Pavan Kumar

726 total citations
61 papers, 461 citations indexed

About

Pavan Kumar is a scholar working on Control and Systems Engineering, Management Science and Operations Research and Management Information Systems. According to data from OpenAlex, Pavan Kumar has authored 61 papers receiving a total of 461 indexed citations (citations by other indexed papers that have themselves been cited), including 24 papers in Control and Systems Engineering, 17 papers in Management Science and Operations Research and 12 papers in Management Information Systems. Recurrent topics in Pavan Kumar's work include Optimization and Mathematical Programming (24 papers), Multi-Criteria Decision Making (16 papers) and Supply Chain and Inventory Management (12 papers). Pavan Kumar is often cited by papers focused on Optimization and Mathematical Programming (24 papers), Multi-Criteria Decision Making (16 papers) and Supply Chain and Inventory Management (12 papers). Pavan Kumar collaborates with scholars based in India, Egypt and Saudi Arabia. Pavan Kumar's co-authors include Debashis Dutta, Rabia Musheer Aziz, Hamiden Abd El‐Wahed Khalifa, Akash Saxena, Annapurna Bhargava, Navneet Kumar Verma, Abrar Yaqoob, Praveen Lalwani, Seyedali Mirjalili and Florentín Smarandache and has published in prestigious journals such as SHILAP Revista de lepidopterología, Blood and Cancer Research.

In The Last Decade

Pavan Kumar

52 papers receiving 443 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Pavan Kumar India 12 134 119 105 90 60 61 461
Dharmashankar Subramanian United States 13 173 1.3× 110 0.9× 147 1.4× 93 1.0× 44 0.7× 75 736
Tai-Yue Wang Taiwan 11 130 1.0× 133 1.1× 143 1.4× 74 0.8× 114 1.9× 18 531
Rashad Rafik Aliev Azerbaijan 8 155 1.2× 194 1.6× 176 1.7× 106 1.2× 86 1.4× 12 508
C. Robert Kenley United States 10 132 1.0× 179 1.5× 139 1.3× 58 0.6× 52 0.9× 35 664
Songtao Zhang China 11 70 0.5× 57 0.5× 79 0.8× 83 0.9× 83 1.4× 62 397
Haolun Wang China 14 113 0.8× 71 0.6× 292 2.8× 19 0.2× 47 0.8× 32 480
Shunshun Shi China 7 43 0.3× 67 0.6× 118 1.1× 26 0.3× 33 0.6× 12 377
Zhiying Zhang China 11 78 0.6× 63 0.5× 207 2.0× 40 0.4× 50 0.8× 26 416
Taner Bi̇lgi̇ç Türkiye 15 68 0.5× 148 1.2× 175 1.7× 250 2.8× 143 2.4× 32 635
Wang Guoxun China 5 73 0.5× 107 0.9× 231 2.2× 24 0.3× 34 0.6× 8 446

Countries citing papers authored by Pavan Kumar

Since Specialization
Citations

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

Fields of papers citing papers by Pavan Kumar

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Pavan Kumar

This figure shows the co-authorship network connecting the top 25 collaborators of Pavan Kumar. A scholar is included among the top collaborators of Pavan Kumar 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 Pavan Kumar. Pavan Kumar 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.
Kumar, Pavan, et al.. (2025). A genetic algorithm-based approach for a sustainable inventory model in fuzzy environment. Journal of Computational and Applied Mathematics. 475. 117007–117007.
2.
Kumar, Pavan, et al.. (2025). A profit maximization model for sustainable inventory under preservation technology and linear time-dependent holding cost. Croatian Operational Research Review. 16(1). 85–98. 1 indexed citations
3.
Bhurjee, Ajay Kumar, Pankaj Kumar, & Pavan Kumar. (2025). Solution of a bi-level linear programming problem with uncertain parameters and its application. Badania Operacyjne i Decyzje/Operations Research and Decisions. 35(2).
4.
Singh, Ramesh, et al.. (2024). Unveiling the green guardians: Mapping and identification of Azadirachta indica trees with semantic segmentation deep learning neural network technique. The Egyptian Journal of Remote Sensing and Space Science. 27(3). 491–500. 2 indexed citations
5.
Bhargava, Annapurna, et al.. (2023). A Hybrid Marine Predator Sine Cosine Algorithm for Parameter Selection of Hybrid Active Power Filter. Mathematics. 11(3). 598–598. 30 indexed citations
6.
Aziz, Rabia Musheer, et al.. (2023). Modified Genetic Algorithm with Deep Learning for Fraud Transactions of Ethereum Smart Contract. Applied Sciences. 13(2). 697–697. 52 indexed citations
7.
Aziz, Rabia Musheer, et al.. (2023). Novel Cuckoo Search-Based Metaheuristic Approach for Deep Learning Prediction of Depression. Applied Sciences. 13(9). 5322–5322. 30 indexed citations
8.
Kumar, Pavan, et al.. (2023). An Inventory Control Model in the Framework of COVID-19 Disruptions Considering Overage Items with Neutrosophic Fuzzy Uncertainty. SHILAP Revista de lepidopterología. 1 indexed citations
9.
Yaqoob, Abrar, et al.. (2023). A Review on Nature-Inspired Algorithms for Cancer Disease Prediction and Classification. Mathematics. 11(5). 1081–1081. 46 indexed citations
10.
Kumar, Pavan, et al.. (2022). Improved YOLOv3-tiny Object Detector with Dilated CNN for Drone-Captured Images. Figshare. 89–94. 2 indexed citations
12.
Kumar, Pavan, et al.. (2021). Internal Root Resorption: An Endodontic Challenge. International Journal of Current Research and Review. 13(5). 144–147.
13.
Kumar, Pavan. (2021). Optimal policies for inventory model with shortages, time-varying holding and ordering costs in trapezoidal fuzzy environment. Independent Journal of Management & Production. 12(2). 557–574. 7 indexed citations
14.
Kumar, Pavan, et al.. (2021). On characterizing solution for multi-objective fractional two-stage solid transportation problem under fuzzy environment. Journal of Intelligent Systems. 30(1). 620–635. 9 indexed citations
15.
Kumar, Pavan. (2019). An inventory planning problem for time-varying linear demand and parabolic holding cost with salvage value. SHILAP Revista de lepidopterología. 10(2). 187–199. 14 indexed citations
16.
Kumar, Pavan & P. Keerthika. (2019). Inventory Control Model with Time-Linked Holding Cost, Salvage Value and Probabilistic Deterioration following Various Distributions. International Journal of Innovative Technology and Exploring Engineering. 9(2). 4399–4404. 1 indexed citations
17.
Kumar, Pavan. (2019). Statistical Relationship between the Parameters of Some Indexed Journals by Fuzzy Linear Regression. International Journal of Recent Technology and Engineering (IJRTE). 8(3). 4959–4964.
18.
Kumar, Pavan, et al.. (2019). Statistical Relationship between Acceptance Rate and First Decision Time of Some Indexed Journals: A Correlation-Regression Technique. International Journal of Innovative Technology and Exploring Engineering. 8(12). 2781–2786.
19.
Kumar, Pavan. (2019). Application of Correlation-Regression Method to Correlate the Statistical Relationship between the Parameters of Some Indexed Journals. International Journal of Engineering and Advanced Technology. 9(1). 505–509.
20.
Kumar, Pavan. (2016). Multi Criteria Decision Making in Inventory Models by Fuzzy Approaches. 1 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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