Kailash C. Kapur

4.7k citations
81 papers · 3.6k indexed · 2 hit papers · h-index 23
Topics
Reliability and Maintenance Optimization (24 papers)Software Reliability and Analysis Research (14 papers)Manufacturing Process and Optimization (12 papers)

In The Last Decade

Kailash C. Kapur

76 papers receiving 3.3k citations

Hit Papers

Quality Engineering Using Robust Design19902026200220141990200950010001.5k

Peers

Kailash C. Kapur
Comparison fields: 5 of 161
  • Statistics, Probability and Uncertainty 1.0k
  • Industrial and Manufacturing Engineering 767
  • Safety, Risk, Reliability and Quality 744
  • Management Science and Operations Research 725
  • Mechanical Engineering 684
Replace Mohammad Modarres with:
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Citations per field
00.5×1.6×
Mohammad Modarres · 1×
Citations per year

Countries citing papers authored by Kailash C. Kapur

Since Specialization
Citations

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

Fields of papers citing papers by Kailash C. Kapur

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Kailash C. Kapur

This figure shows the co-authorship network connecting the top 25 collaborators of Kailash C. Kapur. A scholar is included among the top collaborators of Kailash C. Kapur 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 Kailash C. Kapur. Kailash C. Kapur 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
#WorkIndexed citations
1
Process Monitoring and Feedforward Control for Proactive Quality Improvement
2
2 1
3 12
4 2
5 59
6
Customer-driven reliability models and logical differential calculus for reliability analysis of multi state system
3
7
Multi-state reliability : models and applications
2
8 36
9 35
10 5
11 46
12
1
13 55
14 76
15
PROPOSED APPROACH TO DETERMINE OPTIMAL NUMBER, SIZE, AND LOCATION OF BUS GARAGE ADDITIONS
5
16 4
17 3
18 1
19 2
20 7

About Kailash C. Kapur

Kailash C. Kapur is a scholar working on Software, Statistics, Probability and Uncertainty and Safety, Risk, Reliability and Quality, having authored 81 papers that have together received 3.6k indexed citations. Recurring topics across this work include Reliability and Maintenance Optimization (24 papers), Software Reliability and Analysis Research (14 papers) and Manufacturing Process and Optimization (12 papers). The work is most often cited by research in Statistics, Probability and Uncertainty (1.0k citations), Software (318 citations) and Safety, Risk, Reliability and Quality (744 citations). Kailash C. Kapur has collaborated with scholars based in United States, Hong Kong and Slovakia. Frequent co-authors include Joseph C. Hudson, D. A. Reed, R.D. Christie, Qianmei Feng, Zhaojun Li, Lianjie Shu, Fugee Tsung, Guangming Chen, Ming‐Hung Shu and Bi‐Min Hsu. Their work appears in journals such as Technometrics, Operations Research and Journal of the Operational Research Society.

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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