R. Murugesh

557 citations
40 papers · 430 · h-index 11

Impact in

Papers in

R. Murugesh

39 papers receiving 403 citations

Peers

R. Murugesh
Comparison fields: 5 of 55
  • Management Information Systems 285
  • Strategy and Management 263
  • Management of Technology and Innovation 110
  • Management Science and Operations Research 97
  • Medical Laboratory Technology 12
Replace Tony Bendell with:
Tony Bendell United Kingdom
Anil B. Jambekar United States
P.R. Shalij India
Marc Antoni France
J. R. Jadhav India
Kirkor Bozdogan United States
Horacio Soriano‐Meier United Kingdom
Shahram Taj United States
Stephen N. Chapman United States
Kanwarpreet Singh India
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Citations per field
00.5×3.3×
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Citations per year

Countries citing papers authored by R. Murugesh

Since Specialization
Citations

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

Fields of papers citing papers by R. Murugesh

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 15 scholars most cited alongside R. Murugesh, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with R. Murugesh Line = papers co-authored together R. Murugesh links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 40 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201558
2 201152
3 201140
4 201233
5 201126
6 201015
7 201314
8 200713
9 201412
10 200811
11 200711
12 201210
13 201210
14 19979
15 20098
16 20128
17 20138
18 20158
19 20138
20 20117

About R. Murugesh

R. Murugesh is a scholar working on Management Information Systems, Strategy and Management, Management of Technology and Innovation, Industrial and Manufacturing Engineering and Safety, Risk, Reliability and Quality, having authored 40 papers that have together received 430 indexed citations. Recurring topics across this work include Quality and Supply Management (29 papers), Quality and Management Systems (15 papers), Quality Function Deployment in Product Design (8 papers), Technology Assessment and Management (6 papers), Manufacturing Process and Optimization (6 papers), Collaboration in agile enterprises (5 papers), Digital Transformation in Industry (4 papers) and Supply Chain Resilience and Risk Management (4 papers). The work is most often cited by research in Management Information Systems (285 citations), Strategy and Management (263 citations), Management of Technology and Innovation (110 citations), Management Science and Operations Research (97 citations) and Medical Laboratory Technology (12 citations). R. Murugesh has collaborated with scholars based in India, Nepal and United States. Frequent co-authors include S.R. Devadasan, N.M. Sivaram, S. Vinodh, N. Ramachandran, G. Sundararaj, V. Senthil, P.R. Shalij, V P Jagathy Raj, V.R. Pramod and Rupesh Kumar. Their work appears in journals such as International Journal of Services and Operations Management, International Journal of Productivity and Quality Management, The TQM Journal, The International Journal of Advanced Manufacturing Technology and Production Planning & Control.

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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