M. S. Phadke

23 papers receiving 3.6k citations

Hit Papers

Quality Engineering Using Robust Design1991202620022014199150010001.5k2.0k2.5k

Peers

M. S. Phadke
Comparison fields: 5 of 156
  • Mechanical Engineering 1.4k
  • Management Science and Operations Research 1.3k
  • Industrial and Manufacturing Engineering 1.1k
  • Statistics, Probability and Uncertainty 771
  • Electrical and Electronic Engineering 715
Replace Genichi Taguchi with:
Genichi Taguchi United States
Kailash C. Kapur United States
Michael Kokkolaras United States
Shiyu Zhou United States
Lee‐Ing Tong Taiwan
Thomas R. Bement United States
Michael S. Hamada United States
David He United States
Shing I. Chang United States
Fu‐Kwun Wang Taiwan
M. S. Phadke relative to Genichi Taguchi United States Genichi Taguchi's profile →
Citations per field
00.5×1.5×
Genichi Taguchi · 1×
Citations per year

Countries citing papers authored by M. S. Phadke

Since Specialization
Citations

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

Fields of papers citing papers by M. S. Phadke

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by M. S. Phadke. 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 M. S. Phadke. The network helps show where M. S. Phadke may publish in the future.

Co-authorship network of co-authors of M. S. Phadke

This figure shows the co-authorship network connecting the top 25 collaborators of M. S. Phadke. A scholar is included among the top collaborators of M. S. Phadke 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 M. S. Phadke. M. S. Phadke 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 1
2 15
3 2
4 309
5 414
6
Quality Engineering Using Robust Designbreakdown →
2810
7 9
8 69
9 4
10 47
11 115
12 6
13 2
14 23
15 4
16 13
17 53
18 57
19 7
20 0

About M. S. Phadke

M. S. Phadke is a scholar working on Management Science and Operations Research, Industrial and Manufacturing Engineering and Hardware and Architecture, having authored 25 papers that have together received 4.0k indexed citations. Recurring topics across this work include Optimal Experimental Design Methods (8 papers), Manufacturing Process and Optimization (7 papers) and VLSI and Analog Circuit Testing (3 papers). The work is most often cited by research in Industrial and Manufacturing Engineering (1.1k citations), Statistics, Probability and Uncertainty (771 citations) and Management Science and Operations Research (1.3k citations). M. S. Phadke has collaborated with scholars based in United States, Canada and Egypt. Frequent co-authors include S. M. Wu, George E. P. Box, William J. Welch, Shin Taguchi, James M. Lucas, Raymond H. Myers, Anne C. Shoemaker, Vijayan N. Nair, Jock MacKay and Bovas Abraham. Their work appears in journals such as Journal of the American Statistical Association, Environmental Science & Technology and Technometrics.

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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