P.S. Gopalakrishnan

1.4k total citations
44 papers, 864 citations indexed

About

P.S. Gopalakrishnan is a scholar working on Artificial Intelligence, Signal Processing and Computer Vision and Pattern Recognition. According to data from OpenAlex, P.S. Gopalakrishnan has authored 44 papers receiving a total of 864 indexed citations (citations by other indexed papers that have themselves been cited), including 27 papers in Artificial Intelligence, 19 papers in Signal Processing and 8 papers in Computer Vision and Pattern Recognition. Recurrent topics in P.S. Gopalakrishnan's work include Speech Recognition and Synthesis (23 papers), Speech and Audio Processing (14 papers) and Music and Audio Processing (10 papers). P.S. Gopalakrishnan is often cited by papers focused on Speech Recognition and Synthesis (23 papers), Speech and Audio Processing (14 papers) and Music and Audio Processing (10 papers). P.S. Gopalakrishnan collaborates with scholars based in United States and India. P.S. Gopalakrishnan's co-authors include D. Nahamoo, L.R. Bahl, Michael Picheny, Dimitri Kanevsky, Arthur Nádas, R. L. Mercer, P.V. de Souza, H. Manohar, Ganesh N. Ramaswamy and P.V. deSouza and has published in prestigious journals such as IEEE Transactions on Information Theory, Journal of Solid State Chemistry and IEEE Transactions on Speech and Audio Processing.

In The Last Decade

P.S. Gopalakrishnan

43 papers receiving 762 citations

Peers

P.S. Gopalakrishnan
Comparison fields: 5 of 79
  • Artificial Intelligence 661
  • Signal Processing 498
  • Computer Vision and Pattern Recognition 153
  • Materials Chemistry 69
  • Electrical and Electronic Engineering 35
Replace Masayuki Nakajima with:
Masayuki Nakajima Japan
C.T. Retter United States
Hadi Amiri Iran
Changliang Li China
Jingya Wang China
Kai-Tat Fung Hong Kong
Lü Zhao China
Stefano Marsi Italy
Risala Tasin Khan Bangladesh
Sandro Schönborn Switzerland
Masayuki Nakajima Japan View profile →
Citations per field, relative to P.S. Gopalakrishnan
P.S. Gopalakrishnan · 1×
Citations per year, relative to P.S. Gopalakrishnan
P.S. Gopalakrishnan · 1×

Countries citing papers authored by P.S. Gopalakrishnan

Since Specialization
Citations

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

Fields of papers citing papers by P.S. Gopalakrishnan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of P.S. Gopalakrishnan

This figure shows the co-authorship network connecting the top 25 collaborators of P.S. Gopalakrishnan. A scholar is included among the top collaborators of P.S. Gopalakrishnan based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with P.S. Gopalakrishnan. P.S. Gopalakrishnan is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
# Work Indexed citations
1 44
2 2
3 3
4 25
5 41
6 34
7 14
8 3
9 26
10 36
11 3
12 16
13 27
14 6
15 16
16
Parallel Approximate Algorithms for the 0-1 Knapsack Problem.
7
17
A Parallel Algorithm for Dominators.
2
18
Computing Tree Functions on Mesh-Connected Computers.
3
19
An Efficient Connected Components Algorithm on a Mesh-Connected Computer.
9
20 7

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.

Explore authors with similar magnitude of impact

Rankless by CCL
2026