Ramesh Kumar Mohapatra

462 citations
33 papers · 243 · h-index 10

Impact in

Papers in

    • Handwritten Text Recognition Techniques 7
    • Advanced Steganography and Watermarking Techniques 7
    • Digital Media Forensic Detection 7
    • Chaos-based Image/Signal Encryption 7
    • Advanced Neural Network Applications 4
    • Image Processing and 3D Reconstruction 4
    • Vehicle License Plate Recognition 8

Ramesh Kumar Mohapatra

28 papers receiving 235 citations

Peers

Ramesh Kumar Mohapatra
Comparison fields: 5 of 54
  • Media Technology 58
  • Computer Vision and Pattern Recognition 112
  • Signal Processing 36
  • Human-Computer Interaction 15
  • Artificial Intelligence 74
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Citations per field
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Citations per year

Countries citing papers authored by Ramesh Kumar Mohapatra

Since Specialization
Citations

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

Fields of papers citing papers by Ramesh Kumar Mohapatra

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Ramesh Kumar Mohapatra. 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 Ramesh Kumar Mohapatra. The network helps show where Ramesh Kumar Mohapatra may publish in the future.

Co-authors

The 15 scholars most cited alongside Ramesh Kumar Mohapatra, 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 Ramesh Kumar Mohapatra Line = papers co-authored together Ramesh Kumar Mohapatra links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 33 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201937
2 201723
3 201921
4 202016
5 201516
6 201514
7 202313
8 202312
9 202311
10 201710
11 20249
12 20157
13 20177
14 20246
15 20236
16 20196
17 20225
18 20175
19 20184
20 20233

About Ramesh Kumar Mohapatra

Ramesh Kumar Mohapatra is a scholar working on Computer Vision and Pattern Recognition, Media Technology, Artificial Intelligence, Information Systems and Signal Processing, having authored 33 papers that have together received 243 indexed citations. Recurring topics across this work include Vehicle License Plate Recognition (8 papers), Handwritten Text Recognition Techniques (7 papers), Advanced Steganography and Watermarking Techniques (7 papers), Digital Media Forensic Detection (7 papers), Chaos-based Image/Signal Encryption (7 papers), Biometric Identification and Security (4 papers), Advanced Neural Network Applications (4 papers) and Image Processing and 3D Reconstruction (4 papers). The work is most often cited by research in Media Technology (58 citations), Computer Vision and Pattern Recognition (112 citations), Signal Processing (36 citations), Human-Computer Interaction (15 citations) and Artificial Intelligence (74 citations). Ramesh Kumar Mohapatra has collaborated with scholars based in India and United States. Frequent co-authors include Ratnakar Dash, Korra Sathya Babu, Banshidhar Majhi, Sanjay Kumar Jena, Santosh Kumar Bharti, Pradeep Kumar, Suman Biswas, Tusar Kanti Mishra, Sandeep Kumar Panda and Saraju P. Mohanty. Their work appears in journals such as Multimedia Tools and Applications, Journal of Information Security and Applications, Pattern Recognition, Computers & Electrical Engineering and Pattern Analysis and Applications.

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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