Prabhakar Krishnan

1.6k citations
51 papers · 747 · h-index 15

Impact in

Papers in

Prabhakar Krishnan

44 papers receiving 731 citations

Peers

Prabhakar Krishnan
Comparison fields: 5 of 77
  • Computer Networks and Communications 322
  • Signal Processing 90
  • Computer Vision and Pattern Recognition 161
  • Artificial Intelligence 226
  • Information Systems 138
Replace Ripon Patgiri with:
Ripon Patgiri India
Beizhan Wang China
Vani Rajasekar India
P. V. G. D. Prasad Reddy India
Osama A. Khashan Jordan
Yunguo Guan Canada
Farzin Yaghmaee Iran
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Citations per field
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Citations per year

Countries citing papers authored by Prabhakar Krishnan

Since Specialization
Citations

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

Fields of papers citing papers by Prabhakar Krishnan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 51 papers — load more, or switch the sort, to bring in the rest.

#Work
1 202190
2 201978
3 202372
4 202144
5 202334
6 201931
7 202231
8 202130
9 202130
10 201928
11 202128
12 202425
13 202023
14 202218
15 202118
16 201814
17 202414
18 202413
19 202412
20 202412

About Prabhakar Krishnan

Prabhakar Krishnan is a scholar working on Computer Networks and Communications, Artificial Intelligence, Computer Vision and Pattern Recognition, Information Systems and Signal Processing, having authored 51 papers that have together received 747 indexed citations. Recurring topics across this work include Software-Defined Networks and 5G (9 papers), Network Security and Intrusion Detection (8 papers), Chaos-based Image/Signal Encryption (8 papers), IoT and Edge/Fog Computing (7 papers), Quantum Computing Algorithms and Architecture (5 papers), Advanced Steganography and Watermarking Techniques (4 papers), Advanced Authentication Protocols Security (4 papers) and Advanced Malware Detection Techniques (4 papers). The work is most often cited by research in Computer Networks and Communications (322 citations), Signal Processing (90 citations), Computer Vision and Pattern Recognition (161 citations), Artificial Intelligence (226 citations) and Information Systems (138 citations). Prabhakar Krishnan has collaborated with scholars based in India, Saudi Arabia and Australia. Frequent co-authors include Kurunandan Jain, Krishnashree Achuthan, Subhasri Duttagupta, Rajkumar Buyya, Sidheswar Routray, A. V. Prabu, Moinak Maiti, A. Balasundaram, Prince Priya Malla and Amjad Aldweesh. Their work appears in journals such as IEEE Transactions on Consumer Electronics, Computer Communications, IEEE Internet of Things Journal, IEEE Access and Future Internet.

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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