Rachna Shah

39 papers receiving 6.0k citations

Hit Papers

Lean manufacturing: context, practice bundles, and perfor...200220262010201820022007200550010001.5k2.0k

Peers

Rachna Shah
Comparison fields: 5 of 147
  • Management Information Systems 4.5k
  • Strategy and Management 4.0k
  • Management Science and Operations Research 1.1k
  • Industrial and Manufacturing Engineering 811
  • Management of Technology and Innovation 732
Replace Manoj K. Malhotra with:
Manoj K. Malhotra United States
Ken Platts United Kingdom
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Robert J. Vokurka United States
Cipriano Forza Italy
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Nigel Slack United Kingdom
Rachna Shah relative to Manoj K. Malhotra United States Manoj K. Malhotra's profile →
Citations per field
00.5×1.5×2.1×
Manoj K. Malhotra · 1×
Citations per year

Countries citing papers authored by Rachna Shah

Since Specialization
Citations

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

Fields of papers citing papers by Rachna Shah

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Rachna Shah. 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 Rachna Shah. The network helps show where Rachna Shah may publish in the future.

Co-authorship network of co-authors of Rachna Shah

This figure shows the co-authorship network connecting the top 25 collaborators of Rachna Shah. A scholar is included among the top collaborators of Rachna Shah 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 Rachna Shah. Rachna Shah 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 0
2 0
3 1
4 45
5 25
6 39
7 20
8 71
9 50
10 61
11 15
12
Competitive Priorities, Plant Improvement and Innovation Capabilities, and Operational Performance: A Test of Two Forms of Fit
11
13 232
14 287
15 33
16
Defining and developing measures of lean productionbreakdown →
1651
17
Use of structural equation modeling in operations management research: Looking back and forwardbreakdown →
775
18
A configurational view of lean manufacturing and its theoretical implications
10
19
Lean manufacturing: context, practice bundles, and performancebreakdown →
2069
20 89

About Rachna Shah

Rachna Shah is a scholar working on Management Information Systems, Management of Technology and Innovation and Strategy and Management, having authored 47 papers that have together received 6.5k indexed citations. Recurring topics across this work include Quality and Supply Management (24 papers), Innovation and Knowledge Management (9 papers) and Product Development and Customization (8 papers). The work is most often cited by research in Management Information Systems (4.5k citations), Strategy and Management (4.0k citations) and Management of Technology and Innovation (732 citations). Rachna Shah has collaborated with scholars based in United States, United Kingdom and Switzerland. Frequent co-authors include Peter T. Ward, Susan Meyer Goldstein, Roger G. Schroeder, Anant Mishra, Gensheng Liu, George Ball, Aravind Chandrasekaran, Kevin Linderman, David Xiaosong Peng and Hojung Shin. Their work appears in journals such as Management Science, Journal of Operations Management and International Journal of Production Economics.

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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