P.P. Chaudhuri

91 papers receiving 1.0k citations

Peers

P.P. Chaudhuri
Comparison fields: 5 of 70
  • Computational Theory and Mathematics 754
  • Hardware and Architecture 252
  • Artificial Intelligence 335
  • Computer Networks and Communications 224
  • Computer Vision and Pattern Recognition 189
Replace Dipanwita Roy Chowdhury with:
Dipanwita Roy Chowdhury India
I. Hal Sudborough United States
Serap A. Savari United States
A. Salomaa Finland
Biplab K. Sikdar India
Alí Emre Pusane Türkiye
Salih Ergün Türkiye
Kees A. Schouhamer Immink Netherlands
Elaine B. Barker United States
Mihai Pǎtraşcu United States
P.P. Chaudhuri relative to Dipanwita Roy Chowdhury India Dipanwita Roy Chowdhury's profile →
Citations per field
00.5×2.9×
Dipanwita Roy Chowdhury · 1×
Citations per year

Countries citing papers authored by P.P. Chaudhuri

Since Specialization
Citations

This map shows the geographic impact of P.P. Chaudhuri'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. Chaudhuri 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. Chaudhuri more than expected).

Fields of papers citing papers by P.P. Chaudhuri

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 95 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1994231
2 199356
3 200342
4 199440
5 199440
6 199740
7 199029
8 199527
9 200226
10 200424
11 199924
12 199618
13 200317
14 200417
15 199017
16 199616
17 200516
18 200816
19 200116
20 199315

About P.P. Chaudhuri

P.P. Chaudhuri is a scholar working on Computational Theory and Mathematics, Hardware and Architecture, Electrical and Electronic Engineering, Molecular Biology and Artificial Intelligence, having authored 95 papers that have together received 1.1k indexed citations. Recurring topics across this work include Cellular Automata and Applications (63 papers), VLSI and Analog Circuit Testing (40 papers), DNA and Biological Computing (29 papers), VLSI and FPGA Design Techniques (22 papers), Integrated Circuits and Semiconductor Failure Analysis (12 papers), Algorithms and Data Compression (11 papers), Advanced Data Storage Technologies (10 papers) and Low-power high-performance VLSI design (9 papers). The work is most often cited by research in Computational Theory and Mathematics (754 citations), Hardware and Architecture (252 citations), Artificial Intelligence (335 citations), Computer Networks and Communications (224 citations) and Computer Vision and Pattern Recognition (189 citations). P.P. Chaudhuri has collaborated with scholars based in India, United States and Kuwait. Frequent co-authors include Sukumar Nandi, B.K. Kar, Debashish Chowdhury, Pradipta Maji, Biplab K. Sikdar, Niloy Ganguly, Aloke Kumar Das, Santanu Chattopadhyay, Indranil Gupta and Prasanta K. Nandi. Their work appears in journals such as IEEE Transactions on Computers, Information Sciences, IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems, Computing and The Computer Journal.

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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