Samir Barman

844 total citations
33 papers, 633 citations indexed

About

Samir Barman is a scholar working on Management Information Systems, Industrial and Manufacturing Engineering and Management Science and Operations Research. According to data from OpenAlex, Samir Barman has authored 33 papers receiving a total of 633 indexed citations (citations by other indexed papers that have themselves been cited), including 16 papers in Management Information Systems, 10 papers in Industrial and Manufacturing Engineering and 8 papers in Management Science and Operations Research. Recurrent topics in Samir Barman's work include Supply Chain and Inventory Management (12 papers), Scheduling and Optimization Algorithms (9 papers) and Advanced Manufacturing and Logistics Optimization (7 papers). Samir Barman is often cited by papers focused on Supply Chain and Inventory Management (12 papers), Scheduling and Optimization Algorithms (9 papers) and Advanced Manufacturing and Logistics Optimization (7 papers). Samir Barman collaborates with scholars based in United States, India and Portugal. Samir Barman's co-authors include Richard J. Tersine, R. Lawrence LaForge, Mark Hanna, M. Ronald Buckley, João V. Lisboa, Carlos Gomes da Silva, José Rui Figueira, Robert T. Barrett, John S. Morris and Paul D. Larson and has published in prestigious journals such as European Journal of Operational Research, Journal of Operations Management and International Journal of Production Research.

In The Last Decade

Samir Barman

28 papers receiving 589 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Samir Barman United States 14 371 232 226 111 91 33 633
J. Wayne Patterson United States 14 474 1.3× 293 1.3× 244 1.1× 253 2.3× 45 0.5× 30 859
A.P. Mühlemann United Kingdom 17 250 0.7× 284 1.2× 181 0.8× 120 1.1× 75 0.8× 44 679
Navee Chiadamrong Thailand 13 176 0.5× 144 0.6× 186 0.8× 123 1.1× 41 0.5× 65 533
Farzad Mahmoodi United States 19 416 1.1× 445 1.9× 421 1.9× 115 1.0× 29 0.3× 49 979
Anders Thorstenson Denmark 18 477 1.3× 261 1.1× 258 1.1× 148 1.3× 34 0.4× 34 698
Umar M. Al‐Turki Saudi Arabia 15 214 0.6× 260 1.1× 177 0.8× 124 1.1× 59 0.6× 34 712
Nicoleta S. Tipi United Kingdom 11 247 0.7× 115 0.5× 214 0.9× 71 0.6× 30 0.3× 34 535
Eric Sucky Germany 14 442 1.2× 130 0.6× 327 1.4× 150 1.4× 29 0.3× 29 615
Jacob Wijngaard Netherlands 13 454 1.2× 148 0.6× 328 1.5× 135 1.2× 30 0.3× 34 703
Jaya Singhal United States 11 286 0.8× 105 0.5× 248 1.1× 124 1.1× 25 0.3× 27 593

Countries citing papers authored by Samir Barman

Since Specialization
Citations

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

Fields of papers citing papers by Samir Barman

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Samir Barman

This figure shows the co-authorship network connecting the top 25 collaborators of Samir Barman. A scholar is included among the top collaborators of Samir Barman 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 Samir Barman. Samir Barman 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.
Tripathi, Suman Lata, et al.. (2025). Automated mushroom classification: a PyCaret-optimized machine learning tool for identifying poisonous and edible mushrooms. Journal of Food Measurement & Characterization. 20(1). 1127–1138.
2.
Kumar, Rajeev Ranjan, Mrinmoy Ray, Samir Barman, et al.. (2024). Transformer-based deep learning architecture for time series forecasting. Software Impacts. 22. 100716–100716. 10 indexed citations
3.
Barman, Samir, et al.. (2024). Long-Term Effects of the Dana Center Mathematics Pathways Model: Evidence from a Randomized Trial. Journal of Research on Educational Effectiveness. 18(4). 980–1007.
4.
Paul, Ranjit Kumar, et al.. (2023). An MRA Based MLR Model for Forecasting Indian Annual Rainfall Using Large Scale Climate Indices. International Journal of Environment and Climate Change. 13(5). 137–150. 4 indexed citations
5.
Bose, D. N., et al.. (2018). Capacity decision under preset service level and process flexibility. Journal of Modelling in Management. 13(3). 755–772. 3 indexed citations
6.
Bose, D. N., et al.. (2016). Towards dominant flexibility configurations in strategic capacity planning under demand uncertainty. OPSEARCH. 53(3). 604–619. 2 indexed citations
7.
Barman, Samir, et al.. (2015). A Survey of Mass Customization in Practice. 4(1). 14 indexed citations
8.
Hanna, Mark & Samir Barman. (2014). A blueprint for mass customisation in higher education. 5(4). 324–324. 1 indexed citations
9.
Silva, Carlos Gomes da, José Rui Figueira, João V. Lisboa, & Samir Barman. (2004). An interactive decision support system for an aggregate production planning model based on multiple criteria mixed integer linear programming. Omega. 34(2). 167–177. 76 indexed citations
10.
Barman, Samir, Mark Hanna, & R. Lawrence LaForge. (2001). Perceived relevance and quality of POM journals: a decade later. Journal of Operations Management. 19(3). 367–385. 101 indexed citations
11.
Barman, Samir. (1998). The impact of priority rule combinations on lateness and tardiness. IIE Transactions. 30(5). 495–504. 39 indexed citations
12.
Barman, Samir. (1997). Simple priority rule combinations: An approach to improve both flow time and tardiness. International Journal of Production Research. 35(10). 2857–2870. 38 indexed citations
13.
Tersine, Richard J., et al.. (1995). Composite lot sizing with quantity and freight discounts. Computers & Industrial Engineering. 28(1). 107–122. 18 indexed citations
14.
Tersine, Richard J., Samir Barman, & John S. Morris. (1992). A composite EOQ model for situational decomposition. Computers & Industrial Engineering. 22(3). 283–295. 17 indexed citations
15.
Tersine, Richard J. & Samir Barman. (1991). LOT SIZE OPTIMIZATION WITH QUANTITY AND FREIGHT RATE DISCOUNTS. Logistics and transportation review. 27(4). 23 indexed citations
16.
Barman, Samir, Richard J. Tersine, & M. Ronald Buckley. (1991). An empirical assessment of the perceived relevance and quality of POM‐related journals by academicians. Journal of Operations Management. 10(2). 194–212. 94 indexed citations
17.
Tersine, Richard J. & Samir Barman. (1991). Economic Inventory/Transport Lot, Sizing with Quantity and Freight Rate Discounts. Decision Sciences. 22(5). 1171–1179. 47 indexed citations
18.
Tersine, Richard J., Paul D. Larson, & Samir Barman. (1989). AN ECONOMIC INVENTORY TRANSPORT MODEL WITH FREIGHT RATE DISCOUNTS. Logistics and transportation review. 25(4). 12 indexed citations
19.
Barman, Samir, et al.. (1989). The production switching heuristic: A practical revision. International Journal of Production Research. 27(11). 1863–1875. 8 indexed citations
20.
Barman, Samir. (1987). A Comparison of the Relative Performances of Several Aggregate Scheduling Models. TigerPrints (Clemson University). 1 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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