Mukesh Soni

103 papers receiving 1.5k citations

Peers

Mukesh Soni
Comparison fields: 5 of 128
  • Health Informatics 28
  • Computer Networks and Communications 379
  • Information Systems 342
  • Artificial Intelligence 483
  • Health Information Management 50
Replace Hela Elmannai with:
Hela Elmannai Saudi Arabia
Dac‐Nhuong Le Vietnam
Ali Safaa Sadiq United Kingdom
R. Manikandan India
Anurag Shrivastava India
Arpit Jain India
Salil Bharany India
Rizwan Patan India
Suliman Mohamed Fati Saudi Arabia
Mubarak Alrashoud Saudi Arabia
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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-authors

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

Showing the 20 most-cited of 123 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2020178
2 202197
3 202191
4 202165
5 201858
6 202155
7 202148
8 202048
9 202243
10 202040
11 202039
12 202238
13 201837
14 202236
15 202135
16 201829
17 202127
18 202126
19 202325
20 202224

About Mukesh Soni

Mukesh Soni is a scholar working on Artificial Intelligence, Computer Networks and Communications, Information Systems, Computer Vision and Pattern Recognition and Electrical and Electronic Engineering, having authored 123 papers that have together received 1.5k indexed citations. Recurring topics across this work include Blockchain Technology Applications and Security (18 papers), IoT and Edge/Fog Computing (13 papers), Advanced Authentication Protocols Security (8 papers), Privacy-Preserving Technologies in Data (8 papers), COVID-19 diagnosis using AI (8 papers), Vehicular Ad Hoc Networks (VANETs) (7 papers), Artificial Intelligence in Healthcare (6 papers) and Traffic Prediction and Management Techniques (6 papers). The work is most often cited by research in Health Informatics (28 citations), Computer Networks and Communications (379 citations), Information Systems (342 citations), Artificial Intelligence (483 citations) and Health Information Management (50 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, Ihtiram Raza Khan, Anuj Kumar Jain, Pankaj Kumar, Tejas Patel, Trupil Limbasiya and Mohammad Dehghani. Their work appears in journals such as IEEE Transactions on Consumer Electronics, IEEE Transactions on Intelligent Transportation Systems, IEEE Transactions on Computational Social Systems, Physical Communication and Wireless Personal Communications.

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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