P. P. Deepthi

553 citations
61 papers · 391 · h-index 9

Impact in

Papers in

P. P. Deepthi

54 papers receiving 366 citations

Peers

P. P. Deepthi
Comparison fields: 5 of 49
  • Computer Vision and Pattern Recognition 140
  • Computer Networks and Communications 150
  • Information Systems 104
  • Artificial Intelligence 110
  • Acoustics and Ultrasonics 3
Replace Xiaochen Lian with:
Xiaochen Lian China
Valerio Bioglio France
Mustapha Djeddou Algeria
Shuo Shao China
Jürgen Freudenberger Germany
Mike Clark United States
Sameer Pawar United States
Kent W. Nixon United States
Nan Ma China
P. P. Deepthi relative to Xiaochen Lian China Xiaochen Lian's profile →
Citations per field
00.5×3.8×
Xiaochen Lian · 1×
Citations per year

Countries citing papers authored by P. P. Deepthi

Since Specialization
Citations

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

Fields of papers citing papers by P. P. Deepthi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 19 scholars most cited alongside P. P. Deepthi, 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 P. P. Deepthi Line = papers co-authored together P. P. Deepthi links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 61 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201882
2 201734
3 200831
4 201925
5 202219
6 200814
7 200813
8 200813
9 201910
10 20188
11 20138
12 20138
13 20088
14 20127
15 20126
16 20165
17 20215
18 20215
19 20145
20 20145

About P. P. Deepthi

P. P. Deepthi is a scholar working on Artificial Intelligence, Electrical and Electronic Engineering, Computer Vision and Pattern Recognition, Computer Networks and Communications and Information Systems, having authored 61 papers that have together received 391 indexed citations. Recurring topics across this work include Chaos-based Image/Signal Encryption (16 papers), Coding theory and cryptography (15 papers), Cryptographic Implementations and Security (12 papers), Error Correcting Code Techniques (11 papers), Wireless Communication Security Techniques (10 papers), Advanced Wireless Communication Technologies (9 papers), Cooperative Communication and Network Coding (8 papers) and Sparse and Compressive Sensing Techniques (7 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (140 citations), Computer Networks and Communications (150 citations), Information Systems (104 citations), Artificial Intelligence (110 citations) and Acoustics and Ultrasonics (3 citations). P. P. Deepthi has collaborated with scholars based in India, United States and Italy. Frequent co-authors include P. S. Sathidevi, Sudhish N. George, B. Sundar Rajan, Subeesh Vasu, Niranjan Raj, M Girish Chandra, S. Aruna Deepthi, Rajgopal Srinivasan, Khang Wen Goh and Pradeep Gopalakrishna. Their work appears in journals such as IEEE Transactions on Vehicular Technology, Journal of Visual Communication and Image Representation, Transactions on Emerging Telecommunications Technologies, Computers & Electrical Engineering and IEEE Transactions on Circuits & Systems II Express Briefs.

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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