K. Maity

934 total citations
56 papers, 744 citations indexed

About

K. Maity is a scholar working on Management Information Systems, Control and Systems Engineering and Statistics and Probability. According to data from OpenAlex, K. Maity has authored 56 papers receiving a total of 744 indexed citations (citations by other indexed papers that have themselves been cited), including 35 papers in Management Information Systems, 32 papers in Control and Systems Engineering and 25 papers in Statistics and Probability. Recurrent topics in K. Maity's work include Supply Chain and Inventory Management (35 papers), Optimization and Mathematical Programming (31 papers) and Fuzzy Systems and Optimization (25 papers). K. Maity is often cited by papers focused on Supply Chain and Inventory Management (35 papers), Optimization and Mathematical Programming (31 papers) and Fuzzy Systems and Optimization (25 papers). K. Maity collaborates with scholars based in India. K. Maity's co-authors include Manoranjan Maiti, Samarjit Kar, Manas Kumar Maiti, Dipak Kumar Jana, Shyamal Kumar Mondal, Arindam Roy, Tapan Kumar Roy, Ashim Maity, Debashis Panda and Samarjit Kar and has published in prestigious journals such as European Journal of Operational Research, Information Sciences and International Journal of Production Research.

In The Last Decade

K. Maity

56 papers receiving 662 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
K. Maity India 15 474 332 265 207 192 56 744
Md Sadikur Rahman India 15 285 0.6× 186 0.6× 111 0.4× 99 0.5× 64 0.3× 31 549
Mostafijur Rahaman India 14 170 0.4× 85 0.3× 98 0.4× 135 0.7× 83 0.4× 42 409
Soumen Kumar Das India 8 95 0.2× 131 0.4× 140 0.5× 41 0.2× 126 0.7× 10 411
Kweimei Wu Taiwan 6 140 0.3× 83 0.3× 200 0.8× 263 1.3× 335 1.7× 6 506
Dipankar Chakraborty India 15 229 0.5× 190 0.6× 223 0.8× 149 0.7× 212 1.1× 25 470
Sujeet Kumar Singh India 11 53 0.1× 85 0.3× 277 1.0× 145 0.7× 255 1.3× 20 489
Najla Aissaoui Tunisia 6 335 0.7× 291 0.9× 95 0.4× 16 0.1× 314 1.6× 13 596
Xiaoyu Ji China 12 76 0.2× 134 0.4× 119 0.4× 212 1.0× 291 1.5× 32 573
Nguyen Van Hop Vietnam 12 129 0.3× 105 0.3× 127 0.5× 63 0.3× 127 0.7× 35 575
Murat Gülbay Türkiye 6 48 0.1× 65 0.2× 175 0.7× 226 1.1× 305 1.6× 7 597

Countries citing papers authored by K. Maity

Since Specialization
Citations

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

Fields of papers citing papers by K. Maity

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of K. Maity

This figure shows the co-authorship network connecting the top 25 collaborators of K. Maity. A scholar is included among the top collaborators of K. Maity 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 K. Maity. K. Maity 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.
Maity, K., et al.. (2024). Production inventory control model for deteriorating complementary and substitute items with shortage. OPSEARCH. 61(4). 2023–2054. 1 indexed citations
2.
Maity, K., et al.. (2017). A green supply chain production inventory model with uncertain holding cost. International Journal of Process Management and Benchmarking. 7(3). 277–277. 2 indexed citations
3.
4.
Maity, K., et al.. (2017). Use of “e” and “g” operators to a fuzzy production inventory control model for substitute items. RAIRO - Operations Research. 53(2). 473–486. 8 indexed citations
5.
Maity, K., et al.. (2016). RESEARCH ON RELATIONSHIP BETWEEN ECONOMICAL PROFIT AND ENVIRONMENTAL POLLUTION OF IMPERFECT PRODUCTION INVENTORY CONTROL PROBLEM. 35(3). 560–579. 2 indexed citations
6.
Maity, K., et al.. (2016). Application of various control strategies to Japanese encephalitic: A mathematical study with human, pig and mosquito. Mathematical Biosciences. 282. 46–60. 16 indexed citations
7.
Jana, Dipak Kumar, Barun Das, & K. Maity. (2015). Fuzzy rough supply chain model under inflation and credit period with stock dependent consumption rate and partial backlogging shortages via genetic algorithm. International Journal of Computing Science and Mathematics. 6(6). 555–555. 2 indexed citations
8.
Maity, K., et al.. (2015). Multi-item reliability dependent imperfect production inventory optimal control models with dynamic demand under uncertain resource constraint. International Journal of Production Research. 53(16). 4993–5016. 27 indexed citations
9.
Jana, Dipak Kumar, K. Maity, Manoranjan Maiti, & Tapan Kumar Roy. (2014). A Multiobjective Multi-Item Inventory Control Problem in Fuzzy-Rough Environment Using Soft Computing Techniques. Advances in Decision Sciences. 2014. 1–13. 4 indexed citations
10.
Jana, Dipak Kumar, K. Maity, & Tapan Kumar Roy. (2013). Multi-item production inventory model with fuzzy rough coefficients via geometric programming approach. OPSEARCH. 50(4). 475–490. 7 indexed citations
11.
Maity, Ashim, et al.. (2011). Multi-item multi-period optimal production problem with variable preparation time in fuzzy stochastic environment. Applied Mathematical Modelling. 35(9). 4341–4353. 18 indexed citations
12.
Maity, K.. (2010). Possibility and necessity representations of fuzzy inequality and its application to two warehouse production-inventory problem. Applied Mathematical Modelling. 35(3). 1252–1263. 33 indexed citations
13.
Maity, K., et al.. (2009). Optimal production inventory policy for defective items with fuzzy time period. Applied Mathematical Modelling. 34(3). 810–822. 24 indexed citations
14.
Bera, Uttam Kumar, K. Maity, & Manoranjan Maiti. (2008). Production remanufacturing control problem for defective item under possibility constrains. International Journal of Operational Research. 3(5). 515–515. 6 indexed citations
15.
Maity, K.. (2008). Possibility and necessity constraints and their uses in inventory control system. International Journal of Operational Research. 3(6). 665–665. 3 indexed citations
16.
Maity, K., et al.. (2007). A two warehouse supply-chain model under possibility/ necessity/credibility measures. Mathematical and Computer Modelling. 46(3-4). 398–409. 66 indexed citations
17.
Maity, K. & Manoranjan Maiti. (2007). A numerical approach to a multi-objective optimal inventory control problem for deteriorating multi-items under fuzzy inflation and discounting. Computers & Mathematics with Applications. 55(8). 1794–1807. 46 indexed citations
18.
Maity, Ashim, K. Maity, & Manoranjan Maiti. (2007). A production–recycling–inventory system with imprecise holding costs. Applied Mathematical Modelling. 32(11). 2241–2253. 14 indexed citations
19.
Maity, Ashim, K. Maity, Shyamal Kumar Mondal, & Manoranjan Maiti. (2006). A Chebyshev approximation for solving the optimal production inventory problem of deteriorating multi-item. Mathematical and Computer Modelling. 45(1-2). 149–161. 19 indexed citations
20.
Maity, K. & Manoranjan Maiti. (2005). Numerical Approach of Multi-Objective Optimal Control Problem in Imprecise Environment. Fuzzy Optimization and Decision Making. 4(4). 313–330. 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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