Rupak Bhattacharyya

514 total citations
17 papers, 396 citations indexed

About

Rupak Bhattacharyya is a scholar working on Management Science and Operations Research, Statistics and Probability and Control and Systems Engineering. According to data from OpenAlex, Rupak Bhattacharyya has authored 17 papers receiving a total of 396 indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Management Science and Operations Research, 11 papers in Statistics and Probability and 4 papers in Control and Systems Engineering. Recurrent topics in Rupak Bhattacharyya's work include Fuzzy Systems and Optimization (11 papers), Risk and Portfolio Optimization (10 papers) and Multi-Criteria Decision Making (6 papers). Rupak Bhattacharyya is often cited by papers focused on Fuzzy Systems and Optimization (11 papers), Risk and Portfolio Optimization (10 papers) and Multi-Criteria Decision Making (6 papers). Rupak Bhattacharyya collaborates with scholars based in India, Cyprus and Ireland. Rupak Bhattacharyya's co-authors include Samarjit Kar, Pankaj Kumar, Samarjit Kar, Amitava Chatterjee, Swapan Paruya and Suchismita Roy and has published in prestigious journals such as Computers & Mathematics with Applications, Journal of King Saud University - Computer and Information Sciences and Fuzzy Information and Engineering.

In The Last Decade

Rupak Bhattacharyya

14 papers receiving 371 citations

Peers

Rupak Bhattacharyya

MSOR

CSE

FINAN

Hamid Reza Golmakani Iran

Sini Guo China

Garima Mittal India

Jing‐Rung Yu Taiwan

Yong Fang China

János Mayer Switzerland

Zhaolin Hu China

Csaba I. Fábián Hungary

Waichon Lio China

Hamid Reza Golmakani Iran

Rupak Bhattacharyya

251 ×0.8

MSOR

86 ×0.7

90 ×1.0

CSE

98 ×1.3

FINAN

47 ×0.8

Citations per year, relative to Rupak Bhattacharyya Rupak Bhattacharyya (= 1×) peers Hamid Reza Golmakani

Countries citing papers authored by Rupak Bhattacharyya

Since Specialization

Citations

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

Fields of papers citing papers by Rupak Bhattacharyya

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Rupak Bhattacharyya

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

All Works

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17 of 17 papers shown

Bhattacharyya, Rupak, et al.. (2024). A rule-based protein classification approach using normalized distance-based encoding method. Network Modeling Analysis in Health Informatics and Bioinformatics. 13(1).

Bhattacharyya, Rupak, et al.. (2022). Ant Colony Optimization For Maze Solving Problem In The Form Of Nondeterministic Finite Acceptor. SSRN Electronic Journal.

Bhattacharyya, Rupak, et al.. (2020). Fuzzy Membership Function Evaluation by Non-Linear Regression: An Algorithmic Approach. Fuzzy Information and Engineering. 12(4). 412–434. 12 indexed citations

Bhattacharyya, Rupak, et al.. (2016). Stock portfolio selection using Dempster–Shafer evidence theory. Journal of King Saud University - Computer and Information Sciences. 30(2). 223–235. 30 indexed citations

Bhattacharyya, Rupak, et al.. (2016). Artificial Neural Network Based Model for Forecasting of Inflation in India. Fuzzy Information and Engineering. 8(1). 87–100. 29 indexed citations

Bhattacharyya, Rupak. (2015). A Grey Theory Based Multiple Attribute Approach for R&D Project Portfolio Selection. Fuzzy Information and Engineering. 7(2). 211–225. 35 indexed citations

Bhattacharyya, Rupak, et al.. (2013). Entropy-Cost Ratio Maximization Model for Efficient Stock Portfolio Selection Using Interval Analysis. 119–134. 1 indexed citations

Bhattacharyya, Rupak. (2013). Possibilistic Sharpe Ratio Based Novice Portfolio Selection Models. 33–45. 5 indexed citations

Bhattacharyya, Rupak, et al.. (2013). Fuzzy cross-entropy, mean, variance, skewness models for portfolio selection. Journal of King Saud University - Computer and Information Sciences. 26(1). 79–87. 28 indexed citations

10.

Bhattacharyya, Rupak, Amitava Chatterjee, & Samarjit Kar. (2013). Uncertainty theory based multiple objective mean-entropy-skewness stock portfolio selection model with transaction costs. 1(1). 29 indexed citations

11.

Bhattacharyya, Rupak, Amitava Chatterjee, & Samarjit Kar. (2012). Mean-variance-skewness Portfolio Selection Model in General Uncertain Environment. 3. 45–61. 11 indexed citations

12.

Bhattacharyya, Rupak, Pankaj Kumar, & Samarjit Kar. (2011). Fuzzy R&D portfolio selection of interdependent projects. Computers & Mathematics with Applications. 62(10). 3857–3870. 81 indexed citations

13.

Bhattacharyya, Rupak & Samarjit Kar. (2011). Possibilistic mean- variance- skewness portfolio selection models. 8 indexed citations

14.

Bhattacharyya, Rupak, et al.. (2010). Fuzzy mean–variance–skewness portfolio selection models by interval analysis. Computers & Mathematics with Applications. 61(1). 126–137. 90 indexed citations

15.

Bhattacharyya, Rupak, Amitava Chatterjee, & Samarjit Kar. (2010). Uncertainty Theory Based Novel Multi-Objective Optimization Technique Using Embedding Theorem with Application to R & D Project Portfolio Selection. Applied Mathematics. 1(3). 189–199. 25 indexed citations

16.

Chatterjee, Amitava, et al.. (2010). Optimization Of Mean-Semivariance-Skewness Portfolio Selection Model In Fuzzy Random Environment. AIP conference proceedings. 516–521. 2 indexed citations

17.

Bhattacharyya, Rupak, et al.. (2007). Methods of Evaluation and Extraction of Membership Functions--Review with a New Approach. 10 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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