Pushpinder Singh

1.2k total citations
41 papers, 912 citations indexed

About

Pushpinder Singh is a scholar working on Management Science and Operations Research, Statistics and Probability and Control and Systems Engineering. According to data from OpenAlex, Pushpinder Singh has authored 41 papers receiving a total of 912 indexed citations (citations by other indexed papers that have themselves been cited), including 25 papers in Management Science and Operations Research, 15 papers in Statistics and Probability and 14 papers in Control and Systems Engineering. Recurrent topics in Pushpinder Singh's work include Multi-Criteria Decision Making (25 papers), Fuzzy Systems and Optimization (15 papers) and Optimization and Mathematical Programming (14 papers). Pushpinder Singh is often cited by papers focused on Multi-Criteria Decision Making (25 papers), Fuzzy Systems and Optimization (15 papers) and Optimization and Mathematical Programming (14 papers). Pushpinder Singh collaborates with scholars based in India, Czechia and Canada. Pushpinder Singh's co-authors include Amit Kumar, Jagdeep Kaur, Amarpreet Kaur, H. K. Pathak, Rehan Sadiq, Husnain Haider, Solomon Tesfamariam, Waris Ali, Rajesh Kumar Gupta and Rajeev Ruparathna and has published in prestigious journals such as Expert Systems with Applications, Applied Soft Computing and Process Safety and Environmental Protection.

In The Last Decade

Pushpinder Singh

38 papers receiving 839 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Pushpinder Singh India 13 729 428 372 180 153 41 912
Jawad Ali Pakistan 19 808 1.1× 345 0.8× 225 0.6× 195 1.1× 208 1.4× 64 973
Jingguo Dai China 13 927 1.3× 472 1.1× 299 0.8× 206 1.1× 284 1.9× 25 1.1k
Fang Jin China 10 716 1.0× 328 0.8× 240 0.6× 138 0.8× 159 1.0× 14 855
XU Ze-shui China 11 973 1.3× 447 1.0× 364 1.0× 205 1.1× 210 1.4× 21 1.1k
Zhiping Xu China 5 1.2k 1.6× 544 1.3× 445 1.2× 233 1.3× 297 1.9× 8 1.3k
Yingdong He China 15 763 1.0× 398 0.9× 280 0.8× 144 0.8× 182 1.2× 30 864
Ludmila Dymova Poland 18 817 1.1× 255 0.6× 282 0.8× 303 1.7× 173 1.1× 39 1.1k
Pavel Sevastjanov Poland 18 772 1.1× 259 0.6× 288 0.8× 289 1.6× 177 1.2× 37 1.0k
Asad Ali Pakistan 21 930 1.3× 541 1.3× 370 1.0× 201 1.1× 282 1.8× 50 1.2k
Hua Zhao China 16 1.1k 1.5× 468 1.1× 397 1.1× 323 1.8× 279 1.8× 40 1.2k

Countries citing papers authored by Pushpinder Singh

Since Specialization
Citations

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

Fields of papers citing papers by Pushpinder Singh

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Pushpinder Singh

This figure shows the co-authorship network connecting the top 25 collaborators of Pushpinder Singh. A scholar is included among the top collaborators of Pushpinder Singh 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 Pushpinder Singh. Pushpinder Singh 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.
Sharma, Shubham, et al.. (2024). DBU‐Catalyzed Vinylogous Reaction of 3‐Cyano‐4‐methylcoumarins with 3‐Arylsulfonyl‐3‐indolyloxindoles. ChemistrySelect. 9(30). 2 indexed citations
2.
Singh, Pushpinder, et al.. (2023). Consumers’ Attitude Toward Electric Vehicles in India : Mapping Psychological Antecedents and Consequences. Indian Journal of Marketing. 53(6). 8–8.
3.
Gupta, Rajesh Kumar, et al.. (2020). An Inventory Ordering Model with Different Defuzzification Techniques Under Inflation. Journal of Computational and Theoretical Nanoscience. 17(6). 2621–2625. 1 indexed citations
4.
Singh, Pushpinder & Rajeev Ruparathna. (2019). Construction project proposal evaluation under uncertainty: A fuzzy-based approach. Canadian Journal of Civil Engineering. 47(3). 291–300. 1 indexed citations
5.
Singh, Pushpinder, et al.. (2019). A green supply chain model for time quadratic inventory dependent demand and partially backlogging with Weibull deterioration under the finite horizon. AIP conference proceedings. 2080. 60002–60002. 8 indexed citations
6.
Singh, Pushpinder, et al.. (2019). The Fuzzyfied Supply Chain Finite Planning Horizon Model. Journal of Computational and Theoretical Nanoscience. 16(10). 4135–4142. 2 indexed citations
7.
Gupta, Rajesh Kumar, et al.. (2018). Environmental Sustainability with eco-friendly green inventory model under Fuzzy logics considering carbon emission. Journal of Emerging Technologies and Innovative Research. 5(11). 1297-1301–1297-1301. 1 indexed citations
8.
Singh, Pushpinder, et al.. (2017). Replenishment policy for an inventory model under inflation. AIP conference proceedings. 1860. 20035–20035. 5 indexed citations
9.
Singh, Pushpinder, et al.. (2017). A note on “An efficient similarity measure for intuitionistic fuzzy sets”. AIP conference proceedings. 1860. 20031–20031. 1 indexed citations
10.
Singh, Pushpinder. (2015). A Novel Method for Ranking Generalized Fuzzy Numbers. Journal of information science and engineering. 31(4). 1373–1385. 7 indexed citations
11.
Singh, Pushpinder. (2015). Correlation coefficients for picture fuzzy sets. Journal of Intelligent & Fuzzy Systems. 28(2). 591–604. 187 indexed citations
12.
Singh, Pushpinder. (2015). Distance and similarity measures for multiple-attribute decision making with dual hesitant fuzzy sets. Computational and Applied Mathematics. 36(1). 111–126. 54 indexed citations
13.
Singh, Pushpinder, et al.. (2014). A novel method for ranking of vague sets for handling the risk analysis of compressor system. Applied Soft Computing. 26. 202–212. 7 indexed citations
14.
Singh, Pushpinder. (2014). A new method for solving dual hesitant fuzzy assignment problems with restrictions based on similarity measure. Applied Soft Computing. 24. 559–571. 42 indexed citations
15.
Kumar, Amit, et al.. (2013). Risk analysis of combustion system using vague ranking method. Journal of Intelligent & Fuzzy Systems. 24(4). 765–773. 6 indexed citations
16.
Singh, Pushpinder. (2012). A New Approach For the Ranking of Fuzzy Sets With Different Heights. Journal of Applied Research and Technology. 10(6). 16 indexed citations
17.
Kumar, Amit, et al.. (2011). A new approach for ranking nonnormal p-norm trapezoidal fuzzy numbers. Computers & Mathematics with Applications. 61(4). 881–887. 25 indexed citations
18.
Kumar, Amit, Jagdeep Kaur, & Pushpinder Singh. (2010). A new method for solving fully fuzzy linear programming problems. Applied Mathematical Modelling. 35(2). 817–823. 220 indexed citations
19.
Kumar, Amit, et al.. (2010). RM Approach for Ranking of Generalized Trapezoidal Fuzzy Numbers. Fuzzy Information and Engineering. 2(1). 37–47. 34 indexed citations
20.
Kumar, Amit, et al.. (2010). RM approach for ranking of L–R type generalized fuzzy numbers. Soft Computing. 15(7). 1373–1381. 28 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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