Sudarshan Bardhan

641 total citations
28 papers, 513 citations indexed

About

Sudarshan Bardhan is a scholar working on Management Information Systems, Strategy and Management and Marketing. According to data from OpenAlex, Sudarshan Bardhan has authored 28 papers receiving a total of 513 indexed citations (citations by other indexed papers that have themselves been cited), including 28 papers in Management Information Systems, 23 papers in Strategy and Management and 6 papers in Marketing. Recurrent topics in Sudarshan Bardhan's work include Supply Chain and Inventory Management (28 papers), Sustainable Supply Chain Management (23 papers) and Consumer Market Behavior and Pricing (5 papers). Sudarshan Bardhan is often cited by papers focused on Supply Chain and Inventory Management (28 papers), Sustainable Supply Chain Management (23 papers) and Consumer Market Behavior and Pricing (5 papers). Sudarshan Bardhan collaborates with scholars based in India and United States. Sudarshan Bardhan's co-authors include Bibhas C. Giri, T. Maiti and Kripasindhu Chaudhuri and has published in prestigious journals such as Journal of Cleaner Production, International Journal of Production Economics and International Journal of Production Research.

In The Last Decade

Sudarshan Bardhan

24 papers receiving 489 citations

Peers

Sudarshan Bardhan
Sudarshan Bardhan
Citations per year, relative to Sudarshan Bardhan Sudarshan Bardhan (= 1×) peers Ping-Hui Hsu

Countries citing papers authored by Sudarshan Bardhan

Since Specialization
Citations

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

Fields of papers citing papers by Sudarshan Bardhan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Sudarshan Bardhan

This figure shows the co-authorship network connecting the top 25 collaborators of Sudarshan Bardhan. A scholar is included among the top collaborators of Sudarshan Bardhan 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 Sudarshan Bardhan. Sudarshan Bardhan 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.
Bardhan, Sudarshan, et al.. (2025). Dynamic pricing and preservation strategy for a two-echelon perishable supply chain model with price and time sensitive demand. Operational Research. 25(3). 1 indexed citations
2.
Giri, Bibhas C., et al.. (2025). Vendor managed inventory under price-and-stock-dependent demand, buyer’s space limitations and preservation investment. IMA Journal of Management Mathematics. 36(4). 963–989.
3.
Bardhan, Sudarshan, et al.. (2025). Optimal dynamic pricing and preservation policies under quality-, stock- and price-sensitive demand with partial backlogging and controllable lead time. International Journal of Systems Science Operations & Logistics. 12(1).
4.
Bardhan, Sudarshan, et al.. (2024). Random pricing, product collection, and green investment strategies in a closed-loop supply chain with price dependent demand and remanufacturing. Journal of Cleaner Production. 486. 144523–144523. 4 indexed citations
5.
Bardhan, Sudarshan, et al.. (2024). A deteriorating consigned vendor-buyer model with stock-, freshness- and dynamic price-dependent demand under space limitation. Journal of Management Analytics. 11(4). 675–704.
6.
Bardhan, Sudarshan, et al.. (2024). A multi-period inventory model with price, time and service level dependent demand under preservation technology investment. European J of Industrial Engineering. 19(1). 18–44. 2 indexed citations
7.
Bardhan, Sudarshan, et al.. (2023). Consignment based integrated inventory model for deteriorating goods with price- and green-sensitive demand. Sadhana. 49(1). 3 indexed citations
8.
Giri, Bibhas C., et al.. (2023). A multi-period inventory model with price, time and service level dependent demand under preservation technology investment. European J of Industrial Engineering. 19(1). 1 indexed citations
9.
Bardhan, Sudarshan, et al.. (2021). Optimal production time and preservation technology investment for seasonal deteriorating products with a generalised ramp-type demand. International Journal of Mathematics in Operational Research. 20(1). 123–123.
10.
Bardhan, Sudarshan, et al.. (2017). Optimal replenishment policy and preservation technology investment for a non-instantaneous deteriorating item with stock-dependent demand. Operational Research. 19(2). 347–368. 57 indexed citations
11.
Bardhan, Sudarshan, et al.. (2017). Optimal replenishment policy for non-instantaneously perishable items with preservation technology and random deterioration start time. International Journal of Management Science and Engineering Management. 13(3). 188–199. 29 indexed citations
12.
Giri, Bibhas C. & Sudarshan Bardhan. (2017). Sub-supply chain coordination in a three-layer chain under demand uncertainty and random yield in production. International Journal of Production Economics. 191. 66–73. 36 indexed citations
13.
Giri, Bibhas C. & Sudarshan Bardhan. (2016). Coordinating a two-echelon supply chain with price and inventory level dependent demand, time dependent holding cost, and partial backlogging. International Journal of Mathematics in Operational Research. 8(4). 406–423. 3 indexed citations
14.
Giri, Bibhas C. & Sudarshan Bardhan. (2015). Coordinating a supply chain under uncertain demand and random yield in presence of supply disruption. International Journal of Production Research. 53(16). 5070–5084. 64 indexed citations
15.
Giri, Bibhas C., Sudarshan Bardhan, & T. Maiti. (2015). Coordinating a three-layer supply chain with uncertain demand and random yield. International Journal of Production Research. 54(8). 2499–2518. 61 indexed citations
16.
Giri, Bibhas C. & Sudarshan Bardhan. (2015). A vendor–buyer JELS model with stock-dependent demand and consigned inventory under buyer’s space constraint. Operational Research. 15(1). 79–93. 30 indexed citations
17.
Giri, Bibhas C. & Sudarshan Bardhan. (2015). Coordinating a two-echelon supply chain with environmentally aware consumers. International Journal of Management Science and Engineering Management. 11(3). 178–185. 14 indexed citations
18.
Giri, Bibhas C. & Sudarshan Bardhan. (2014). Coordinating a supply chain with backup supplier through buyback contract under supply disruption and uncertain demand. International Journal of Systems Science Operations & Logistics. 1(4). 193–204. 79 indexed citations
19.
Giri, Bibhas C., Sudarshan Bardhan, & T. Maiti. (2013). Coordinating a two-echelon supply chain through different contracts under price and promotional effort-dependent demand. Journal of Systems Science and Systems Engineering. 22(3). 295–318. 20 indexed citations
20.
Giri, Bibhas C. & Sudarshan Bardhan. (2011). Supply chain coordination for a deteriorating item with stock and price‐dependent demand under revenue sharing contract. International Transactions in Operational Research. 19(5). 753–768. 58 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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