Uday Kumar

3.5k total citations
134 papers, 2.2k citations indexed

About

Uday Kumar is a scholar working on Safety, Risk, Reliability and Quality, Management Information Systems and Software. According to data from OpenAlex, Uday Kumar has authored 134 papers receiving a total of 2.2k indexed citations (citations by other indexed papers that have themselves been cited), including 61 papers in Safety, Risk, Reliability and Quality, 22 papers in Management Information Systems and 22 papers in Software. Recurrent topics in Uday Kumar's work include Reliability and Maintenance Optimization (57 papers), Software Reliability and Analysis Research (22 papers) and Life Cycle Costing Analysis (16 papers). Uday Kumar is often cited by papers focused on Reliability and Maintenance Optimization (57 papers), Software Reliability and Analysis Research (22 papers) and Life Cycle Costing Analysis (16 papers). Uday Kumar collaborates with scholars based in India, Sweden and United Kingdom. Uday Kumar's co-authors include Aditya Parida, J Crocker, David Nowicki, Haritha Saranga, Jezdimir Knežević, Bengt Klefsjö, José Emmanuel Ramírez-Márquez, Alireza Ahmadi, Tore Markeset and Javad Barabady and has published in prestigious journals such as SHILAP Revista de lepidopterología, European Journal of Operational Research and International Journal of Production Economics.

In The Last Decade

Uday Kumar

128 papers receiving 2.0k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Uday Kumar India 26 974 519 447 376 329 134 2.2k
Adolfo Crespo Márquez Spain 29 959 1.0× 702 1.4× 304 0.7× 451 1.2× 262 0.8× 153 2.9k
Tongdan Jin United States 30 1.1k 1.1× 321 0.6× 622 1.4× 280 0.7× 226 0.7× 145 2.7k
Mustapha Nourelfath Canada 31 1.4k 1.5× 680 1.3× 571 1.3× 582 1.5× 216 0.7× 118 2.8k
Benjamin S. Blanchard United States 10 677 0.7× 310 0.6× 165 0.4× 287 0.8× 333 1.0× 18 2.1k
Rob Basten Netherlands 23 497 0.5× 444 0.9× 274 0.6× 347 0.9× 304 0.9× 64 1.5k
Shuguang He China 25 475 0.5× 268 0.5× 444 1.0× 277 0.7× 156 0.5× 99 1.5k
Edward Pohl United States 22 768 0.8× 206 0.4× 348 0.8× 275 0.7× 138 0.4× 120 1.6k
Uday Kumar Sweden 24 655 0.7× 258 0.5× 332 0.7× 296 0.8× 118 0.4× 70 1.9k
Cristiano Alexandre Virgínio Cavalcante Brazil 25 1.0k 1.0× 164 0.3× 453 1.0× 165 0.4× 199 0.6× 80 1.6k
El‐Houssaine Aghezzaf Belgium 32 780 0.8× 775 1.5× 202 0.5× 636 1.7× 331 1.0× 170 3.1k

Countries citing papers authored by Uday Kumar

Since Specialization
Citations

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

Fields of papers citing papers by Uday Kumar

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Uday Kumar

This figure shows the co-authorship network connecting the top 25 collaborators of Uday Kumar. A scholar is included among the top collaborators of Uday 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 Uday Kumar. Uday 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, Uday, et al.. (2024). Decision support system for policy-making: Quantifying skill and chance in daily fantasy sports. Decision Support Systems. 182. 114237–114237. 1 indexed citations
2.
Kumar, Uday, et al.. (2019). Optimal package pricing in healthcare services. Journal of the Operational Research Society. 71(11). 1860–1872. 14 indexed citations
3.
Kumar, Uday, et al.. (2015). Survey of Operating Systems for the IoT Environment. International Journal of Advanced Networking and Applications. 6(5). 2479–2483. 1 indexed citations
4.
Ahmadi, Alireza, et al.. (2014). Fleet-level Reliability of Multiple Repairable Units: a Parametric Approach using the Power Law Process. International Journal of Performability Engineering. 10(3). 239–250. 11 indexed citations
5.
Yuan, Fuqing & Uday Kumar. (2014). Statistical Index Development from Time Domain for Rolling Element Bearings. International Journal of Performability Engineering. 10(3). 313–324. 3 indexed citations
6.
Ahmadi, Alireza, et al.. (2013). Fleet-level reliability analysis of repairable units : a non-parametric approach using the mean cumulative function. International Journal of Performability Engineering. 9(3). 333–344. 10 indexed citations
7.
Hoseinie, Seyed Hadi, Reza Khalokakaie, Mohammad Ataei, Behzad Ghodrati, & Uday Kumar. (2013). Monte Carlo reliability simulation of coal shearer machine. International Journal of Performability Engineering. 9(5). 487–494. 8 indexed citations
8.
Yuan, Fuqing & Uday Kumar. (2013). Proportional Intensity Model considering imperfect repair for repairable systems. International Journal of Performability Engineering. 9(2). 163–174. 3 indexed citations
9.
Kumar, Uday, J Crocker, Jezdimir Knežević, & Mohamed A. El‐Haram. (2012). Reliability, Maintenance and Logistic Support: - A Life Cycle Approach. Springer eBooks. 29 indexed citations
10.
Jha, P. C., et al.. (2011). An Optimization Framework for “Build-or-Buy” Strategy for component Selection in a Fault Tolerant Modular Software System under Recovery Block Scheme. SHILAP Revista de lepidopterología. 4 indexed citations
11.
Yuan, Fuqing, et al.. (2011). Complex System Reliability Evaluation using Support Vector Machine for Incomplete Data-set. International Journal of Performability Engineering. 7(1). 32–42. 2 indexed citations
12.
Tretten, Phillip, Ramin Karim, & Uday Kumar. (2011). Usability-based eMaintenance for effective performance measurement. Epubl LTU. 53–59. 5 indexed citations
13.
Dersin, Pierre, et al.. (2010). Cost Effective Maintenance Policy: A Case Study. International Journal of Performability Engineering. 6(6). 595–603. 5 indexed citations
14.
Kumar, Uday, et al.. (2010). Impact of Innovation on the Performance of Indian Pharmaceutical Industry Using Data Envelopment Analysis. SSRN Electronic Journal. 3 indexed citations
15.
Ahmadi, Alireza, Uday Kumar, & Peter Söderholm. (2010). Risk of Operational Consequences of Aircraft System Failure. International Journal of Performability Engineering. 6(2). 149–158. 4 indexed citations
16.
Nissen, Arne, et al.. (2010). Condition monitoring of railway switches and crossing by using data from track recording cars. 13(3). 36–40. 3 indexed citations
17.
Karim, Ramin, et al.. (2009). Service-Oriented Information Logistics as Support to Intelligent Transport Services. 3 indexed citations
18.
Barabady, Javad, et al.. (2009). Reliability analysis of the rolling stock industry : a case study. International Journal of Performability Engineering. 5(2). 167–175. 13 indexed citations
19.
Kumar, Uday. (1998). Maintenance strategies for mechanized and automated mining systems : a reliability and risk analysis based approach. International Conference on Multimedia Information Networking and Security. 46(11). 343–354. 14 indexed citations
20.
Gopalan, M.N. & Uday Kumar. (1996). Approximate analysis of n-unit cold-standby systems. Microelectronics Reliability. 36(4). 505–509. 2 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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