P. C. Jha

2.2k total citations
57 papers, 1.5k citations indexed

About

P. C. Jha is a scholar working on Strategy and Management, Management Information Systems and Software. According to data from OpenAlex, P. C. Jha has authored 57 papers receiving a total of 1.5k indexed citations (citations by other indexed papers that have themselves been cited), including 30 papers in Strategy and Management, 23 papers in Management Information Systems and 16 papers in Software. Recurrent topics in P. C. Jha's work include Sustainable Supply Chain Management (24 papers), Software Reliability and Analysis Research (16 papers) and Quality and Supply Management (16 papers). P. C. Jha is often cited by papers focused on Sustainable Supply Chain Management (24 papers), Software Reliability and Analysis Research (16 papers) and Quality and Supply Management (16 papers). P. C. Jha collaborates with scholars based in India, Denmark and China. P. C. Jha's co-authors include Jyoti Dhingra Darbari, Kannan Govindan, Devika Kannan, Vernika Agarwal, Kiran Garg, Anshu Gupta, P. K. Kapur, Hoang Pham, Ali Diabat and Amit Kumar Bardhan and has published in prestigious journals such as SHILAP Revista de lepidopterología, Journal of Cleaner Production and Journal of Environmental Management.

In The Last Decade

P. C. Jha

54 papers receiving 1.4k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
P. C. Jha India 21 868 370 294 285 272 57 1.5k
Yeu‐Shiang Huang Taiwan 22 526 0.6× 473 1.3× 371 1.3× 272 1.0× 80 0.3× 87 1.6k
Uday Venkatadri Canada 24 715 0.8× 409 1.1× 246 0.8× 103 0.4× 184 0.7× 86 1.7k
Claver Diallo Canada 21 727 0.8× 330 0.9× 357 1.2× 102 0.4× 238 0.9× 82 1.5k
Shuguang He China 25 277 0.3× 268 0.7× 160 0.5× 156 0.5× 35 0.1× 99 1.5k
Nidhal Rezg France 27 874 1.0× 942 2.5× 260 0.9× 96 0.3× 177 0.7× 188 2.5k
Seyed Mohammad Seyedhosseini Iran 19 518 0.6× 402 1.1× 33 0.1× 365 1.3× 83 0.3× 85 1.4k
Tarkan Tan Netherlands 21 500 0.6× 656 1.8× 39 0.1× 266 0.9× 39 0.1× 48 1.3k
George Tagaras Greece 29 944 1.1× 1.1k 3.0× 62 0.2× 432 1.5× 347 1.3× 54 2.4k
Ajay Pal Singh Rathore India 20 763 0.9× 709 1.9× 27 0.1× 222 0.8× 26 0.1× 75 1.4k
Ludo Gelders Belgium 27 507 0.6× 819 2.2× 51 0.2× 324 1.1× 88 0.3× 95 2.3k

Countries citing papers authored by P. C. Jha

Since Specialization
Citations

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

Fields of papers citing papers by P. C. Jha

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by P. C. Jha. 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 P. C. Jha. The network helps show where P. C. Jha may publish in the future.

Co-authorship network of co-authors of P. C. Jha

This figure shows the co-authorship network connecting the top 25 collaborators of P. C. Jha. A scholar is included among the top collaborators of P. C. Jha 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 P. C. Jha. P. C. Jha 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.
Kannan, Devika, et al.. (2024). Group decision making model for selection of performance indicators for sustainable supplier evaluation in agro-food supply chain. International Journal of Production Economics. 277. 109353–109353. 7 indexed citations
2.
3.
Xu, Song, et al.. (2023). An integrated fuzzy MCDM approach for manufacturing process improvement in MSMEs. Annals of Operations Research. 322(2). 1037–1073. 23 indexed citations
4.
Govindan, Kannan, et al.. (2023). Modelling of barriers in implementing sustainable manufacturer-supplier collaboration and coping strategies. Journal of Cleaner Production. 434. 139635–139635. 29 indexed citations
5.
Jha, P. C., et al.. (2023). Talking About Global Inequality. Research at the University of Copenhagen (University of Copenhagen). 2 indexed citations
6.
Jha, P. C.. (2022). Thinking Inequality Through Socialism in Modern India (1920–1980): Narayan, Lohia and Chattopadhyay. Global Intellectual History. 9(1-2). 115–135. 1 indexed citations
7.
Jha, P. C., et al.. (2021). Profit Analysis of a 1-out-of-2:GSystem with Priority to Repair and Conditional Failure of Service Facility. 8(2). 264–271.
8.
Jha, P. C., et al.. (2020). Block printing process performance evaluation and improvement using FMEA and Taguchi loss function for selecting print paste suppliers in apparel industry. International Journal of Advanced Operations Management. 12(3). 237–237. 1 indexed citations
9.
Govindan, Kannan, P. C. Jha, Vernika Agarwal, & Jyoti Dhingra Darbari. (2019). Environmental management partner selection for reverse supply chain collaboration: A sustainable approach. Journal of Environmental Management. 236. 784–797. 71 indexed citations
10.
Gupta, Anshu, et al.. (2019). Quality improvement in manufacturing process through six sigma: A case study of Indian MSME firm. SHILAP Revista de lepidopterología. 29(4). 519–537. 9 indexed citations
11.
Darbari, Jyoti Dhingra, Devika Kannan, Vernika Agarwal, & P. C. Jha. (2017). Fuzzy criteria programming approach for optimising the TBL performance of closed loop supply chain network design problem. Annals of Operations Research. 273(1-2). 693–738. 92 indexed citations
12.
Gupta, Anshu, et al.. (2016). Productivity Improvement in the Chassis Preparation Stage of the Amplifier Production Process: A DMAIC Six Sigma Methodology. International Journal of Reliability Quality and Safety Engineering. 23(6). 1640012–1640012. 11 indexed citations
13.
Jha, P. C., et al.. (2015). Fuzzy multi-criteria approach for modular software system incorporating reuse-build-buy decision under Recovery Block Scheme. International Conference on Computing for Sustainable Global Development. 655–660.
14.
Govindan, Kannan, P. C. Jha, & Kiran Garg. (2015). Product recovery optimization in closed-loop supply chain to improve sustainability in manufacturing. International Journal of Production Research. 54(5). 1463–1486. 119 indexed citations
15.
16.
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
17.
Kapur, P. K., Hoang Pham, Anshu Gupta, & P. C. Jha. (2011). Software Reliability Assessment with OR Applications. Digital Access to Libraries (Université catholique de Louvain (UCL), l'Université de Namur (UNamur) and the Université Saint-Louis (USL-B)). 224 indexed citations
18.
Kapur, P. K., et al.. (2010). Software quality assurance using software reliability growth modelling: state of the art. International Journal of Business Information Systems. 6(4). 463–463. 10 indexed citations
19.
Jha, P. C., et al.. (2009). Optimal testing resource allocation during module testing considering cost, testing effort and reliability. Computers & Industrial Engineering. 57(3). 1122–1130. 21 indexed citations
20.
Kapur, P. K., P. C. Jha, & Amit Kumar Bardhan. (2004). OPTIMAL ALLOCATION OF TESTING RESOURCE FOR A MODULAR SOFTWARE. Asia Pacific Journal of Operational Research. 21(3). 333–354. 22 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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