Sukanto Bhattacharya

1.2k total citations
53 papers, 756 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 756 indexed citations (citations by other indexed papers that have themselves been cited), including 14 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 (8 papers) and Financial Markets and Investment Strategies (5 papers). Sukanto Bhattacharya is often cited by papers focused on Imbalanced Data Classification Techniques (10 papers), Benford’s Law and Fraud Detection (8 papers) and Financial Markets and Investment Strategies (5 papers). Sukanto Bhattacharya collaborates with scholars based in Australia, United States and India. Sukanto Bhattacharya's co-authors include Kuldeep Kumar, Adrian Gepp, Alexander Newman, Achinto Roy, Heather Round, Michael Cohen, Ken Parry, Dongming Xu, Richard E. Hicks and Mohammad Khoshnevisan 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 688 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Sukanto Bhattacharya Australia 11 198 192 126 122 116 53 756
Marcus D. Odom United States 8 504 2.5× 396 2.1× 153 1.2× 107 0.9× 55 0.5× 18 941
Shaio Yan Huang Taiwan 13 257 1.3× 236 1.2× 316 2.5× 223 1.8× 63 0.5× 46 901
William N. Dilla United States 20 332 1.7× 78 0.4× 121 1.0× 106 0.9× 61 0.5× 44 1.1k
Jianrong Yao China 14 111 0.6× 183 1.0× 273 2.2× 135 1.1× 59 0.5× 29 695
Sridhar Ramamoorti United States 12 359 1.8× 63 0.3× 181 1.4× 108 0.9× 61 0.5× 36 848
Don N. Kleinmuntz United States 16 292 1.5× 212 1.1× 168 1.3× 113 0.9× 56 0.5× 27 1.4k
Carl Pacini United States 11 399 2.0× 155 0.8× 237 1.9× 97 0.8× 31 0.3× 54 1.0k
Stewart A. Leech Australia 16 392 2.0× 63 0.3× 81 0.6× 263 2.2× 58 0.5× 40 1.2k
Johan Perols United States 10 471 2.4× 294 1.5× 296 2.3× 366 3.0× 138 1.2× 20 1.3k

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

20 of 20 papers shown
1.
Roy, Achinto, Alexander Newman, Heather Round, & Sukanto Bhattacharya. (2023). Ethical Culture in Organizations: A Review and Agenda for Future Research. Business Ethics Quarterly. 34(1). 97–138. 34 indexed citations
2.
Chatterjee, Bikram, Sukanto Bhattacharya, Grantley Taylor, & Brian West. (2019). Political competition and debt: evidence from New Zealand local governments. Accounting Research Journal. 32(3). 344–361. 7 indexed citations
3.
Parry, Ken, Michael Cohen, Sukanto Bhattacharya, Andrea North‐Samardzic, & Gareth Edwards. (2019). Charismatic leadership: Beyond love and hate and toward a sense of belonging?. Journal of Management & Organization. 25(3). 398–413. 8 indexed citations
4.
Khoshnevisan, Mohammad, et al.. (2017). FMRI studies in neuro-fuzzy and behavioural finance: a case based approach. Investment Management and Financial Innovations. 5(3). 111–121. 1 indexed citations
5.
Parry, Ken, Michael Cohen, & Sukanto Bhattacharya. (2016). Rise of the Machines. Group & Organization Management. 41(5). 571–594. 90 indexed citations
6.
Bhattacharya, Sukanto, et al.. (2014). Minding the greens: Role of dietary salicylates in common behavioural health conditions. Acta Alimentaria. 43(2). 344–356. 1 indexed citations
7.
Singh, Harminder, et al.. (2012). What Does Volume Reveal: A Study of the Indian Single Stock Futures Market. SSRN Electronic Journal. 4 indexed citations
8.
Bhattacharya, Sukanto, et al.. (2011). A practical, distribution-free approach to the classicalnewsboyinventory stocking problem for highly right-skewed but otherwise unknown demand distributions. Journal of Interdisciplinary Mathematics. 14(3). 291–302. 1 indexed citations
9.
Majumdar, Dipanwita & Sukanto Bhattacharya. (2010). Aspect Oriented Requirement Engineering: A Theme Based Vector Orientation Model. Americanae (AECID Library). 2 indexed citations
10.
Bhattacharya, Sukanto, Yonggui Wang, & Dongming Xu. (2010). Beyond Simon’s Means-Ends Analysis: Natural Creativity and the Unanswered ‘Why’ in the Design of Intelligent Systems for Problem-Solving. Minds and Machines. 20(3). 327–347. 4 indexed citations
11.
Sarkar, Anirban, et al.. (2009). Conceptual Level Design of Object Oriented Data Warehouse: Graph Semantic Based Model. Americanae (AECID Library). 7 indexed citations
12.
Bhattacharya, Sukanto, et al.. (2008). Metrics-based Analysis of Requirements for Object-Oriented systems: An empirical approach. Americanae (AECID Library). 3 indexed citations
13.
Sengupta, Sourya, et al.. (2008). A Framework for Component Design using MVC Design Pattern. Americanae (AECID Library). 1 indexed citations
14.
Bhattacharya, Sukanto & Kuldeep Kumar. (2006). A computational exploration of the efficacy of Fibonacci Sequences in Technical analysis and trading. Annals of economics and finance. 7(1). 185–196. 6 indexed citations
15.
Khoshnevisan, Mohammad & Sukanto Bhattacharya. (2005). Neutrosophic information fusion applied to the options market. SHILAP Revista de lepidopterología. 5 indexed citations
16.
Khoshnevisan, Mohammad & Sukanto Bhattacharya. (2003). Neutrosophic information fusion applied to financial market. 1252–1257. 2 indexed citations
17.
Bhattacharya, Sukanto. (2002). From Kautilya to Benford â trends in forensic and investigative accounting. e-publications@bond (Bond University). 1 indexed citations
18.
Allen, Jack & Sukanto Bhattacharya. (2002). Critical trigger mechanism: a modeling paradigm for cognitive science application in the design of artificial learning systems. 13(1). 43–47. 2 indexed citations
19.
Bhattacharya, Sukanto. (2001). Mathematical modelling of a generalized securities market as a binary, stochastic system. Journal of Statistics and Management Systems. 4(2). 137–145. 4 indexed citations
20.
Bhattacharya, Sukanto, et al.. (1993). Longeot test of cognitive development in Indian context. Studies In Educational Evaluation. 19(4). 425–430. 3 indexed citations

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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