Mukesh Soni

3.2k citations
114 papers · 1.4k indexed · h-index 22

Impact in

Papers in

Mukesh Soni

88 papers receiving 1.3k citations

Peers

Mukesh Soni
Comparison fields: 5 of 129
  • Health Informatics 27
  • Computer Networks and Communications 367
  • Artificial Intelligence 472
  • Information Systems 324
  • Health Information Management 48
Replace Hela Elmannai with:
Hela Elmannai Saudi Arabia
Dac‐Nhuong Le Vietnam
Ali Safaa Sadiq United Kingdom
Anurag Shrivastava India
Arpit Jain India
Mubarak Alrashoud Saudi Arabia
Mehdi Gheisari China
Suliman Mohamed Fati Saudi Arabia
Salil Bharany India
Irina V. Pustokhina Russia
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Citations per field
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Citations per year

Countries citing papers authored by Mukesh Soni

Since Specialization
Citations

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

Fields of papers citing papers by Mukesh Soni

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20254
2 20257
3 20251
4 20250
5 20251
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8 20242
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10 20241
11 202415
12 20234
13 20239
14 202324
15 202310
16 202312
17 20230
18 20230
19 202219
20 202126

About Mukesh Soni

Mukesh Soni is a scholar working on Computer Networks and Communications, Information Systems, Artificial Intelligence, Health Information Management and Computer Vision and Pattern Recognition, having authored 114 papers that have together received 1.4k indexed citations. Recurring topics across this work include Blockchain Technology Applications and Security (17 papers), IoT and Edge/Fog Computing (13 papers), COVID-19 diagnosis using AI (8 papers), Privacy-Preserving Technologies in Data (8 papers), Advanced Authentication Protocols Security (8 papers), Vehicular Ad Hoc Networks (VANETs) (7 papers), Traffic Prediction and Management Techniques (6 papers) and Network Security and Intrusion Detection (5 papers). The work is most often cited by research in Health Informatics (27 citations), Computer Networks and Communications (367 citations), Artificial Intelligence (472 citations), Information Systems (324 citations) and Health Information Management (48 citations). Mukesh Soni has collaborated with scholars based in India, Saudi Arabia and United States. Frequent co-authors include Gaurav Dhiman, Dileep Kumar Singh, Ashutosh Sharma, Adam Słowik, Anuj Kumar Jain, Ihtiram Raza Khan, Tejas Patel, Pankaj Kumar, Trupil Limbasiya and Atulya K. Nagar. Their work appears in journals such as IEEE Transactions on Consumer Electronics, IEEE Transactions on Intelligent Transportation Systems, Wireless Personal Communications, Physical Communication and IEEE Transactions on Computational Social Systems.

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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