Subhash C. Narula

2.0k citations
86 papers · 1.3k · h-index 19

Impact in

Papers in

Subhash C. Narula

85 papers receiving 1.2k citations

Peers

Subhash C. Narula
Comparison fields: 5 of 129
  • Statistics and Probability 360
  • Industrial and Manufacturing Engineering 301
  • Management Science and Operations Research 309
  • Organizational Behavior and Human Resource Management 187
  • Transportation 95
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Han-Lin Li Taiwan
Richard E. Wendell United States
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Cécile Murat France
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P. L. Yu United States
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Citations per field
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Citations per year

Countries citing papers authored by Subhash C. Narula

Since Specialization
Citations

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

Fields of papers citing papers by Subhash C. Narula

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Subhash C. Narula. 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 Subhash C. Narula. The network helps show where Subhash C. Narula may publish in the future.

Co-authors

The 21 scholars most cited alongside Subhash C. Narula, 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 Subhash C. Narula Line = papers co-authored together Subhash C. Narula links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 86 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1980131
2 1982124
3 1977119
4 1985101
5 197775
6 198469
7 198950
8 198131
9 197922
10 199422
11 198721
12 201121
13 199321
14 199920
15 199320
16 199819
17 200219
18 198319
19 200618
20 197718

About Subhash C. Narula

Subhash C. Narula is a scholar working on Statistics and Probability, Management Science and Operations Research, Control and Systems Engineering, Industrial and Manufacturing Engineering and Numerical Analysis, having authored 86 papers that have together received 1.3k indexed citations. Recurring topics across this work include Advanced Statistical Methods and Models (33 papers), Multi-Criteria Decision Making (14 papers), Optimization and Mathematical Programming (14 papers), Fuzzy Systems and Optimization (12 papers), Advanced Optimization Algorithms Research (10 papers), Optimal Experimental Design Methods (9 papers), Statistical Methods and Inference (8 papers) and Control Systems and Identification (7 papers). The work is most often cited by research in Statistics and Probability (360 citations), Industrial and Manufacturing Engineering (301 citations), Management Science and Operations Research (309 citations), Organizational Behavior and Human Resource Management (187 citations) and Transportation (95 citations). Subhash C. Narula has collaborated with scholars based in United States, Brazil and Bulgaria. Frequent co-authors include John F. Wellington, Vassil Vassilev, Pekka Korhonen, Mitchell Harwitz, Kenneth J. Levy, Carmen Diva Saldiva de André, Heinz Roland Weistroffer, M. M. Desu, Brian Boffey and Stephen A. Lewis. Their work appears in journals such as Journal of Statistical Computation and Simulation, Technometrics, European Journal of Operational Research, International Statistical Review and Journal of Quality Technology.

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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