M.K. Luhandjula

2.6k total citations · 1 hit paper
28 papers, 1.5k citations indexed

About

M.K. Luhandjula is a scholar working on Control and Systems Engineering, Management Science and Operations Research and Statistics and Probability. According to data from OpenAlex, M.K. Luhandjula has authored 28 papers receiving a total of 1.5k indexed citations (citations by other indexed papers that have themselves been cited), including 23 papers in Control and Systems Engineering, 21 papers in Management Science and Operations Research and 17 papers in Statistics and Probability. Recurrent topics in M.K. Luhandjula's work include Optimization and Mathematical Programming (23 papers), Multi-Criteria Decision Making (19 papers) and Fuzzy Systems and Optimization (17 papers). M.K. Luhandjula is often cited by papers focused on Optimization and Mathematical Programming (23 papers), Multi-Criteria Decision Making (19 papers) and Fuzzy Systems and Optimization (17 papers). M.K. Luhandjula collaborates with scholars based in South Africa, Algeria and Belgium. M.K. Luhandjula's co-authors include Μ.Μ. Gupta, Johan W. Joubert, Masahiro Inuiguchi, H. Ichihashi, Brian Christopher Jones and Febe de Wet and has published in prestigious journals such as European Journal of Operational Research, Information Sciences and Fuzzy Sets and Systems.

In The Last Decade

M.K. Luhandjula

27 papers receiving 1.4k citations

Hit Papers

Studies in Fuzziness and Soft Computing 2013 2026 2017 2021 2013 100 200 300 400
What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

  1. Studies in Fuzziness and Soft Computing
    2013 408 citations M.K. Luhandjula profile →

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
M.K. Luhandjula South Africa 16 926 902 658 286 191 28 1.5k
Jaroslav Ramı́k Czechia 17 1.0k 1.1× 685 0.8× 596 0.9× 291 1.0× 175 0.9× 65 1.5k
Surapati Pramanik India 18 1.2k 1.3× 905 1.0× 331 0.5× 337 1.2× 216 1.1× 101 1.5k
Ichiro Nishizaki Japan 27 1.1k 1.2× 1.2k 1.3× 626 1.0× 672 2.3× 197 1.0× 165 2.0k
M. P. Biswal India 16 720 0.8× 915 1.0× 436 0.7× 186 0.7× 49 0.3× 60 1.1k
Amit Kumar India 20 1.3k 1.4× 1.1k 1.3× 858 1.3× 153 0.5× 145 0.8× 129 1.6k
Stefan Chanas Poland 24 1.5k 1.6× 1.2k 1.3× 825 1.3× 265 0.9× 222 1.2× 37 2.2k
Miguel Delgado Spain 18 1.4k 1.6× 576 0.6× 495 0.8× 634 2.2× 715 3.7× 52 2.1k
E.S. Lee United States 18 689 0.7× 320 0.4× 440 0.7× 153 0.5× 320 1.7× 44 1.3k
Kamal Kumar India 22 1.7k 1.8× 830 0.9× 613 0.9× 427 1.5× 419 2.2× 69 2.0k
Montserrat Casanovas Spain 16 1.3k 1.4× 671 0.7× 568 0.9× 285 1.0× 235 1.2× 49 1.5k

Countries citing papers authored by M.K. Luhandjula

Since Specialization
Citations

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

Fields of papers citing papers by M.K. Luhandjula

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by M.K. Luhandjula. 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 M.K. Luhandjula. The network helps show where M.K. Luhandjula may publish in the future.

Co-authorship network of co-authors of M.K. Luhandjula

This figure shows the co-authorship network connecting the top 25 collaborators of M.K. Luhandjula. A scholar is included among the top collaborators of M.K. Luhandjula 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 M.K. Luhandjula. M.K. Luhandjula 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.
Luhandjula, M.K., et al.. (2021). A Kaleodoscopic View of Fuzzy Stochastic Optimization*. American Journal of Operations Research. 11(6). 283–308.
2.
Joubert, Johan W., et al.. (2016). Inventory management under uncertainty: A military application. Computers & Industrial Engineering. 96. 96–107. 20 indexed citations
3.
Luhandjula, M.K.. (2014). Fuzzy optimization: Milestones and perspectives. Fuzzy Sets and Systems. 274. 4–11. 34 indexed citations
4.
Luhandjula, M.K., et al.. (2012). Chance-Constrained Approaches for Multiobjective Stochastic Linear Programming Problems. American Journal of Operations Research. 2(4). 519–526. 5 indexed citations
5.
Luhandjula, M.K., et al.. (2011). Multiobjective Stochastic Linear Programming: An Overview. American Journal of Operations Research. 1(4). 203–213. 14 indexed citations
6.
Luhandjula, M.K.. (2011). On Fuzzy Random-Valued Optimization. American Journal of Operations Research. 1(4). 259–267. 2 indexed citations
7.
Luhandjula, M.K. & Johan W. Joubert. (2010). On some optimisation models in a fuzzy-stochastic environment. European Journal of Operational Research. 207(3). 1433–1441. 20 indexed citations
8.
Luhandjula, M.K., et al.. (2010). Fifty Years of Integer Programming: A Review of the Solution Approaches. Asia Pacific Business Review. 6(3). 5–15. 8 indexed citations
9.
Luhandjula, M.K.. (2007). Fuzzy Mathematical Programming: Theory, Applications and Extension. 3 indexed citations
10.
Luhandjula, M.K.. (2007). A MONTE CARLO SIMULATION BASED APPROACH FOR STOCHASTIC SEMI-INFINITE MATHEMATICAL PROGRAMMING PROBLEMS. International Journal of Uncertainty Fuzziness and Knowledge-Based Systems. 15(supp02). 139–157. 2 indexed citations
11.
Joubert, Johan W., et al.. (2006). An optimization model for the management of a South African game ranch. Agricultural Systems. 92(1-3). 223–239. 7 indexed citations
12.
Luhandjula, M.K.. (2005). Fuzzy stochastic linear programming: Survey and future research directions. European Journal of Operational Research. 174(3). 1353–1367. 80 indexed citations
13.
Luhandjula, M.K.. (2004). Optimisation under hybrid uncertainty. Fuzzy Sets and Systems. 146(2). 187–203. 53 indexed citations
14.
Luhandjula, M.K. & Μ.Μ. Gupta. (1996). On fuzzy stochastic optimization. Fuzzy Sets and Systems. 81(1). 47–55. 121 indexed citations
15.
Luhandjula, M.K.. (1996). Fuzziness and randomness in an optimization framework. Fuzzy Sets and Systems. 77(3). 291–297. 98 indexed citations
16.
Luhandjula, M.K.. (1989). Fuzzy optimization: An appraisal. Fuzzy Sets and Systems. 30(3). 257–282. 139 indexed citations
17.
Luhandjula, M.K.. (1987). Linear programming with a possibilistic objective function. European Journal of Operational Research. 31(1). 110–117. 33 indexed citations
18.
Luhandjula, M.K.. (1987). Multiple objective programming problems with possibilistic coefficients. Fuzzy Sets and Systems. 21(2). 135–145. 73 indexed citations
19.
Luhandjula, M.K.. (1986). On possibilistic linear programming. Fuzzy Sets and Systems. 18(1). 15–30. 56 indexed citations
20.
Luhandjula, M.K.. (1984). Fuzzy approaches for multiple objective linear fractional optimization. Fuzzy Sets and Systems. 13(1). 11–23. 93 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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