Asoke Nath

983 citations
91 papers · 636 · h-index 14

Impact in

Papers in

Asoke Nath

81 papers receiving 547 citations

Peers

Asoke Nath
Comparison fields: 5 of 84
  • Computer Vision and Pattern Recognition 304
  • Computer Science Applications 44
  • Information Systems 156
  • Artificial Intelligence 204
  • Computer Networks and Communications 109
Replace Eric E. Sumner with:
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Asoke Nath relative to Eric E. Sumner United States Eric E. Sumner's profile →
Citations per field
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Citations per year

Countries citing papers authored by Asoke Nath

Since Specialization
Citations

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

Fields of papers citing papers by Asoke Nath

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 91 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Symmetric Key Cryptography Using Random Key Generator.
201051
2 201135
3 201234
4
OPEN AND DISTANCE LEARNING (ODL) EDUCATION SYSTEM: PAST, PRESENT AND FUTURE â A SYSTEMATIC STUDY OF AN ALTERNATIVE EDUCATION SYSTEM
201229
5 201129
6 201227
7 201824
8 201122
9 201220
10 201120
11 201418
12 201118
13 201417
14 201214
15 198713
16 201212
17 201112
18
IMPACT OF GREEN COMPUTING IN IT INDUSTRY TO MAKE ECO FRIENDLY ENVIRONMENT
201410
19 201110
20 20139

About Asoke Nath

Asoke Nath is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition, Information Systems, Computer Networks and Communications and Statistical and Nonlinear Physics, having authored 91 papers that have together received 636 indexed citations. Recurring topics across this work include Chaos-based Image/Signal Encryption (30 papers), Cryptographic Implementations and Security (17 papers), Coding theory and cryptography (12 papers), Advanced Steganography and Watermarking Techniques (11 papers), Nonlinear Dynamics and Pattern Formation (6 papers), Cryptography and Residue Arithmetic (5 papers), Complex Network Analysis Techniques (4 papers) and Quantum Computing Algorithms and Architecture (4 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (304 citations), Computer Science Applications (44 citations), Information Systems (156 citations), Artificial Intelligence (204 citations) and Computer Networks and Communications (109 citations). Asoke Nath has collaborated with scholars based in India, United States and United Kingdom. Frequent co-authors include Joyshree Nath, Somdip Dey, Parag Chatterjee, Deb Shankar Ray, Kalyan Mondal, Amlan Chakrabarti, Joel James, Prabir Kumar Chatterjee, Saptarshi Chatterjee and Arnab Datta. Their work appears in journals such as Chemical Physics Letters, Physics Letters A, International Journal of Environmental Science and Technology, Physical review. B, Condensed matter and physica status solidi (b).

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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