algorithms and Architecture (21 papers), Quantum optics and atomic interactions (3 papers), Brain Tumor Detection and Classification (2 papers), Photorefractive and Nonlinear Optics (2 papers), Advanced Neural Network Applications (2 papers) and AI in cancer detection (1 paper). The work is most often cited by research in Atomic and Molecular Physics, and Optics (203 citations), Artificial Intelligence (204 citations), Nephrology (36 citations), Obstetrics and Gynecology (10 citations) and Virology (4 citations). Vikram Verma has collaborated with scholars based in India, United States and China. Frequent co-authors include Hari Prakash, Hira Lal, Ravi S. Singh, Vivette D. D’Agati, Paul E. Klotman, Lewis Kaufman, Xiaobei Feng, Devendra Kumar Mishra, John Cijiang He and Eduardo Farias. Their work appears in journals such as Quantum Information Processing, Optical and Quantum Electronics, IEEE Communications Letters, Journal of Physics A Mathematical and Theoretical and Computers, materials & continua/Computers, materials & continua (Print).

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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