Ravi Tomar

49 papers receiving 500 citations

Peers

Ravi Tomar
Comparison fields: 5 of 104
  • Health Information Management 40
  • Computer Networks and Communications 159
  • Computer Vision and Pattern Recognition 126
  • Information Systems 136
  • Health Informatics 8
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Sunday Adeola Ajagbe Nigeria
Mohd Hanafi Ahmad Hijazi Malaysia
Ling Wu China
Ashraf Osman Ibrahim Malaysia
Durgesh Srivastava India
Brijesh Kumar Chaurasia India
B. Karthikeyan India
Saraswathy Shamini Gunasekaran Malaysia
Xiaofan Cheng China
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Citations per field
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Citations per year

Countries citing papers authored by Ravi Tomar

Since Specialization
Citations

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

Fields of papers citing papers by Ravi Tomar

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 58 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2020107
2 201671
3 202254
4 202424
5 201724
6 201617
7 202216
8 201616
9 202215
10 202313
11 202113
12 201611
13 202110
14 202110
15 20219
16 20219
17 20179
18 20229
19 20189
20 20228

About Ravi Tomar

Ravi Tomar is a scholar working on Computer Networks and Communications, Electrical and Electronic Engineering, Information Systems, Computer Vision and Pattern Recognition and Artificial Intelligence, having authored 58 papers that have together received 550 indexed citations. Recurring topics across this work include IoT and Edge/Fog Computing (8 papers), Additive Manufacturing and 3D Printing Technologies (6 papers), Mobile Ad Hoc Networks (5 papers), Manufacturing Process and Optimization (4 papers), Opportunistic and Delay-Tolerant Networks (4 papers), Smart Agriculture and AI (4 papers), Blockchain Technology Applications and Security (4 papers) and Vehicular Ad Hoc Networks (VANETs) (4 papers). The work is most often cited by research in Health Information Management (40 citations), Computer Networks and Communications (159 citations), Computer Vision and Pattern Recognition (126 citations), Information Systems (136 citations) and Health Informatics (8 citations). Ravi Tomar has collaborated with scholars based in India, France and United States. Frequent co-authors include Karan Bhatia, Byung‐Gyu Kim, Naveen Chilamkurti, Amar Ramdane-Chérif, Ashutosh Sharma, Fernando Morgado‐Dias, Abhirup Khanna, Hanumat Sastry G, Manish Prateek and T. P. Singh. Their work appears in journals such as Transactions on Emerging Telecommunications Technologies, Neural Computing and Applications, Sustainability, Electronics 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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