Mukesh Kumar

61 papers receiving 318 citations

Peers

Mukesh Kumar
Comparison fields: 5 of 80
  • Management Information Systems 84
  • Surfaces, Coatings and Films 31
  • Strategy and Management 48
  • Statistics, Probability and Uncertainty 18
  • Industrial and Manufacturing Engineering 23
Replace V. Senthil with:
V. Senthil India
Jari O. Partanen Finland
Andrew McKee United Kingdom
Osama Abdulaziz Alamri Saudi Arabia
Max-Olivier Hongler Switzerland
Adrià Salvador Palau United Kingdom
Michael J. Hall United Kingdom
John Liu United States
Saktioto Saktioto Indonesia
Sourav Sengupta India
Mukesh Kumar relative to V. Senthil India V. Senthil's profile →
Citations per field
00.5×2×4×6×7.8×
V. Senthil · 1×
Citations per year

Countries citing papers authored by Mukesh Kumar

Since Specialization
Citations

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

Fields of papers citing papers by Mukesh Kumar

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Mukesh Kumar, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Mukesh Kumar Line = papers co-authored together Mukesh Kumar links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 77 papers — load more, or switch the sort, to bring in the rest.

#Work
1 202220
2 201918
3 201017
4 201915
5 202314
6 202212
7 201912
8 202012
9 201810
10 201910
11 20209
12
An Inventory Model with Inventory Level-Dependent Demand Rate, Deterioration, Partial Backlogging and Decrease in Demand
20089
13 20168
14 20228
15 20218
16 20158
17 20078
18 20198
19 20188
20 20246

About Mukesh Kumar

Mukesh Kumar is a scholar working on Management Information Systems, Surfaces, Coatings and Films, Strategy and Management, Statistics, Probability and Uncertainty and Statistics and Probability, having authored 77 papers that have together received 331 indexed citations. Recurring topics across this work include Supply Chain and Inventory Management (17 papers), Optical Coatings and Gratings (13 papers), Sustainable Supply Chain Management (9 papers), Surface Roughness and Optical Measurements (8 papers), Evolution and Genetic Dynamics (7 papers), Mathematical and Theoretical Epidemiology and Ecology Models (7 papers), Statistical Distribution Estimation and Applications (6 papers) and Reliability and Maintenance Optimization (4 papers). The work is most often cited by research in Management Information Systems (84 citations), Surfaces, Coatings and Films (31 citations), Strategy and Management (48 citations), Statistics, Probability and Uncertainty (18 citations) and Industrial and Manufacturing Engineering (23 citations). Mukesh Kumar has collaborated with scholars based in India, Pakistan and Canada. Frequent co-authors include Amit L. Sharma, Neelam Kumari, Sanjay Jain, Vinod Karar, Teekam Singh, Manoj Sahni, Anand Chauhan, Kanwarpartap Singh Gill, Jainendra Kumar Singh and Harmeet Kaur. Their work appears in journals such as Optik, International Journal of Bifurcation and Chaos, Optical Materials, Symmetry and Journal of Statistical Computation and Simulation.

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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