M. Ramkumar

539 citations
37 papers · 292 · h-index 10

Impact in

Papers in

M. Ramkumar

32 papers receiving 269 citations

Peers

M. Ramkumar
Comparison fields: 5 of 82
  • Computer Vision and Pattern Recognition 125
  • Health Information Management 17
  • Information Systems 46
  • Artificial Intelligence 61
  • Signal Processing 17
Replace Nidhi Sindhwani with:
Nidhi Sindhwani India
Milan Tripathi Nepal
P. Dayananda India
G. Charlyn Pushpa Latha India
Majed Alsafyani Saudi Arabia
Ranjan Walia India
Mudita Uppal India
Hani Mahdi Egypt
Anup Mohan United States
Kamlesh Lakhwani India
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Citations per field
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Citations per year

Countries citing papers authored by M. Ramkumar

Since Specialization
Citations

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

Fields of papers citing papers by M. Ramkumar

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 37 papers — load more, or switch the sort, to bring in the rest.

#Work
1 202248
2 202236
3 199932
4 200223
5 202222
6 202018
7 200312
8 201210
9 202210
10 20219
11 20029
12 20228
13 20218
14 20025
15 19975
16
Achieving Efficient and Secure Data Acquisition for Cloud-Supported Internet of Things in Grid Connected Solar, Wind and Battery Systems
20185
17 20035
18 20195
19 20153
20 20133

About M. Ramkumar

M. Ramkumar is a scholar working on Computer Vision and Pattern Recognition, Computer Networks and Communications, Artificial Intelligence, Molecular Biology and Information Systems, having authored 37 papers that have together received 292 indexed citations. Recurring topics across this work include Advanced Steganography and Watermarking Techniques (6 papers), Chaos-based Image/Signal Encryption (6 papers), IoT and Edge/Fog Computing (5 papers), Gene expression and cancer classification (4 papers), Gaze Tracking and Assistive Technology (3 papers), Advanced Data Compression Techniques (3 papers), Digital Media Forensic Detection (3 papers) and Image Processing Techniques and Applications (2 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (125 citations), Health Information Management (17 citations), Information Systems (46 citations), Artificial Intelligence (61 citations) and Signal Processing (17 citations). M. Ramkumar has collaborated with scholars based in India, United States and Thailand. Frequent co-authors include Ali N. Akansu, T. Thamaraimanalan, C. Venkatesan, A. Aydın Alatan, N. Yuvaraj, J. Surendiran, R.G. Vidhya, G. V. Anand, P. William and Apurv Verma. Their work appears in journals such as Signal Processing, Materials Today Proceedings, Journal of Computational and Theoretical Nanoscience, Circuits Systems and Signal Processing and ECS Transactions.

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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