T. Nagarajan

1.5k citations
102 papers · 1.1k · h-index 18

Impact in

Papers in

T. Nagarajan

93 papers receiving 990 citations

Peers

T. Nagarajan
Comparison fields: 5 of 77
  • Signal Processing 401
  • Artificial Intelligence 460
  • Experimental and Cognitive Psychology 111
  • Computer Vision and Pattern Recognition 142
  • Control and Systems Engineering 123
Replace Shi-Xiong Zhang with:
Shi-Xiong Zhang China
James M. Gilbert United Kingdom
Hideyuki Sawada Japan
Huaming Wang China
Wei-Cheng Lin Taiwan
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David C. Yates United Kingdom
Zhengxiong Li United States
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Citations per field
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Citations per year

Countries citing papers authored by T. Nagarajan

Since Specialization
Citations

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

Fields of papers citing papers by T. Nagarajan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 102 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2007172
2 200370
3 200758
4 200342
5
A common attribute based unified HTS framework for speech synthesis in Indian languages.
201340
6 201535
7 200432
8 200829
9 200424
10 200024
11
A Review of Micro-EDM
201024
12 202023
13 200922
14 201221
15 201821
16 200920
17 200818
18 200917
19 200317
20 202216

About T. Nagarajan

T. Nagarajan is a scholar working on Artificial Intelligence, Signal Processing, Experimental and Cognitive Psychology, Computer Vision and Pattern Recognition and Control and Systems Engineering, having authored 102 papers that have together received 1.1k indexed citations. Recurring topics across this work include Speech and Audio Processing (53 papers), Speech Recognition and Synthesis (51 papers), Music and Audio Processing (18 papers), Phonetics and Phonology Research (15 papers), Natural Language Processing Techniques (9 papers), Distributed Control Multi-Agent Systems (8 papers), Voice and Speech Disorders (8 papers) and Robotic Path Planning Algorithms (8 papers). The work is most often cited by research in Signal Processing (401 citations), Artificial Intelligence (460 citations), Experimental and Cognitive Psychology (111 citations), Computer Vision and Pattern Recognition (142 citations) and Control and Systems Engineering (123 citations). T. Nagarajan has collaborated with scholars based in India, Malaysia and United States. Frequent co-authors include Hema A. Murthy, M. Singaperumal, P. Vijayalakshmi, M. Sreekumar, Matteo Zoppi, Rezia Molfino, V. Kamakshi Prasad, Rajesh M. Hegde, Ralph Seulin and Douglas O’Shaughnessy. Their work appears in journals such as Speech Communication, Computer Speech & Language, Electronics Letters, IEEE/ACM Transactions on Audio Speech and Language Processing and Proceedings of the Institution of Mechanical Engineers Part C Journal of Mechanical Engineering Science.

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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