Narayan Rangaraj

947 citations
38 papers · 681 · h-index 12

Impact in

Papers in

Narayan Rangaraj

35 papers receiving 613 citations

Peers

Narayan Rangaraj
Comparison fields: 5 of 79
  • Industrial and Manufacturing Engineering 242
  • Transportation 148
  • Management Information Systems 159
  • Numerical Analysis 81
  • Management Science and Operations Research 181
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Richard D. McBride United States
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Citations per field
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Citations per year

Countries citing papers authored by Narayan Rangaraj

Since Specialization
Citations

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

Fields of papers citing papers by Narayan Rangaraj

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Narayan Rangaraj, 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 Narayan Rangaraj Line = papers co-authored together Narayan Rangaraj links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 38 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2001178
2 201269
3 200862
4 200854
5 199253
6 200540
7 199136
8 201132
9 201420
10 201019
11 201417
12 201612
13 199511
14 201411
15 201010
16 20008
17 20156
18 20225
19 20155
20
A Supply Chain Perspective on Initiatives in the Casting Industry
19974

About Narayan Rangaraj

Narayan Rangaraj is a scholar working on Industrial and Manufacturing Engineering, Strategy and Management, Computer Networks and Communications, Management Information Systems and Transportation, having authored 38 papers that have together received 681 indexed citations. Recurring topics across this work include Railway Systems and Energy Efficiency (7 papers), Transport and Economic Policies (6 papers), Transportation Planning and Optimization (6 papers), Maritime Ports and Logistics (5 papers), Supply Chain and Inventory Management (4 papers), Scheduling and Optimization Algorithms (4 papers), Vehicle Routing Optimization Methods (3 papers) and Optimization and Search Problems (3 papers). The work is most often cited by research in Industrial and Manufacturing Engineering (242 citations), Transportation (148 citations), Management Information Systems (159 citations), Numerical Analysis (81 citations) and Management Science and Operations Research (181 citations). Narayan Rangaraj has collaborated with scholars based in India, Australia and United Arab Emirates. Frequent co-authors include Milind Akarte, B. Ravi, Shih-Ping Han, Jong‐Shi Pang, N. Hemachandra, Mohan Krishnamoorthy, Vishnu Narayanan, G. Raghuram, A.W. Date and Andreas Ernst. Their work appears in journals such as Computers & Operations Research, Sadhana, Transportation Research Part A Policy and Practice, Annals of Operations Research and SIAM Journal on Optimization.

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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