Narayan Rangaraj

947 total citations
38 papers, 681 citations indexed

About

Narayan Rangaraj is a scholar working on Industrial and Manufacturing Engineering, Strategy and Management and Computer Networks and Communications. According to data from OpenAlex, Narayan Rangaraj has authored 38 papers receiving a total of 681 indexed citations (citations by other indexed papers that have themselves been cited), including 17 papers in Industrial and Manufacturing Engineering, 10 papers in Strategy and Management and 7 papers in Computer Networks and Communications. Recurrent topics in Narayan Rangaraj's work include Railway Systems and Energy Efficiency (7 papers), Transportation Planning and Optimization (6 papers) and Transport and Economic Policies (6 papers). Narayan Rangaraj is often cited by papers focused on Railway Systems and Energy Efficiency (7 papers), Transportation Planning and Optimization (6 papers) and Transport and Economic Policies (6 papers). Narayan Rangaraj collaborates with scholars based in India, Australia and United Arab Emirates. Narayan Rangaraj's co-authors include Milind Akarte, B. Ravi, Jong‐Shi Pang, Shih-Ping Han, N. Hemachandra, Mohan Krishnamoorthy, Vishnu Narayanan, G. Raghuram, A.W. Date and Andreas Ernst and has published in prestigious journals such as European Journal of Operational Research, Expert Systems with Applications and International Journal of Production Economics.

In The Last Decade

Narayan Rangaraj

35 papers receiving 613 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Narayan Rangaraj India 12 242 181 159 148 136 38 681
Leena Suhl Germany 19 652 2.7× 239 1.3× 155 1.0× 290 2.0× 92 0.7× 57 1.2k
Weijun Xie United States 16 123 0.5× 391 2.2× 94 0.6× 100 0.7× 54 0.4× 59 965
Richard D. McBride United States 15 270 1.1× 110 0.6× 89 0.6× 73 0.5× 34 0.3× 59 737
Stan van Hoesel Netherlands 13 572 2.4× 133 0.7× 423 2.7× 225 1.5× 119 0.9× 19 876
Kiriakos Vlahos United Kingdom 9 111 0.5× 286 1.6× 113 0.7× 52 0.4× 58 0.4× 14 764
Carmen Galé Spain 16 317 1.3× 111 0.6× 96 0.6× 54 0.4× 74 0.5× 36 831
Tan Miller United States 16 236 1.0× 122 0.7× 221 1.4× 92 0.6× 143 1.1× 29 674
Omar Ben‐Ayed Tunisia 8 130 0.5× 115 0.6× 64 0.4× 170 1.1× 61 0.4× 21 680
Uttam Kumar Bera India 18 124 0.5× 331 1.8× 191 1.2× 49 0.3× 208 1.5× 107 1.0k
Clarisse Dhaenens France 15 484 2.0× 67 0.4× 119 0.7× 47 0.3× 79 0.6× 39 921

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-authorship network of co-authors of Narayan Rangaraj

This figure shows the co-authorship network connecting the top 25 collaborators of Narayan Rangaraj. A scholar is included among the top collaborators of Narayan Rangaraj 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 Narayan Rangaraj. Narayan Rangaraj 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
1.
Jati, Arindam, Seema Nagar, Nam Hoai Nguyen, et al.. (2024). AutoMixer for Improved Multivariate Time-Series Forecasting on Business and IT Observability Data. Proceedings of the AAAI Conference on Artificial Intelligence. 38(21). 22962–22968. 1 indexed citations
2.
Rangaraj, Narayan, et al.. (2024). Heuristic for Railway Crew Scheduling With Connectivity of Schedules. Transportation Research Record Journal of the Transportation Research Board. 2678(8). 873–887. 1 indexed citations
3.
Moiyadi, Aliasgar, et al.. (2023). Implications of use of different intraoperative ultrasound modalities during glioma surgery – A comparative study of factors affecting outcomes. International Journal of Medical Informatics. 177. 105154–105154. 1 indexed citations
4.
Noronha, Santosh, et al.. (2022). Choice of intraoperative ultrasound adjuncts for brain tumor surgery. BMC Medical Informatics and Decision Making. 22(1). 307–307. 5 indexed citations
5.
Belur, Madhu N., et al.. (2019). Development of a railway junction simulator for evaluation of control strategies and capacity utilization optimization. DSpace (IIT Bombay). 260–265. 2 indexed citations
6.
Rangaraj, Narayan, et al.. (2019). Order first split second heuristic for alternative routing strategy for freight railways. Transport Policy. 124. 139–148. 3 indexed citations
7.
Rangaraj, Narayan, et al.. (2018). A novel method to increase the kidney donor pool: A fusion model linking the deceased donor waitlist to a paired kidney exchange program. Indian Journal of Transplantation. 12(3). 187–187. 1 indexed citations
8.
Ernst, Andreas, et al.. (2016). New models and algorithms for the container stack rearrangement problem by yard cranes in maritime ports. EURO Journal on Transportation and Logistics. 6(4). 307–348. 3 indexed citations
9.
Krishnamoorthy, Mohan, et al.. (2015). History-dependent scheduling: Models and algorithms for scheduling with general precedence and sequence dependence. Computers & Operations Research. 64. 245–261. 5 indexed citations
10.
Krishnamoorthy, Mohan, et al.. (2015). Facility location models to locate data in information networks: a literature review. Annals of Operations Research. 246(1-2). 313–348. 6 indexed citations
11.
Rangaraj, Narayan, et al.. (2010). Capacity Management on Long-Distance Passenger Trains of Indian Railways. INFORMS Journal on Applied Analytics. 40(4). 291–302. 10 indexed citations
12.
Rangaraj, Narayan. (2009). An analysis of operations, mode choice, pricing and network economics of container movement.
13.
Rangaraj, Narayan, et al.. (2008). A performance benchmarking study of Indian Railway zones. Benchmarking An International Journal. 15(5). 599–617. 54 indexed citations
14.
Rangaraj, Narayan, et al.. (2007). New organisational competences for supply chain management: a study in the Indian context. International Journal of Value Chain Management. 1(3). 205–205. 2 indexed citations
15.
Rangaraj, Narayan, Milind Sohoni, Prashant Puniya, & Jugal Garg. (2006). Rake linking for suburban train services. OPSEARCH. 43(2). 103–116. 1 indexed citations
16.
Hemachandra, N., et al.. (2005). Perishable inventory management and dynamic pricing using RFID technology. Sadhana. 30(2-3). 445–462. 40 indexed citations
17.
Soman, Chetan & Narayan Rangaraj. (1997). A Supply Chain Perspective on Initiatives in the Casting Industry. 4 indexed citations
18.
Rangaraj, Narayan, et al.. (1995). The influence of development perspectives on the choice of technology. Technological Forecasting and Social Change. 48(1). 27–43. 11 indexed citations
19.
Pang, Jong‐Shi, Shih-Ping Han, & Narayan Rangaraj. (1991). Minimization of Locally Lipschitzian Functions. SIAM Journal on Optimization. 1(1). 57–82. 36 indexed citations
20.
Rangaraj, Narayan. (1991). Nonsmooth optimization: algorithms and applications. 2 indexed citations

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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