Aditya Abhyankar

64 total papers · 912 total citations
43 papers, 572 citations indexed

About

Aditya Abhyankar is a scholar working on Signal Processing, Computer Vision and Pattern Recognition and Safety Research. According to data from OpenAlex, Aditya Abhyankar has authored 43 papers receiving a total of 572 indexed citations (citations by other indexed papers that have themselves been cited), including 29 papers in Signal Processing, 22 papers in Computer Vision and Pattern Recognition and 7 papers in Safety Research. Recurrent topics in Aditya Abhyankar's work include Biometric Identification and Security (26 papers), Face and Expression Recognition (10 papers) and Forensic Fingerprint Detection Methods (7 papers). Aditya Abhyankar is often cited by papers focused on Biometric Identification and Security (26 papers), Face and Expression Recognition (10 papers) and Forensic Fingerprint Detection Methods (7 papers). Aditya Abhyankar collaborates with scholars based in India, United States and South Korea. Aditya Abhyankar's co-authors include Stephanie Schuckers, Lawrence A. Hornak, Natalia A. Schmid, Kulbir Singh, M.G. Takwale, Sung‐Hwan Han, Byung Won Cho, Swapnil B. Ambade, Rajaram S. Mane and Anil V. Ghule and has published in prestigious journals such as SHILAP Revista de lepidopterología, Pattern Recognition and Scripta Materialia.

In The Last Decade

Aditya Abhyankar

36 papers receiving 536 citations

Author Peers

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

Author						Papers	Cites
Aditya Abhyankar	441	244	184	169	86	43	572
Zhaofeng He	385 0.9×	329 1.3×	142 0.8×	51 0.3×	70 0.8×	36	655
Zhuoqun Xu	268 0.6×	190 0.8×	150 0.8×	33 0.2×	64 0.7×	42	524
Eryun Liu	494 1.1×	369 1.5×	162 0.9×	166 1.0×	110 1.3×	37	657
Yue Feng	171 0.4×	162 0.7×	73 0.4×	15 0.1×	33 0.4×	35	502
Juan Tapia	267 0.6×	341 1.4×	53 0.3×	27 0.2×	41 0.5×	56	570
Nasharuddin Zainal	190 0.4×	252 1.0×	88 0.5×	15 0.1×	16 0.2×	65	561
Jen‐Chun Lee	336 0.8×	449 1.8×	96 0.5×	50 0.3×	81 0.9×	26	684
Elham Tabassi	447 1.0×	466 1.9×	110 0.6×	107 0.6×	45 0.5×	27	678
Junyu Niu	118 0.3×	108 0.4×	134 0.7×	12 0.1×	19 0.2×	37	524
Takao Murakami	164 0.4×	103 0.4×	111 0.6×	16 0.1×	12 0.1×	55	637

Countries citing papers authored by Aditya Abhyankar

Since Specialization

Citations

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

Fields of papers citing papers by Aditya Abhyankar

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Aditya Abhyankar

This figure shows the co-authorship network connecting the top 25 collaborators of Aditya Abhyankar. A scholar is included among the top collaborators of Aditya Abhyankar 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 Aditya Abhyankar. Aditya Abhyankar 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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