Manish Aggarwal

712 total citations
52 papers, 534 citations indexed

About

Manish Aggarwal is a scholar working on Management Science and Operations Research, Artificial Intelligence and Statistics and Probability. According to data from OpenAlex, Manish Aggarwal has authored 52 papers receiving a total of 534 indexed citations (citations by other indexed papers that have themselves been cited), including 42 papers in Management Science and Operations Research, 20 papers in Artificial Intelligence and 18 papers in Statistics and Probability. Recurrent topics in Manish Aggarwal's work include Multi-Criteria Decision Making (40 papers), Fuzzy Systems and Optimization (18 papers) and Rough Sets and Fuzzy Logic (12 papers). Manish Aggarwal is often cited by papers focused on Multi-Criteria Decision Making (40 papers), Fuzzy Systems and Optimization (18 papers) and Rough Sets and Fuzzy Logic (12 papers). Manish Aggarwal collaborates with scholars based in India, United States and China. Manish Aggarwal's co-authors include M. Hanmandlu, Ali Fallah Tehrani, R. Krishankumar, K. S. Ravichandran, Dragan Pamučar, Muhammet Deveci, Sanjay Kumar Tyagi, K. S. Ravichandran, Witold Pedrycz and Guanrong Chen and has published in prestigious journals such as Expert Systems with Applications, IEEE Access and Renewable Energy.

In The Last Decade

Manish Aggarwal

50 papers receiving 518 citations

Peers

Manish Aggarwal
Hongming Mo China
Bice Cavallo Italy
Rodolfo Lourenzutti Brazil
Min Xue China
Boya Wei China
Xia Liang China
Shi-Fan He China
Zhinan Hao China
Hongming Mo China
Manish Aggarwal
Citations per year, relative to Manish Aggarwal Manish Aggarwal (= 1×) peers Hongming Mo

Countries citing papers authored by Manish Aggarwal

Since Specialization
Citations

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

Fields of papers citing papers by Manish Aggarwal

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Manish Aggarwal

This figure shows the co-authorship network connecting the top 25 collaborators of Manish Aggarwal. A scholar is included among the top collaborators of Manish Aggarwal 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 Manish Aggarwal. Manish Aggarwal 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.
Prakash, Shiv, et al.. (2025). A Secure and Robust Machine Learning Model for Intrusion Detection in Internet of Vehicles. IEEE Access. 13. 20678–20690. 8 indexed citations
2.
Aggarwal, Manish, et al.. (2023). Cloud vendor selection using choice models based on interactive criteria and varying attitudes of experts. Expert Systems with Applications. 239. 122021–122021. 2 indexed citations
3.
Aggarwal, Manish. (2023). An entropy framework for randomness and fuzziness. Expert Systems with Applications. 243. 122431–122431. 3 indexed citations
4.
Aggarwal, Manish. (2022). On Agent-Specific Fuzzy Entropy Functions. IEEE Transactions on Systems Man and Cybernetics Systems. 53(1). 2–11. 5 indexed citations
5.
Aggarwal, Manish. (2022). Representing uncertainty in group decision making through the hesitant information set approach. Soft Computing. 26(7). 3171–3186. 2 indexed citations
6.
Aggarwal, Manish & M. Hanmandlu. (2022). On modeling ambiguity through entropy. International Transactions in Operational Research. 30(3). 1407–1426. 2 indexed citations
7.
Aggarwal, Manish. (2020). Entropy-Based Subjective Choice Models. IEEE Transactions on Knowledge and Data Engineering. 34(5). 2164–2175. 1 indexed citations
8.
Krishankumar, R., Pratibha Rani, K. S. Ravichandran, Manish Aggarwal, & Xindong Peng. (2020). An integrated and discriminative approach for group decision-making with probabilistic linguistic information. Soft Computing. 25(4). 3043–3057. 3 indexed citations
9.
Aggarwal, Manish. (2020). Probit and nested logit models based on fuzzy measure. Iranian journal of fuzzy systems. 17(2). 169–181. 1 indexed citations
10.
Aggarwal, Manish. (2019). A New Family of Fuzzy Discrete Choice Models. IEEE Transactions on Fuzzy Systems. 28(2). 205–214. 1 indexed citations
11.
Aggarwal, Manish & Ali Fallah Tehrani. (2019). Modelling Human Decision Behaviour with Preference Learning. INFORMS journal on computing. 31(2). 318–334. 54 indexed citations
12.
Aggarwal, Manish. (2019). Logit choice models for interactive attributes. Information Sciences. 507. 298–312. 10 indexed citations
13.
Aggarwal, Manish. (2019). Bridging the Gap Between Probabilistic and Fuzzy Entropy. IEEE Transactions on Fuzzy Systems. 28(9). 2175–2184. 16 indexed citations
14.
Aggarwal, Manish. (2019). (1904-5145) Probit and nested logit models based on fuzzy measure. Iranian journal of fuzzy systems. 1 indexed citations
15.
Aggarwal, Manish. (2018). Confidence soft sets and applications in supplier selection. Computers & Industrial Engineering. 127. 614–624. 14 indexed citations
16.
Aggarwal, Manish. (2018). Decision aiding model with entropy-based subjective utility. Information Sciences. 501. 558–572. 8 indexed citations
17.
Aggarwal, Manish, M. Hanmandlu, Mark T. Keane, & Kanad K. Biswas. (2018). Intuitionistic Fuzzy Logit Model of Discrete Choice. IEEE Transactions on Emerging Topics in Computational Intelligence. 3(1). 85–89. 2 indexed citations
18.
Aggarwal, Manish. (2018). Learning of a Decision-Maker’s Preference Zone With an Evolutionary Approach. IEEE Transactions on Neural Networks and Learning Systems. 30(3). 670–682. 4 indexed citations
19.
Aggarwal, Manish. (2018). Preferences-based learning of multinomial logit model. Knowledge and Information Systems. 59(3). 523–538.
20.
Aggarwal, Manish. (2016). On Learning of Choice Models with Interactive Attributes. IEEE Transactions on Knowledge and Data Engineering. 28(10). 2697–2708. 8 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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2026