Rohit Puri

2.2k citations
32 papers · 1.5k · h-index 17

Impact in

Papers in

Rohit Puri

31 papers receiving 1.4k citations

Peers

Rohit Puri
Comparison fields: 5 of 51
  • Computer Vision and Pattern Recognition 922
  • Signal Processing 469
  • Computer Networks and Communications 691
  • Electrical and Electronic Engineering 737
  • Artificial Intelligence 255
Replace S.D. Servetto with:
S.D. Servetto United States
A. Aaron United States
R.V. Cox United States
Wai-Tian Tan United States
Anne Aaron United States
Hilmi E. Egilmez United States
David Varodayan United States
J. D. Robbins United States
L. Torres Spain
J.-P. Adoul Canada
Rohit Puri relative to S.D. Servetto United States S.D. Servetto's profile →
Citations per field
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S.D. Servetto · 1×
Citations per year

Countries citing papers authored by Rohit Puri

Since Specialization
Citations

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

Fields of papers citing papers by Rohit Puri

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 24 scholars most cited alongside Rohit Puri, 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 Rohit Puri Line = papers co-authored together Rohit Puri links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 32 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2007218
2 2003187
3 2002102
4 200197
5 200695
6 200493
7 200488
8 200381
9 200577
10 200576
11 200159
12 200451
13 202050
14 201142
15 200228
16 200318
17 200317
18 200216
19 200814
20 200313

About Rohit Puri

Rohit Puri is a scholar working on Computer Vision and Pattern Recognition, Computer Networks and Communications, Electrical and Electronic Engineering, Signal Processing and Artificial Intelligence, having authored 32 papers that have together received 1.5k indexed citations. Recurring topics across this work include Wireless Communication Security Techniques (15 papers), Advanced Data Compression Techniques (12 papers), Video Coding and Compression Technologies (9 papers), Algorithms and Data Compression (7 papers), Cooperative Communication and Network Coding (6 papers), Image and Video Quality Assessment (4 papers), Error Correcting Code Techniques (4 papers) and Peer-to-Peer Network Technologies (3 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (922 citations), Signal Processing (469 citations), Computer Networks and Communications (691 citations), Electrical and Electronic Engineering (737 citations) and Artificial Intelligence (255 citations). Rohit Puri has collaborated with scholars based in United States, Switzerland and United Kingdom. Frequent co-authors include Kannan Ramchandran, Abhik Majumdar, S. Sandeep Pradhan, Prakash Ishwar, V. Bharghavan, Amy R. Reibman, Hamid Jafarkhani, M.T. Orchard, Kang‐Won Lee and Yao Wang. Their work appears in journals such as IEEE Transactions on Information Theory, IEEE Transactions on Circuits and Systems for Video Technology, IEEE Signal Processing Magazine, IEEE Journal on Selected Areas in Communications and IEEE Transactions on Image Processing.

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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