Shivaram Subramanian

596 total citations
19 papers, 393 citations indexed

About

Shivaram Subramanian is a scholar working on Artificial Intelligence, Marketing and Management Information Systems. According to data from OpenAlex, Shivaram Subramanian has authored 19 papers receiving a total of 393 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Artificial Intelligence, 5 papers in Marketing and 4 papers in Management Information Systems. Recurrent topics in Shivaram Subramanian's work include Consumer Market Behavior and Pricing (5 papers), Supply Chain and Inventory Management (4 papers) and Transportation Planning and Optimization (3 papers). Shivaram Subramanian is often cited by papers focused on Consumer Market Behavior and Pricing (5 papers), Supply Chain and Inventory Management (4 papers) and Transportation Planning and Optimization (3 papers). Shivaram Subramanian collaborates with scholars based in United States, Canada and United Kingdom. Shivaram Subramanian's co-authors include Hanif D. Sherali, Pavithra Harsha, Joline Uichanco, G. V. Loganathan, Theodore S. Glickman, Markus Ettl, Kaan Özbay, Soumyadip Ghosh, J. R. M. Hosking and Ramesh Natarajan and has published in prestigious journals such as Management Science, Operations Research and Transportation Science.

In The Last Decade

Shivaram Subramanian

19 papers receiving 367 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Shivaram Subramanian United States 11 112 107 83 65 59 19 393
Mengshi Lu United States 10 71 0.6× 174 1.6× 63 0.8× 11 0.2× 80 1.4× 24 490
Eda Yücel Türkiye 11 42 0.4× 67 0.6× 199 2.4× 43 0.7× 186 3.2× 23 429
Omar Ben‐Ayed Tunisia 8 22 0.2× 64 0.6× 130 1.6× 22 0.3× 70 1.2× 21 680
Soroush Avakh Darestani Iran 13 28 0.3× 147 1.4× 120 1.4× 10 0.2× 79 1.3× 62 546
Richard D. Wollmer United States 8 54 0.5× 171 1.6× 97 1.2× 233 3.6× 112 1.9× 20 602
Mehdi Seifbarghy Iran 14 58 0.5× 299 2.8× 192 2.3× 15 0.2× 70 1.2× 77 604
Nader Azad Iran 12 35 0.3× 315 2.9× 243 2.9× 25 0.4× 184 3.1× 25 740
Bernardo Villarreal Mexico 15 39 0.3× 264 2.5× 168 2.0× 19 0.3× 31 0.5× 34 563
Gyu M. Lee South Korea 14 20 0.2× 52 0.5× 197 2.4× 25 0.4× 143 2.4× 35 487
Mostafa Setak Iran 15 76 0.7× 125 1.2× 286 3.4× 8 0.1× 121 2.1× 51 552

Countries citing papers authored by Shivaram Subramanian

Since Specialization
Citations

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

Fields of papers citing papers by Shivaram Subramanian

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Shivaram Subramanian

This figure shows the co-authorship network connecting the top 25 collaborators of Shivaram Subramanian. A scholar is included among the top collaborators of Shivaram Subramanian 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 Shivaram Subramanian. Shivaram Subramanian is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

19 of 19 papers shown
1.
Subramanian, Shivaram, et al.. (2024). PresAIse, a prescriptive AI solution for enterprise. INFOR Information Systems and Operational Research. 62(4). 629–645. 1 indexed citations
2.
Subramanian, Shivaram & Wei Sun. (2023). Scalable Optimal Multiway-Split Decision Trees with Constraints. Proceedings of the AAAI Conference on Artificial Intelligence. 37(8). 9891–9899. 1 indexed citations
3.
Subramanian, Shivaram, Wei Sun, Youssef Drissi, & Markus Ettl. (2022). Constrained Prescriptive Trees via Column Generation. Proceedings of the AAAI Conference on Artificial Intelligence. 36(4). 4602–4610. 4 indexed citations
4.
Subramanian, Shivaram, et al.. (2022). Attribute-based Pricing: A Novel Formulation and Convergent Algorithms. SSRN Electronic Journal. 1 indexed citations
5.
Subramanian, Shivaram & Pavithra Harsha. (2020). Demand Modeling in the Presence of Unobserved Lost Sales. Management Science. 67(6). 3803–3833. 16 indexed citations
6.
Harsha, Pavithra, Shivaram Subramanian, & Markus Ettl. (2019). A Practical Price Optimization Approach for Omnichannel Retailing. 1(3). 241–264. 28 indexed citations
7.
Harsha, Pavithra, Shivaram Subramanian, & Joline Uichanco. (2019). Dynamic Pricing of Omnichannel Inventories. Manufacturing & Service Operations Management. 21(1). 47–65. 80 indexed citations
8.
Hosking, J. R. M., et al.. (2013). Short‐term forecasting of the daily load curve for residential electricity usage in the Smart Grid. Applied Stochastic Models in Business and Industry. 29(6). 604–620. 19 indexed citations
9.
Hosking, J. R. M., et al.. (2013). Rejoinder to the discussion of ‘Short‐term forecasting of the daily load curve for residential electricity usage in the smart grid’. Applied Stochastic Models in Business and Industry. 29(6). 626–628. 2 indexed citations
10.
Subramanian, Shivaram, Soumyadip Ghosh, J. R. M. Hosking, Ramesh Natarajan, & Xiaoxuan Zhang. (2013). Dynamic price optimization models for managing time-of-day electricity usage. 163–168. 6 indexed citations
11.
Subramanian, Shivaram & Hanif D. Sherali. (2009). A fractional programming approach for retail category price optimization. Journal of Global Optimization. 48(2). 263–277. 23 indexed citations
12.
Subramanian, Shivaram & Hanif D. Sherali. (2008). An Effective Deflected Subgradient Optimization Scheme for Implementing Column Generation for Large-Scale Airline Crew Scheduling Problems. INFORMS journal on computing. 20(4). 565–578. 16 indexed citations
13.
Loganathan, G. V., et al.. (2002). Optimal Design-Rehabilitation Strategies for Reliable Water Distribution Systems. VTechWorks (Virginia Tech). 2 indexed citations
14.
Sherali, Hanif D., et al.. (2002). Global Optimization Procedures for the Capacitated Euclidean and lp Distance Multifacility Location-Allocation Problems. Operations Research. 50(3). 433–448. 35 indexed citations
15.
Sherali, Hanif D., Shivaram Subramanian, & G. V. Loganathan. (2001). Effective Relaxations and Partitioning Schemes for Solving Water Distribution Network Design Problems to Global Optimality. Journal of Global Optimization. 19(1). 1–26. 54 indexed citations
16.
Sherali, Hanif D. & Shivaram Subramanian. (1999). Opportunity Cost-Based Models for Traffic Incident Response Problems. Journal of Transportation Engineering. 125(3). 176–185. 25 indexed citations
17.
Sherali, Hanif D., Shivaram Subramanian, & Pushkin Kachroo. (1998). <title>Incident response: crew scheduling and rerouting of hazmat carriers</title>. Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE. 3207. 258–269. 3 indexed citations
18.
Sherali, Hanif D., Kaan Özbay, & Shivaram Subramanian. (1998). The time-dependent shortest pair of disjoint paths problem: Complexity, models, and algorithms. Networks. 31(4). 259–272. 30 indexed citations
19.
Sherali, Hanif D., et al.. (1997). Low Probability—High Consequence Considerations in Routing Hazardous Material Shipments. Transportation Science. 31(3). 237–251. 47 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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