Raghu N. Kackar

19 total papers · 2.7k total citations
10 papers, 1.3k citations indexed

About

Raghu N. Kackar is a scholar working on Management Science and Operations Research, Industrial and Manufacturing Engineering and Hardware and Architecture. According to data from OpenAlex, Raghu N. Kackar has authored 10 papers receiving a total of 1.3k indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Management Science and Operations Research, 5 papers in Industrial and Manufacturing Engineering and 2 papers in Hardware and Architecture. Recurrent topics in Raghu N. Kackar's work include Optimal Experimental Design Methods (7 papers), Manufacturing Process and Optimization (5 papers) and VLSI and Analog Circuit Testing (2 papers). Raghu N. Kackar is often cited by papers focused on Optimal Experimental Design Methods (7 papers), Manufacturing Process and Optimization (5 papers) and VLSI and Analog Circuit Testing (2 papers). Raghu N. Kackar collaborates with scholars based in United States and Germany. Raghu N. Kackar's co-authors include David A. Harville, Anne C. Shoemaker, M. S. Phadke and Michael J. Grieco and has published in prestigious journals such as Journal of the American Statistical Association, Journal of Quality Technology and Bell System Technical Journal.

In The Last Decade

Raghu N. Kackar

10 papers receiving 1.2k citations

Hit Papers

Off-Line Quality Control,... 1985 2026 1998 2012 1985 100 200 300 400 500

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Raghu N. Kackar 537 307 278 258 218 10 1.3k
Jock MacKay 623 1.2× 310 1.0× 254 0.9× 394 1.5× 145 0.7× 21 1.6k
Anne C. Shoemaker 1.1k 2.1× 215 0.7× 540 1.9× 697 2.7× 222 1.0× 16 1.7k
Xinyang Deng 678 1.3× 93 0.3× 53 0.2× 170 0.7× 51 0.2× 20 1.8k
Bruce E. Ankenman 798 1.5× 110 0.4× 172 0.6× 310 1.2× 69 0.3× 75 1.6k
Sung H. Park 381 0.7× 86 0.3× 188 0.7× 186 0.7× 223 1.0× 52 1.3k
Ying-Ming Wang 891 1.7× 141 0.5× 59 0.2× 152 0.6× 41 0.2× 12 1.6k
Carolyn Morgan 383 0.7× 197 0.6× 235 0.8× 148 0.6× 29 0.1× 7 1.3k
Richard M. Feldman 83 0.2× 313 1.0× 163 0.6× 262 1.0× 30 0.1× 58 1.6k
Willis A. Jensen 237 0.4× 662 2.2× 98 0.4× 1.0k 4.1× 114 0.5× 47 1.6k
Shin Ta Liu 322 0.6× 42 0.1× 38 0.1× 178 0.7× 31 0.1× 8 1.4k

Countries citing papers authored by Raghu N. Kackar

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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.

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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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