Madhu Jain

3.9k total citations
303 papers, 2.9k citations indexed

About

Madhu Jain is a scholar working on Management Information Systems, Safety, Risk, Reliability and Quality and Management Science and Operations Research. According to data from OpenAlex, Madhu Jain has authored 303 papers receiving a total of 2.9k indexed citations (citations by other indexed papers that have themselves been cited), including 191 papers in Management Information Systems, 117 papers in Safety, Risk, Reliability and Quality and 49 papers in Management Science and Operations Research. Recurrent topics in Madhu Jain's work include Advanced Queuing Theory Analysis (179 papers), Reliability and Maintenance Optimization (117 papers) and Probability and Risk Models (39 papers). Madhu Jain is often cited by papers focused on Advanced Queuing Theory Analysis (179 papers), Reliability and Maintenance Optimization (117 papers) and Probability and Risk Models (39 papers). Madhu Jain collaborates with scholars based in India, United States and South Korea. Madhu Jain's co-authors include Rakesh Kumar Meena, Kapil Kumar Goyal, Pramod Kumar Jain, Chandra Shekhar, Ritu Gupta, Anamika Jain, Richa Sharma, Shweta Upadhyaya, Rakhee Kulshrestha and Shalini Shukla and has published in prestigious journals such as SHILAP Revista de lepidopterología, Water Research and Journal of Sound and Vibration.

In The Last Decade

Madhu Jain

289 papers receiving 2.7k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Madhu Jain India 25 1.7k 1.1k 758 431 336 303 2.9k
Jau‐Chuan Ke Taiwan 30 2.4k 1.4× 1.3k 1.2× 321 0.4× 755 1.8× 848 2.5× 165 3.0k
Geert‐Jan van Houtum Netherlands 34 1.9k 1.1× 825 0.8× 942 1.2× 124 0.3× 679 2.0× 160 3.4k
Fulya Altıparmak Türkiye 21 419 0.2× 182 0.2× 1.2k 1.6× 222 0.5× 218 0.6× 44 2.3k
Tayfur Altıok United States 23 1.2k 0.7× 194 0.2× 1000 1.3× 165 0.4× 374 1.1× 73 2.1k
Tongdan Jin United States 30 321 0.2× 1.1k 1.0× 290 0.4× 607 1.4× 226 0.7× 145 2.7k
Alexander Fay Germany 26 410 0.2× 204 0.2× 2.1k 2.8× 225 0.5× 118 0.4× 402 3.3k
Diego Galar Sweden 23 332 0.2× 444 0.4× 499 0.7× 193 0.4× 162 0.5× 152 2.5k
Ershun Pan China 29 297 0.2× 1.3k 1.2× 911 1.2× 318 0.7× 144 0.4× 185 3.4k
Qing Chang United States 29 288 0.2× 452 0.4× 1.6k 2.2× 176 0.4× 121 0.4× 149 2.7k
Amir Azaron Iran 24 308 0.2× 178 0.2× 624 0.8× 71 0.2× 480 1.4× 63 1.5k

