C. Chandra Sekhar

116 total papers · 780 total citations
66 papers, 444 citations indexed

About

C. Chandra Sekhar is a scholar working on Artificial Intelligence, Signal Processing and Computer Vision and Pattern Recognition. According to data from OpenAlex, C. Chandra Sekhar has authored 66 papers receiving a total of 444 indexed citations (citations by other indexed papers that have themselves been cited), including 43 papers in Artificial Intelligence, 41 papers in Signal Processing and 22 papers in Computer Vision and Pattern Recognition. Recurrent topics in C. Chandra Sekhar's work include Speech and Audio Processing (28 papers), Speech Recognition and Synthesis (23 papers) and Music and Audio Processing (14 papers). C. Chandra Sekhar is often cited by papers focused on Speech and Audio Processing (28 papers), Speech Recognition and Synthesis (23 papers) and Music and Audio Processing (14 papers). C. Chandra Sekhar collaborates with scholars based in India, Switzerland and Australia. C. Chandra Sekhar's co-authors include A. D. Dileep, B. Yegnanarayana, S. Chandrakala, V. Srinivasa Chakravarthy, Suryakanth V. Gangashetty, R. Anitha, Roya Rozati, Hema A. Murthy, Shri Kant and Nauman Dawalatabad and has published in prestigious journals such as SHILAP Revista de lepidopterología, Fuzzy Sets and Systems and Applied Soft Computing.

In The Last Decade

C. Chandra Sekhar

61 papers receiving 414 citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author						Papers	Cites
C. Chandra Sekhar	249	218	175	63	42	66	444
Suphakant Phimoltares	145 0.6×	64 0.3×	132 0.8×	15 0.2×	21 0.5×	51	418
Wen-Huang Cheng	129 0.5×	61 0.3×	296 1.7×	20 0.3×	74 1.8×	49	469
Nadir Farah	206 0.8×	60 0.3×	243 1.4×	47 0.7×	23 0.5×	52	480
Seong Tae Kim	176 0.7×	77 0.4×	185 1.1×	21 0.3×	22 0.5×	54	421
Amit Das	231 0.9×	109 0.5×	186 1.1×	48 0.8×	21 0.5×	49	461
Mouldi Bedda	265 1.1×	127 0.6×	80 0.5×	28 0.4×	6 0.1×	44	384
Sanjeev Sharma	119 0.5×	49 0.2×	218 1.2×	46 0.7×	8 0.2×	63	467
Youtian Du	117 0.5×	115 0.5×	233 1.3×	11 0.2×	14 0.3×	37	430
Jia Wei	220 0.9×	73 0.3×	199 1.1×	31 0.5×	4 0.1×	39	442
A. Vadivel	150 0.6×	29 0.1×	289 1.7×	54 0.9×	24 0.6×	102	482

Countries citing papers authored by C. Chandra Sekhar

Since Specialization

Citations

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

Fields of papers citing papers by C. Chandra Sekhar

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by C. Chandra Sekhar. 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 C. Chandra Sekhar. The network helps show where C. Chandra Sekhar may publish in the future.

Co-authorship network of co-authors of C. Chandra Sekhar

This figure shows the co-authorship network connecting the top 25 collaborators of C. Chandra Sekhar. A scholar is included among the top collaborators of C. Chandra Sekhar 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 C. Chandra Sekhar. C. Chandra Sekhar is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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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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