Garima Verma

790 citations
63 papers · 485 · h-index 13

Impact in

Papers in

Garima Verma

56 papers receiving 452 citations

Peers

Garima Verma
Comparison fields: 5 of 115
  • Information Systems 176
  • Business and International Management 9
  • Artificial Intelligence 140
  • Computer Networks and Communications 95
  • Software 14
Replace Thi Ngoc Trang Tran with:
Thi Ngoc Trang Tran Austria
Abhishek Pandey India
Nirmalie Wiratunga United Kingdom
Maha Saadeh Jordan
Devendra K. Tayal India
Federico Chesani Italy
Ebin Deni Raj India
Sunil Kumar Gupta India
Gerard Deepak India
Rafae Bhatti United States
Garima Verma relative to Thi Ngoc Trang Tran Austria Thi Ngoc Trang Tran's profile →
Citations per field
00.5×3.5×
Thi Ngoc Trang Tran · 1×
Citations per year

Countries citing papers authored by Garima Verma

Since Specialization
Citations

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

Fields of papers citing papers by Garima Verma

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 63 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201844
2 202036
3 202233
4 202133
5 202029
6 202225
7 201423
8 201016
9 202116
10 201915
11 201714
12 202412
13 201912
14 202311
15 202011
16 201911
17 201510
18 202110
19 202210
20 20198

About Garima Verma

Garima Verma is a scholar working on Information Systems, Artificial Intelligence, Computer Networks and Communications, Computer Vision and Pattern Recognition and Social Psychology, having authored 63 papers that have together received 485 indexed citations. Recurring topics across this work include Blockchain Technology Applications and Security (14 papers), Cryptography and Data Security (10 papers), Cloud Data Security Solutions (10 papers), IoT and Edge/Fog Computing (8 papers), Cloud Computing and Resource Management (8 papers), Artificial Intelligence in Healthcare (4 papers), Distributed and Parallel Computing Systems (4 papers) and Chaos-based Image/Signal Encryption (4 papers). The work is most often cited by research in Information Systems (176 citations), Business and International Management (9 citations), Artificial Intelligence (140 citations), Computer Networks and Communications (95 citations) and Software (14 citations). Garima Verma has collaborated with scholars based in India, Australia and United States. Frequent co-authors include Suyel Namasudra, Sudhakar Sengan, M. Vinoth Kumar, Nida Shaikh, Shweta Khandelwal, Karen R. Siegel, Anne Marie Thow, Dilip Kumar Sharma, Nishith Pathak and Omprakash Tanwar. Their work appears in journals such as Wireless Personal Communications, Multimedia Tools and Applications, American Journal of Industrial Medicine, Medicinal Chemistry Research and European Journal of Pharmacology.

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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