Countries citing papers authored by Madhu Jain

Since Specialization
Citations

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

Fields of papers citing papers by Madhu Jain

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Madhu Jain

This figure shows the co-authorship network connecting the top 25 collaborators of Madhu Jain. A scholar is included among the top collaborators of Madhu Jain 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 Madhu Jain. Madhu Jain 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.
Verma, Subhash C., et al.. (2025). Recent Advancements and Innovations in Post-harvest Handling, Storage, and Technology for Vegetables: A Review. Archives of Current Research International. 25(2). 161–180. 2 indexed citations
2.
Ganesan, S., et al.. (2025). Pioneering advances in waste-derived catalysts for next-generation zinc-air batteries. Results in Engineering. 27. 106161–106161. 1 indexed citations
3.
Singh, Vijay Pratap, Madhu Jain, & Richa Sharma. (2025). N-policy for redundant machining system with double retrial orbits using soft computing techniques. Mathematics and Computers in Simulation. 237. 42–69.
4.
Kumar, Anil, et al.. (2025). Interaction Effect of Crop Rotation and Diversification on Soil Health and Productivity: A Review. Archives of Current Research International. 25(10). 57–72.
5.
Jain, Madhu, et al.. (2024). Cost optimization and reliability analysis of fault tolerant system with service interruption and reboot. Reliability Engineering & System Safety. 249. 110229–110229. 4 indexed citations
6.
Singh, Mayank, et al.. (2024). Cost analysis of a transient Markovian queueing model with provision of options between regular and working vacation. International Journal of Mathematics in Operational Research. 28(2). 209–229. 1 indexed citations
7.
Jain, Madhu, et al.. (2023). ANFIS and metaheuristic optimization for strategic joining policy with re-attempt and vacation. Mathematics and Computers in Simulation. 211. 57–84. 11 indexed citations
8.
Jain, Madhu, et al.. (2023). Sustainable inventory prediction with random defect and rework using Bat algorithm. RAIRO. Operations research. 57(2). 481–501. 12 indexed citations
9.
Jain, Madhu, et al.. (2020). Markovian Model of Unreliable Server Retrial Queue with Discouragement. Proceedings of the National Academy of Sciences India Section A Physical Sciences. 91(2). 217–224. 6 indexed citations
10.
Sharma, Ram Prakash, Shaik Mohammed Ibrahim, Madhu Jain, & S. R. Mishra. (2018). Chemical reaction effect on MHD rotating fluid over a vertical plate with variable thermal conductivity: A numerical study. Indian Journal of Pure & Applied Physics. 56(9). 732–740. 4 indexed citations
11.
Jain, Madhu, et al.. (2016). Perceived Organizational Climate & Interpersonal Trust among Virtual Workers. Indian journal of industrial relations. 51(4). 609. 1 indexed citations
12.
Jain, Madhu, Ole Andersen, & Lars Stenseng. (2013). Sea Surface Height Determination in the Arctic Ocean from Cryosat-2 SAR Data, the Impact of Using Different Empirical Retrackers. Technical University of Denmark, DTU Orbit (Technical University of Denmark, DTU). 710. 79.
13.
Goyal, Kapil Kumar, Pramod Kumar Jain, & Madhu Jain. (2012). A comprehensive approach to operation sequence similarity based part family formation in the reconfigurable manufacturing system. International Journal of Production Research. 51(6). 1762–1776. 60 indexed citations
14.
Jain, Madhu, Gaurav Sharma, & Richa Sharma. (2012). Unreliable M^X/(G1,G2)/1 Retrial Queue with Bernoulli Feedback Under Modified Vacation Policy. 425–448. 2 indexed citations
15.
Jain, Madhu, C. S. Desai, & Sheldon S. Williamson. (2009). Genetic algorithm based optimal powertrain component sizing and control strategy design for a fuel cell hybrid electric bus. 980–985. 38 indexed citations
16.
Jain, Madhu, et al.. (2009). MATHEMATICAL ANALYSIS OF MHD FLOW OF BLOOD IN VERY NARROW CAPILLARIES (RESEARCH NOTE). 22(3). 307–315. 5 indexed citations
17.
Jain, Madhu, et al.. (2007). Queueing network modelling of flexible manufacturing system using mean value analysis. Applied Mathematical Modelling. 32(5). 700–711. 13 indexed citations
18.
Jain, Madhu, et al.. (2007). Performance modeling of state dependent system with mixed standbys and two modes of failure. Applied Mathematical Modelling. 32(5). 712–724. 24 indexed citations
19.
Jain, Madhu, et al.. (2004). RELIABILITY ANALYSIS OF REDUNDANT REPAIRABLE SYSTEM WITH DEGRADED FAILURE. 17(2). 171–182. 2 indexed citations
20.
Sharma, Garima, Madhu Jain, & Anil Kumar. (2004). Performance modeling and analysis of blood flow in elastic arteries. Mathematical and Computer Modelling. 39(13). 1491–1499. 12 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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