S. Ravikumar

510 citations
25 papers · 312 · h-index 8

Impact in

Papers in

S. Ravikumar

20 papers receiving 291 citations

Peers

S. Ravikumar
Comparison fields: 5 of 88
  • Health Information Management 18
  • Computer Networks and Communications 79
  • Information Systems 63
  • Computer Vision and Pattern Recognition 56
  • Artificial Intelligence 76
Replace S. Prabu with:
S. Prabu India
Md Saef Ullah Miah Bangladesh
Mahmoud Hussein Egypt
Suman Saha India
Siddharth Patil United States
Kamal Kant Hiran India
Majed Alsafyani Saudi Arabia
Karisma Trinanda Putra Indonesia
Saleh Ali Alomari Jordan
Alfredo Cuesta‐Infante Spain
S. Ravikumar relative to S. Prabu India S. Prabu's profile →
Citations per field
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S. Prabu · 1×
Citations per year

Countries citing papers authored by S. Ravikumar

Since Specialization
Citations

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

Fields of papers citing papers by S. Ravikumar

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 17 scholars most cited alongside S. Ravikumar, 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 S. Ravikumar Line = papers co-authored together S. Ravikumar links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 25 papers — load more, or switch the sort, to bring in the rest.

#Work
1 202086
2 201254
3 202148
4 202227
5 202122
6 202217
7 202215
8 202312
9 20236
10 20236
11 20245
12 20212
13 20242
14 20232
15 20242
16 20252
17 20251
18 20241
19
Privacy-Preserving Universal Authentication Protocol using Hierarchical Key and Group Signature
20131
20 20251

About S. Ravikumar

S. Ravikumar is a scholar working on Computer Networks and Communications, Information Systems, Artificial Intelligence, Building and Construction and Plant Science, having authored 25 papers that have together received 312 indexed citations. Recurring topics across this work include Blockchain Technology Applications and Security (4 papers), IoT and Edge/Fog Computing (4 papers), Internet of Things and AI (4 papers), Traffic Prediction and Management Techniques (3 papers), Smart Agriculture and AI (3 papers), Advanced Authentication Protocols Security (2 papers), Cryptography and Data Security (2 papers) and Autonomous Vehicle Technology and Safety (2 papers). The work is most often cited by research in Health Information Management (18 citations), Computer Networks and Communications (79 citations), Information Systems (63 citations), Computer Vision and Pattern Recognition (56 citations) and Artificial Intelligence (76 citations). S. Ravikumar has collaborated with scholars based in India, United States and Zimbabwe. Frequent co-authors include D. Kavitha, Ranjit Mohan Anjana, Viswanathan Mohan, Mohan Deepa, Manjula Datta, Steven Allender, Anil Kapur, Rajendra Pradeepa, Premila Webster and Vijay Kotra. Their work appears in journals such as Transactions on Emerging Telecommunications Technologies, Expert Systems with Applications, Journal of Field Robotics, Networks and Spatial Economics and Journal of the Science of Food and Agriculture.

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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