Bhupesh Kumar Lad

693 total citations
35 papers, 479 citations indexed

About

Bhupesh Kumar Lad is a scholar working on Safety, Risk, Reliability and Quality, Industrial and Manufacturing Engineering and Control and Systems Engineering. According to data from OpenAlex, Bhupesh Kumar Lad has authored 35 papers receiving a total of 479 indexed citations (citations by other indexed papers that have themselves been cited), including 16 papers in Safety, Risk, Reliability and Quality, 16 papers in Industrial and Manufacturing Engineering and 7 papers in Control and Systems Engineering. Recurrent topics in Bhupesh Kumar Lad's work include Reliability and Maintenance Optimization (16 papers), Manufacturing Process and Optimization (10 papers) and Advanced machining processes and optimization (6 papers). Bhupesh Kumar Lad is often cited by papers focused on Reliability and Maintenance Optimization (16 papers), Manufacturing Process and Optimization (10 papers) and Advanced machining processes and optimization (6 papers). Bhupesh Kumar Lad collaborates with scholars based in India and United Kingdom. Bhupesh Kumar Lad's co-authors include Makarand S. Kulkarni, Amit Kumar Jain, Pradeep Kundu, Sandeep Kumar, Vibhor Pandhare, Vivek Singh, Ajith Kumar Parlikad, Adrià Salvador Palau and Abhishek Sharma and has published in prestigious journals such as Journal of the Operational Research Society, International Journal of Production Research and Reliability Engineering & System Safety.

In The Last Decade

Bhupesh Kumar Lad

32 papers receiving 461 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Bhupesh Kumar Lad India 13 183 156 122 94 71 35 479
Di Zhou China 15 134 0.7× 311 2.0× 172 1.4× 72 0.8× 80 1.1× 43 619
Marcus Bengtsson Sweden 11 112 0.6× 98 0.6× 81 0.7× 37 0.4× 56 0.8× 43 357
Mageed Ghaleb Saudi Arabia 11 404 2.2× 113 0.7× 50 0.4× 50 0.5× 63 0.9× 27 626
Pulak Bandyopadhyay United States 10 140 0.8× 75 0.5× 61 0.5× 87 0.9× 28 0.4× 16 344
P.Y.L. Tu Hong Kong 9 146 0.8× 120 0.8× 190 1.6× 50 0.5× 15 0.2× 11 499
James Wakiru Belgium 10 40 0.2× 110 0.7× 98 0.8× 128 1.4× 49 0.7× 21 357
Zineb Simeu-Abazi France 11 87 0.5× 127 0.8× 139 1.1× 40 0.4× 22 0.3× 49 403
Jezdimir Knežević United Kingdom 13 47 0.3× 324 2.1× 105 0.9× 44 0.5× 44 0.6× 41 537
Ranganath Kothamasu United States 6 67 0.4× 181 1.2× 310 2.5× 113 1.2× 18 0.3× 6 503
Youjun An China 14 323 1.8× 133 0.9× 67 0.5× 18 0.2× 42 0.6× 24 478

Countries citing papers authored by Bhupesh Kumar Lad

Since Specialization
Citations

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

Fields of papers citing papers by Bhupesh Kumar Lad

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Bhupesh Kumar Lad

This figure shows the co-authorship network connecting the top 25 collaborators of Bhupesh Kumar Lad. A scholar is included among the top collaborators of Bhupesh Kumar Lad 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 Bhupesh Kumar Lad. Bhupesh Kumar Lad 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.
Kulkarni, Makarand S., et al.. (2024). Smart scheduling for next generation manufacturing systems: a systematic literature review. Journal of Intelligent Manufacturing. 36(7). 4447–4476. 1 indexed citations
2.
3.
Kulkarni, Makarand S., et al.. (2022). XGBoost based residual life prediction in the presence of human error in maintenance. Neural Computing and Applications. 35(4). 3025–3039. 8 indexed citations
4.
Lad, Bhupesh Kumar, et al.. (2020). Simulation-based joint optimization of fleet system modularity and level of repair decisions considering different failure rates of components. Grey Systems Theory and Application. 10(3). 377–390. 6 indexed citations
5.
Jain, Amit Kumar, et al.. (2020). Product Quality Driven Auto-Prognostics: Low-Cost Digital Solution for SMEs. IFAC-PapersOnLine. 53(3). 78–83. 6 indexed citations
6.
Kumar, Sandeep, et al.. (2018). Investigating the value of integrated operations planning: A case-based approach from automotive industry. International Journal of Production Research. 56(22). 6971–6992. 25 indexed citations
7.
Palau, Adrià Salvador, et al.. (2018). A Multi Agent System architecture to implement Collaborative Learning for social industrial assets. IFAC-PapersOnLine. 51(11). 1237–1242. 24 indexed citations
8.
Lad, Bhupesh Kumar, et al.. (2018). Novel approach for machine tool maintenance modelling and optimization using fleet system architecture. Computers & Industrial Engineering. 126. 47–62. 8 indexed citations
9.
Kundu, Pradeep, et al.. (2017). Multiple failure behaviors identification and remaining useful life prediction of ball bearings. Journal of Intelligent Manufacturing. 30(4). 1795–1807. 55 indexed citations
10.
Jain, Amit Kumar & Bhupesh Kumar Lad. (2017). Dynamic Optimization of Process Quality Control and Maintenance Planning. IEEE Transactions on Reliability. 66(2). 502–517. 18 indexed citations
11.
Pandhare, Vibhor, et al.. (2016). Memetic Algorithm to Optimize Preventive Maintenance Schedule for a Multi-Component Machine. International Journal of Performability Engineering. 12(2). 183. 2 indexed citations
12.
Lad, Bhupesh Kumar, et al.. (2016). Production and maintenance planning: an integrated approach under uncertainties. The International Journal of Advanced Manufacturing Technology. 86(9-12). 3179–3191. 17 indexed citations
13.
Lad, Bhupesh Kumar, et al.. (2016). Machine Tool Reliability. 4 indexed citations
14.
Lad, Bhupesh Kumar, et al.. (2016). Machine Tool Reliability. CERN Bulletin. 1 indexed citations
15.
Jain, Amit Kumar & Bhupesh Kumar Lad. (2015). Quality Control Based Tool Condition Monitoring. Annual Conference of the PHM Society. 7(1). 5 indexed citations
16.
Kundu, Pradeep, et al.. (2015). Development of a Risk Based Maintenance Strategy to Optimize Forecast of a Gas Turbine Failures. International Journal of Performability Engineering. 11(5). 407. 5 indexed citations
17.
Lad, Bhupesh Kumar, et al.. (2015). Integrated Operations Planning for a Multicomponent Machine Subjected to Stochastic Environment. 55–62. 1 indexed citations
18.
Lad, Bhupesh Kumar, et al.. (2013). Condition based optimal maintenance strategy for multi-component system. 1437–1441.
19.
Lad, Bhupesh Kumar & Makarand S. Kulkarni. (2011). Optimal maintenance schedule decisions for machine tools considering the user's cost structure. International Journal of Production Research. 50(20). 5859–5871. 31 indexed citations
20.
Lad, Bhupesh Kumar & Makarand S. Kulkarni. (2010). A parameter estimation method for machine tool reliability analysis using expert judgement. International Journal of Data Analysis Techniques and Strategies. 2(2). 155–155. 36 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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2026