Kanchan Das

1.1k total citations
33 papers, 886 citations indexed

About

Kanchan Das is a scholar working on Strategy and Management, Industrial and Manufacturing Engineering and Management Information Systems. According to data from OpenAlex, Kanchan Das has authored 33 papers receiving a total of 886 indexed citations (citations by other indexed papers that have themselves been cited), including 19 papers in Strategy and Management, 14 papers in Industrial and Manufacturing Engineering and 13 papers in Management Information Systems. Recurrent topics in Kanchan Das's work include Sustainable Supply Chain Management (16 papers), Supply Chain Resilience and Risk Management (10 papers) and Assembly Line Balancing Optimization (10 papers). Kanchan Das is often cited by papers focused on Sustainable Supply Chain Management (16 papers), Supply Chain Resilience and Risk Management (10 papers) and Assembly Line Balancing Optimization (10 papers). Kanchan Das collaborates with scholars based in United States, Canada and Bangladesh. Kanchan Das's co-authors include Abdul Hannan Chowdhury, S. Sengupta, R.S. Lashkari, Fazle Baki, Xiangyong Li, Walid Abdul‐Kader, Amitava Mitra, Mangey Ram, Sourav Sengupta and Scott Dellana and has published in prestigious journals such as European Journal of Operational Research, International Journal of Production Economics and International Journal of Production Research.

In The Last Decade

Kanchan Das

32 papers receiving 844 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Kanchan Das United States 16 500 307 274 130 87 33 886
Gudrun P. Kiesmüller Germany 15 329 0.7× 472 1.5× 234 0.9× 79 0.6× 98 1.1× 38 689
GP Gudrun Kiesmüller Netherlands 10 498 1.0× 605 2.0× 181 0.7× 190 1.5× 101 1.2× 13 790
Walid Abdul‐Kader Canada 16 480 1.0× 277 0.9× 198 0.7× 207 1.6× 141 1.6× 34 809
Rami As’ad United Arab Emirates 15 336 0.7× 292 1.0× 194 0.7× 72 0.6× 56 0.6× 35 659
Pelin Bayindir Türkiye 16 489 1.0× 398 1.3× 179 0.7× 201 1.5× 76 0.9× 27 719
Hadi Gholizadeh Iran 14 437 0.9× 263 0.9× 181 0.7× 79 0.6× 112 1.3× 29 741
Refık Güllü Türkiye 18 394 0.8× 635 2.1× 186 0.7× 76 0.6× 143 1.6× 44 822
Herwig Winkler Germany 15 441 0.9× 350 1.1× 512 1.9× 81 0.6× 46 0.5× 85 1.0k
Adnène Hajji Canada 21 371 0.7× 392 1.3× 307 1.1× 91 0.7× 98 1.1× 59 934
Nesim Erkip Türkiye 18 383 0.8× 674 2.2× 302 1.1× 117 0.9× 184 2.1× 45 1.0k

Countries citing papers authored by Kanchan Das

Since Specialization
Citations

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

Fields of papers citing papers by Kanchan Das

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Kanchan Das

This figure shows the co-authorship network connecting the top 25 collaborators of Kanchan Das. A scholar is included among the top collaborators of Kanchan Das 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 Kanchan Das. Kanchan Das 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.
Ram, Mangey & Kanchan Das. (2022). Mathematical Modelling of System Resilience. River Publishers eBooks.
2.
Das, Kanchan, et al.. (2021). A Global Supply Network Design Model: A Resilient Management Approach. International Journal of Mathematical Engineering and Management Sciences. 6(2). 660–676. 11 indexed citations
3.
Edinbarough, Immanuel, Posinasetti Nageswara Rao, & Kanchan Das. (2020). Incorporating Sustainability throughout the Manufacturing Engineering Technology Curriculum. Papers on Engineering Education Repository (American Society for Engineering Education). 24.731.1–24.731.16. 1 indexed citations
4.
Das, Kanchan. (2020). A green and resilient supply chain design model. 9(2/3). 235–235. 2 indexed citations
5.
Das, Kanchan. (2020). Planning Environmental and Economic Sustainability in Closed-Loop Supply Chains. Operations and Supply Chain Management An International Journal. 64–81. 12 indexed citations
6.
Das, Kanchan. (2018). Integrating resilience in a supply chain planning model. International Journal of Quality & Reliability Management. 35(3). 570–595. 14 indexed citations
7.
Das, Kanchan & R.S. Lashkari. (2017). Planning Production Systems Resilience by Linking Supply Chain Operational Factors. Operations and Supply Chain Management An International Journal. 110–129. 1 indexed citations
8.
Das, Kanchan, et al.. (2015). Addressing environmental concerns in closed loop supply chain design and planning. International Journal of Production Economics. 163. 34–47. 82 indexed citations
9.
Das, Kanchan, et al.. (2015). Risk readiness and resiliency planning for a supply chain. International Journal of Production Research. 53(22). 6752–6771. 40 indexed citations
10.
Das, Kanchan & Scott Dellana. (2013). A Quality and Partnering-Based Model for Improving Supply Chain Performance. International Journal of Strategic Decision Sciences. 4(3). 1–31. 3 indexed citations
11.
Das, Kanchan. (2010). A quality integrated strategic level global supply chain model. International Journal of Production Research. 49(1). 5–31. 27 indexed citations
12.
Das, Kanchan. (2010). Integrating effective flexibility measures into a strategic supply chain planning model. European Journal of Operational Research. 211(1). 170–183. 78 indexed citations
13.
Das, Kanchan & Walid Abdul‐Kader. (2010). Consideration of dynamic changes in machine reliability and part demand: a cellular manufacturing systems design model. International Journal of Production Research. 49(7). 2123–2142. 19 indexed citations
14.
Das, Kanchan, et al.. (2008). A new method for bottleneck detection. 2008 Winter Simulation Conference. 1741–1745. 29 indexed citations
15.
Das, Kanchan, R.S. Lashkari, & S. Sengupta. (2008). Integrating Machine Reliability and Preventive Maintenance Planning in Manufacturing Cell Design. Industrial Engineering & Management Systems. 7(2). 113–125. 2 indexed citations
16.
Das, Kanchan, et al.. (2008). A new method for bottleneck detection. Winter Simulation Conference. 1741–1745. 27 indexed citations
17.
Das, Kanchan, Fazle Baki, & Xiangyong Li. (2008). Optimization of operation and changeover time for production planning and scheduling in a flexible manufacturing system. Computers & Industrial Engineering. 56(1). 283–293. 31 indexed citations
18.
Das, Kanchan. (2007). A comparative study of exponential distribution vs Weibull distribution in machine reliability analysis in a CMS design. Computers & Industrial Engineering. 54(1). 12–33. 57 indexed citations
19.
Das, Kanchan, R.S. Lashkari, & Sourav Sengupta. (2006). Reliability considerations in the design of cellular manufacturing systems. International Journal of Quality & Reliability Management. 23(7). 880–904. 10 indexed citations
20.
Das, Kanchan, R.S. Lashkari, & S. Sengupta. (2006). Reliability consideration in the design and analysis of cellular manufacturing systems. International Journal of Production Economics. 105(1). 243–262. 51 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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