T.K. Basu

970 citations
97 papers · 687 · h-index 13

Impact in

    • Speech and Audio Processing
    • Music and Audio Processing
    • Blind Source Separation Techniques
    • Antioxidant Activity and Oxidative Stress

Papers in

T.K. Basu

88 papers receiving 618 citations

Peers

T.K. Basu
Comparison fields: 5 of 140
  • Signal Processing 252
  • Biochemistry 40
  • Experimental and Cognitive Psychology 80
  • Artificial Intelligence 192
  • Nutrition and Dietetics 92
Replace Huining Li with:
Huining Li China
Hiroaki Kawabata Japan
Shan Liang China
Huiming Zhang China
Sujin Lee South Korea
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Samaneh Kouchaki United Kingdom
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Citations per field
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Citations per year

Countries citing papers authored by T.K. Basu

Since Specialization
Citations

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

Fields of papers citing papers by T.K. Basu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 97 papers — load more, or switch the sort, to bring in the rest.

#Work
1 200672
2 200857
3
Vitamin C in health and disease
198239
4
Effect of large doses of ascorbic acid in man on some nitrogenous components of urine.
198333
5 200933
6 197527
7 197824
8 197422
9 197518
10 201118
11 200818
12
Vitamin C-aspirin interactions.
198217
13 201215
14 199312
15 200512
16 197611
17
Antioxidants and the prevention of cancer.
199911
18 197310
19 200510
20 20079

About T.K. Basu

T.K. Basu is a scholar working on Artificial Intelligence, Signal Processing, Electrical and Electronic Engineering, Control and Systems Engineering and Experimental and Cognitive Psychology, having authored 97 papers that have together received 687 indexed citations. Recurring topics across this work include Speech and Audio Processing (27 papers), Speech Recognition and Synthesis (26 papers), Music and Audio Processing (20 papers), Vitamin C and Antioxidants Research (6 papers), Cancer, Lipids, and Metabolism (5 papers), Infant Health and Development (5 papers), Power System Optimization and Stability (5 papers) and Control Systems and Identification (4 papers). The work is most often cited by research in Signal Processing (252 citations), Biochemistry (40 citations), Experimental and Cognitive Psychology (80 citations), Artificial Intelligence (192 citations) and Nutrition and Dietetics (92 citations). T.K. Basu has collaborated with scholars based in India, United States and United Kingdom. Frequent co-authors include Aurobinda Routray, Hemant A. Patil, D. Clive Williams, C J Schorah, Debi Prasad Das, Raghunath S. Holambe, Tapas Kumar Bhattacharya, Ronald W. Raven, J.W.T. Dickerson and Nirmalya Sen. Their work appears in journals such as Oncology, International Journal of Speech Technology, Tectonophysics, International Journal of Systems Science and International Journal of Electrical Power & Energy 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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