Raghu N. Kackar
- Management Science and Operations Research top 1%
- Statistics and Probability top 1%
- Industrial and Manufacturing Engineering top 2%
- Statistics, Probability and Uncertainty top 1%
- Mechanical Engineering top 10%
- Topics
- Optimal Experimental Design Methods (7 papers)Manufacturing Process and Optimization (5 papers)Advanced Statistical Process Monitoring (2 papers)
- Cited by
- Management Science and Operations ResearchStatistics and ProbabilityStatistics, Probability and Uncertainty
- Journals
- Journal of the American Statistical AssociationJournal of Quality TechnologyBell System Technical Journal
- Partner nations
- United StatesGermany
In The Last Decade
Raghu N. Kackar
10 papers receiving 1.2k citations
Hit Papers
Peers
Comparison fields: 5 of 131
- Management Science and Operations Research 538
- Statistics and Probability 308
- Industrial and Manufacturing Engineering 278
- Statistics, Probability and Uncertainty 258
- Mechanical Engineering 218
Countries citing papers authored by Raghu N. Kackar
This map shows the geographic impact of Raghu N. Kackar'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 Raghu N. Kackar with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Raghu N. Kackar more than expected).
Fields of papers citing papers by Raghu N. Kackar
This network shows the impact of papers produced by Raghu N. Kackar. 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 Raghu N. Kackar. The network helps show where Raghu N. Kackar may publish in the future.
Co-authorship network of co-authors of Raghu N. Kackar
This figure shows the co-authorship network connecting the top 25 collaborators of Raghu N. Kackar. A scholar is included among the top collaborators of Raghu N. Kackar 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 Raghu N. Kackar. Raghu N. Kackar is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 4 | |
| 2 | 63 | |
| 3 | 110 | |
| 4 | Off-Line Quality Control, Parameter Design, and the Taguchi Methodbreakdown → | 513 |
| 5 | OFF-LINE QUALITY CONTROL, PARAMETER DESIGN, AND | 7 |
| 6 | 3 | |
| 7 | 314 | |
| 8 | 98 | |
| 9 | 115 | |
| 10 | 99 |
About Raghu N. Kackar
Raghu N. Kackar is a scholar working on Management Science and Operations Research, Industrial and Manufacturing Engineering and Hardware and Architecture, having authored 10 papers that have together received 1.3k indexed citations. Recurring topics across this work include Optimal Experimental Design Methods (7 papers), Manufacturing Process and Optimization (5 papers) and Advanced Statistical Process Monitoring (2 papers). The work is most often cited by research in Management Science and Operations Research (538 citations), Statistics and Probability (308 citations) and Statistics, Probability and Uncertainty (258 citations). Raghu N. Kackar has collaborated with scholars based in United States and Germany. Frequent co-authors include David A. Harville, Anne C. Shoemaker, M. S. Phadke and Michael J. Grieco. Their work appears in journals such as Journal of the American Statistical Association, Journal of Quality Technology and Bell System Technical Journal.
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.