S. Pasupathy

5.2k citations
187 papers · 3.5k indexed · h-index 30

S. Pasupathy

169 papers receiving 3.3k citations

Peers

S. Pasupathy
Comparison fields: 5 of 84
  • Computer Networks and Communications 2.1k
  • Signal Processing 554
  • Electrical and Electronic Engineering 2.9k
  • Artificial Intelligence 526
  • Computational Mechanics 283
Replace D. L. Schilling with:
D. L. Schilling United States
D.P. Taylor New Zealand
Marc Moeneclaey Belgium
Gerald Matz Austria
C.N. Georghiades United States
J. E. Mazo United States
G. Ungerboeck Switzerland
M.B. Pursley United States
Timothy N. Davidson Canada
Mahesh K. Varanasi United States
S. Pasupathy relative to D. L. Schilling United States D. L. Schilling's profile →
Citations per field
00.5×
D. L. Schilling · 1×
Citations per year

Countries citing papers authored by S. Pasupathy

Since Specialization
Citations

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

Fields of papers citing papers by S. Pasupathy

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20110
2 20063
3 200524
4 20030
5 20029
6 20021
7 20027
8 199912
9 199553
10 199130
11 19908
12 19876
13
Effects of phase noise on Trellis Coded Differentially Coherent (TCDC) MPSK
19861
14 19868
15
Optimal linear receiver filters for binary digital signals
198211
16
Performance evaluation of generalized MSK
19825
17
On a class of generalized MSK
19818
18 198110
19
Power spectra of correlatively encoded CPFSK
19791
20 19730

About S. Pasupathy

S. Pasupathy is a scholar working on Computer Networks and Communications, Signal Processing and Electrical and Electronic Engineering, having authored 187 papers that have together received 3.5k indexed citations. Recurring topics across this work include Advanced Wireless Communication Techniques (132 papers), Wireless Communication Networks Research (89 papers), Advanced Adaptive Filtering Techniques (33 papers), Error Correcting Code Techniques (29 papers), Blind Source Separation Techniques (27 papers), Cooperative Communication and Network Coding (16 papers), Advanced MIMO Systems Optimization (14 papers) and Speech and Audio Processing (13 papers). The work is most often cited by research in Computer Networks and Communications (2.1k citations), Signal Processing (554 citations) and Electrical and Electronic Engineering (2.9k citations). S. Pasupathy has collaborated with scholars based in Canada, United States and Japan. Frequent co-authors include Frank R. Kschischang, P. Kabal, H. Leib, M. Hatori, Ryuji Kohno, Hiroyuki Imai, Yao Ma, H. Zamiri‐Jafarian, Glenn Gulak and Moshe Eizenman. Their work appears in journals such as IEEE Transactions on Communications, IEEE Transactions on Information Theory, IEEE Journal on Selected Areas in Communications, IEEE Transactions on Vehicular Technology and IEEE Transactions on Wireless Communications.

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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