Rishu Arora

1.4k total citations
23 papers, 1.1k citations indexed

About

Rishu Arora is a scholar working on Management Science and Operations Research, Control and Systems Engineering and Computational Theory and Mathematics. According to data from OpenAlex, Rishu Arora has authored 23 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 19 papers in Management Science and Operations Research, 7 papers in Control and Systems Engineering and 5 papers in Computational Theory and Mathematics. Recurrent topics in Rishu Arora's work include Multi-Criteria Decision Making (18 papers), Fuzzy and Soft Set Theory (14 papers) and Optimization and Mathematical Programming (7 papers). Rishu Arora is often cited by papers focused on Multi-Criteria Decision Making (18 papers), Fuzzy and Soft Set Theory (14 papers) and Optimization and Mathematical Programming (7 papers). Rishu Arora collaborates with scholars based in India and South Africa. Rishu Arora's co-authors include Harish Garg, Abhishek Sharma, Neeraj Sharma, Kamal Kumar, Ravinder Pal Singh, Gurminder Singh, Rakesh Chandmal Sharma, Vishal S. Sharma and Neelam Neelam and has published in prestigious journals such as Journal of the Operational Research Society, Artificial Intelligence Review and Engineering Applications of Artificial Intelligence.

In The Last Decade

Rishu Arora

22 papers receiving 1.1k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Rishu Arora India 16 1.0k 404 376 245 185 23 1.1k
Xue-hai Yuan China 13 662 0.6× 243 0.6× 270 0.7× 228 0.9× 248 1.3× 45 776
Tariq Mahmood Pakistan 10 402 0.4× 197 0.5× 98 0.3× 96 0.4× 60 0.3× 18 553
Aliya Fahmi Pakistan 16 577 0.6× 430 1.1× 104 0.3× 255 1.0× 143 0.8× 36 831
Kaiyuan Bai China 14 375 0.4× 195 0.5× 141 0.4× 104 0.4× 134 0.7× 27 530
Mingfang Ni China 8 453 0.4× 303 0.8× 107 0.3× 198 0.8× 98 0.5× 29 591
Mohammed M. Ali Al-Shamiri Saudi Arabia 11 284 0.3× 140 0.3× 85 0.2× 71 0.3× 63 0.3× 67 392
Salih Berkan Aydemı̇r Türkiye 10 168 0.2× 93 0.2× 99 0.3× 41 0.2× 189 1.0× 19 451
Zahid Hussain Pakistan 13 224 0.2× 68 0.2× 119 0.3× 77 0.3× 153 0.8× 34 544
Feiyu Zhu United States 3 237 0.2× 94 0.2× 62 0.2× 128 0.5× 112 0.6× 6 398

Countries citing papers authored by Rishu Arora

Since Specialization
Citations

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

Fields of papers citing papers by Rishu Arora

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Rishu Arora

This figure shows the co-authorship network connecting the top 25 collaborators of Rishu Arora. A scholar is included among the top collaborators of Rishu Arora 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 Rishu Arora. Rishu Arora 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.
Arora, Rishu, et al.. (2025). Selection of the Optimal Health Care Waste Treatment Technology Using Yager Prioritized Arithmetic Operator-Based p, q-Quasirung Orthopair Fuzzy Group Decision-Making Method. Process Integration and Optimization for Sustainability. 9(3). 1001–1020. 2 indexed citations
2.
3.
4.
Kumar, Kamal, et al.. (2024). Strategic Fuzzy Extensions and Decision-making Techniques. 1 indexed citations
5.
Arora, Rishu, et al.. (2023). Symmetry Analysis and Wave Solutions of the Fisher Equation Using Conformal Fractional Derivatives. Journal of Applied Mathematics. 2023. 1–10. 5 indexed citations
6.
7.
Sharma, Abhishek, et al.. (2022). Micro-drill on Al/SiC composite by EDD process: An RSM-MOGOA based hybrid approach. International Journal of Lightweight Materials and Manufacture. 5(4). 564–575. 23 indexed citations
8.
Sharma, Neeraj, Vishal S. Sharma, Rakesh Chandmal Sharma, Rishu Arora, & Abhishek Sharma. (2022). Development of quality microholes by electrical discharge drilling on Al/SiC composite using of Grey-desirability approach. International Journal of Lightweight Materials and Manufacture. 5(2). 267–277. 14 indexed citations
9.
Garg, Harish & Rishu Arora. (2020). Generalized Maclaurin symmetric mean aggregation operators based on Archimedean t-norm of the intuitionistic fuzzy soft set information. Artificial Intelligence Review. 54(4). 3173–3213. 32 indexed citations
10.
Garg, Harish & Rishu Arora. (2020). Algorithms Based on COPRAS and Aggregation Operators with New Information Measures for Possibility Intuitionistic Fuzzy Soft Decision-Making. Mathematical Problems in Engineering. 2020. 1–20. 23 indexed citations
11.
Garg, Harish & Rishu Arora. (2020). TOPSIS method based on correlation coefficient for solving decision-making problems with intuitionistic fuzzy soft set information. AIMS Mathematics. 5(4). 2944–2966. 78 indexed citations
12.
Arora, Rishu & Harish Garg. (2019). Group decision-making method based on prioritized linguistic intuitionistic fuzzy aggregation operators and its fundamental properties. Computational and Applied Mathematics. 38(2). 75 indexed citations
13.
Garg, Harish & Rishu Arora. (2019). Maclaurin symmetric mean aggregation operators based on t-norm operations for the dual hesitant fuzzy soft set. Journal of Ambient Intelligence and Humanized Computing. 11(1). 375–410. 44 indexed citations
14.
Garg, Harish & Rishu Arora. (2018). Dual Hesitant Fuzzy Soft Aggregation Operators and Their Application in Decision-Making. Cognitive Computation. 10(5). 769–789. 70 indexed citations
15.
Garg, Harish & Rishu Arora. (2018). Generalized intuitionistic fuzzy soft power aggregation operator based ont‐norm and their application in multicriteria decision‐making. International Journal of Intelligent Systems. 34(2). 215–246. 77 indexed citations
16.
Arora, Rishu & Harish Garg. (2018). A robust correlation coefficient measure of dual hesitant fuzzy soft sets and their application in decision making. Engineering Applications of Artificial Intelligence. 72. 80–92. 96 indexed citations
17.
Garg, Harish & Rishu Arora. (2017). Generalized and group-based generalized intuitionistic fuzzy soft sets with applications in decision-making. Applied Intelligence. 48(2). 343–356. 115 indexed citations
18.
Garg, Harish & Rishu Arora. (2017). DISTANCE AND SIMILARITY MEASURES FOR DUAL HESITANT FUZZY SOFT SETS AND THEIR APPLICATIONS IN MULTICRITERIA DECISION MAKING PROBLEM. International Journal for Uncertainty Quantification. 7(3). 229–248. 56 indexed citations
19.
Arora, Rishu & Harish Garg. (2017). A robust aggregation operators for multi-criteria decision-making with intuitionistic fuzzy soft set environment. Scientia Iranica. 0(0). 0–0. 89 indexed citations
20.
Garg, Harish & Rishu Arora. (2017). A nonlinear-programming methodology for multi-attribute decision-making problem with interval-valued intuitionistic fuzzy soft sets information. Applied Intelligence. 48(8). 2031–2046. 83 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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