T.R.N. Rao

2.5k citations
65 papers · 1.3k · h-index 17

Impact in

Papers in

T.R.N. Rao

55 papers receiving 1.2k citations

Peers

T.R.N. Rao
Comparison fields: 5 of 46
  • Hardware and Architecture 355
  • Artificial Intelligence 748
  • Computer Networks and Communications 381
  • Computational Theory and Mathematics 262
  • Discrete Mathematics and Combinatorics 46
Replace L. Berman with:
L. Berman United States
Hal Wasserman United States
Martin Dietzfelbinger Germany
Linda Pagli Italy
J. Bitner United States
Gregor Leander Germany
Jianxing Yin China
Alan C. H. Ling United States
A. J. Bernstein United States
Nick Reingold United States
T.R.N. Rao relative to L. Berman United States L. Berman's profile →
Citations per field
00.5×3.6×
L. Berman · 1×
Citations per year

Countries citing papers authored by T.R.N. Rao

Since Specialization
Citations

This map shows the geographic impact of T.R.N. Rao'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 T.R.N. Rao with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites T.R.N. Rao more than expected).

Fields of papers citing papers by T.R.N. Rao

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by T.R.N. Rao. 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 T.R.N. Rao. The network helps show where T.R.N. Rao may publish in the future.

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 65 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Error-control coding for computer systems
1989369
2 1993126
3 199180
4 199280
5 197974
6 199459
7 198950
8 199539
9 197832
10 199432
11 198431
12 199323
13 197022
14 198421
15
Error Coding for Arithmetic Processors
201220
16 197118
17 200316
18 196815
19 199515
20 199314

About T.R.N. Rao

T.R.N. Rao is a scholar working on Artificial Intelligence, Electrical and Electronic Engineering, Computer Networks and Communications, Hardware and Architecture and Computational Theory and Mathematics, having authored 65 papers that have together received 1.3k indexed citations. Recurring topics across this work include Coding theory and cryptography (29 papers), VLSI and Analog Circuit Testing (13 papers), Radiation Effects in Electronics (11 papers), graph theory and CDMA systems (9 papers), Cryptography and Residue Arithmetic (7 papers), Cryptographic Implementations and Security (7 papers), Low-power high-performance VLSI design (7 papers) and Advanced Data Storage Technologies (6 papers). The work is most often cited by research in Hardware and Architecture (355 citations), Artificial Intelligence (748 citations), Computer Networks and Communications (381 citations), Computational Theory and Mathematics (262 citations) and Discrete Mathematics and Combinatorics (46 citations). T.R.N. Rao has collaborated with scholars based in United States, Japan and Taiwan. Frequent co-authors include Eiji Fujiwara, G.L. Feng, Gui-Liang Feng, M. Nicolaidis, Dharma P. Agrawal, Óscar García, Magdy Bayoumi, Qutaibah Malluhi, K.K. Tzeng and Victor K. Wei. Their work appears in journals such as IEEE Transactions on Computers, IEEE Transactions on Information Theory, Computer, Journal of the ACM and IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems.

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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