Sukanto Bhattacharya

116 total papers · 1.2k total citations
53 papers, 744 citations indexed

About

Sukanto Bhattacharya is a scholar working on Artificial Intelligence, Finance and Economics and Econometrics. According to data from OpenAlex, Sukanto Bhattacharya has authored 53 papers receiving a total of 744 indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Artificial Intelligence, 12 papers in Finance and 12 papers in Economics and Econometrics. Recurrent topics in Sukanto Bhattacharya's work include Imbalanced Data Classification Techniques (10 papers), Benford’s Law and Fraud Detection (7 papers) and Hermeneutics and Narrative Identity (5 papers). Sukanto Bhattacharya is often cited by papers focused on Imbalanced Data Classification Techniques (10 papers), Benford’s Law and Fraud Detection (7 papers) and Hermeneutics and Narrative Identity (5 papers). Sukanto Bhattacharya collaborates with scholars based in Australia, United States and India. Sukanto Bhattacharya's co-authors include Kuldeep Kumar, Adrian Gepp, Achinto Roy, Alexander Newman, Heather Round, Michael Cohen, Ken Parry, Dongming Xu, Richard E. Hicks and Harminder Singh and has published in prestigious journals such as SHILAP Revista de lepidopterología, IEEE Signal Processing Magazine and Decision Support Systems.

In The Last Decade

Sukanto Bhattacharya

50 papers receiving 676 citations

Author Peers

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

Author						Papers	Cites
Sukanto Bhattacharya	193	190	126	120	115	53	744
Anwar Al-Gasaymeh	124 0.6×	164 0.9×	65 0.5×	95 0.8×	54 0.5×	27	796
David Díaz	94 0.5×	83 0.4×	198 1.6×	58 0.5×	161 1.4×	46	871
Shaio Yan Huang	254 1.3×	234 1.2×	313 2.5×	221 1.8×	102 0.9×	46	893
Hamza Alqudah	161 0.8×	226 1.2×	95 0.8×	247 2.1×	49 0.4×	28	801
Wilfried Lemahieu	109 0.6×	225 1.2×	50 0.4×	46 0.4×	145 1.3×	61	730
N Gordini	394 2.0×	123 0.6×	65 0.5×	32 0.3×	60 0.5×	32	645
Nizar Mohammad Alsharari	157 0.8×	114 0.6×	62 0.5×	94 0.8×	28 0.2×	44	777
Jianrong Yao	106 0.5×	178 0.9×	270 2.1×	133 1.1×	48 0.4×	29	683
Mohannad Obeid Al Shbail	234 1.2×	183 1.0×	86 0.7×	154 1.3×	45 0.4×	50	672
Sridhar Ramamoorti	357 1.8×	64 0.3×	181 1.4×	108 0.9×	64 0.6×	36	843

Countries citing papers authored by Sukanto Bhattacharya

Since Specialization

Citations

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

Fields of papers citing papers by Sukanto Bhattacharya

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Sukanto Bhattacharya

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