Debamalya Banerjee

543 total citations
42 papers, 383 citations indexed

About

Debamalya Banerjee is a scholar working on Polymers and Plastics, Management Science and Operations Research and Industrial and Manufacturing Engineering. According to data from OpenAlex, Debamalya Banerjee has authored 42 papers receiving a total of 383 indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Polymers and Plastics, 9 papers in Management Science and Operations Research and 9 papers in Industrial and Manufacturing Engineering. Recurrent topics in Debamalya Banerjee's work include Textile materials and evaluations (15 papers), Multi-Criteria Decision Making (8 papers) and Sustainable Supply Chain Management (5 papers). Debamalya Banerjee is often cited by papers focused on Textile materials and evaluations (15 papers), Multi-Criteria Decision Making (8 papers) and Sustainable Supply Chain Management (5 papers). Debamalya Banerjee collaborates with scholars based in India, Australia and Germany. Debamalya Banerjee's co-authors include Amitava Ray, Anupam Haldar, Anindya Ghosh, Abhijit Majumdar, Dipak Kumar Jana, Prithwiraj Mal, Prabal Kumar Majumdar, Bijan Sarkar, Bijan Sarkar and Sandipan Chatterjee and has published in prestigious journals such as SHILAP Revista de lepidopterología, Applied Surface Science and Soft Computing.

In The Last Decade

Debamalya Banerjee

36 papers receiving 362 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Debamalya Banerjee India 11 172 143 102 78 47 42 383
Nasr Al‐Hinai Oman 10 47 0.3× 35 0.2× 94 0.9× 46 0.6× 286 6.1× 32 508
Haruo Ishikawa Japan 10 64 0.4× 52 0.4× 17 0.2× 31 0.4× 96 2.0× 51 353
RR Rao India 5 66 0.4× 175 1.2× 14 0.1× 17 0.2× 105 2.2× 6 501
Svetlana Dabić-Miletić Serbia 10 65 0.4× 104 0.7× 10 0.1× 13 0.2× 57 1.2× 25 299
Effendi Mohamad Malaysia 10 73 0.4× 17 0.1× 13 0.1× 123 1.6× 156 3.3× 107 400
Zakaria Dakhli France 12 47 0.3× 77 0.5× 12 0.1× 41 0.5× 56 1.2× 23 374
Yoon-Eui Nahm South Korea 11 67 0.4× 61 0.4× 5 0.0× 32 0.4× 85 1.8× 16 324
P.S.S. Prasad India 8 130 0.8× 60 0.4× 3 0.0× 161 2.1× 86 1.8× 23 401
Saad M. A. Suliman Bahrain 9 62 0.4× 68 0.5× 8 0.1× 52 0.7× 160 3.4× 32 356
Kwang‐Jae Kim South Korea 8 41 0.2× 219 1.5× 5 0.0× 32 0.4× 52 1.1× 10 408

Countries citing papers authored by Debamalya Banerjee

Since Specialization
Citations

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

Fields of papers citing papers by Debamalya Banerjee

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Debamalya Banerjee

This figure shows the co-authorship network connecting the top 25 collaborators of Debamalya Banerjee. A scholar is included among the top collaborators of Debamalya Banerjee 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 Debamalya Banerjee. Debamalya Banerjee 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.
Banerjee, Debamalya, et al.. (2023). Postural Assessment of Indian Excavation Workers and Prototype Design of Virtual Iron-Pan. International Journal of experimental research and review. 36. 388–404.
2.
Banerjee, Debamalya, et al.. (2022). Trap assisted charge transport and Schottky like conduction in CVD-grown amorphous SiCxOy-Si heterojunction. Applied Surface Science. 595. 153378–153378.
3.
Ghosh, Anindya, et al.. (2021). Estimation of raw silk quality using rough set theory. Journal of the Textile Institute. 113(11). 2352–2357. 2 indexed citations
4.
Banerjee, Debamalya, et al.. (2021). A group evaluation method for supplier selection based on interval type-2 fuzzy TOPSIS method. International Journal of Business Performance and Supply Chain Modelling. 12(1). 1–1. 1 indexed citations
5.
Banerjee, Debamalya, et al.. (2020). Postural stress analysis with MSD symptoms of welders and solution for workstation design. 1(1). 4–4. 4 indexed citations
6.
Banerjee, Debamalya, et al.. (2020). Analysis of posture and discomfort feelings of grinders in different foundries in West Bengal. International Journal of Community Medicine and Public Health. 7(12). 4805–4805.
7.
Banerjee, Debamalya, et al.. (2019). Health Status of Grinders in Different Foundries in West Bengal. International Journal of experimental research and review. 20. 1–9. 1 indexed citations
8.
Ghosh, Anindya, et al.. (2018). Silk Cocoons Quality Characterization By Fuzzy Control Chart. 11(12). 1 indexed citations
9.
Ghosh, Anindya, et al.. (2018). Effect of Blending Methodologies on Cotton Mélange Yarn Quality. Fibres and Textiles in Eastern Europe. 26(5(131)). 41–46. 18 indexed citations
10.
Mal, Prithwiraj, Anindya Ghosh, Abhijit Majumdar, & Debamalya Banerjee. (2016). Engineering of Knitted Cotton Fabrics for Optimum Comfort in a Hot Climate. Fibres and Textiles in Eastern Europe. 24(2(116)). 102–106. 6 indexed citations
11.
Ghosh, Anindya, Prithwiraj Mal, Abhijit Majumdar, & Debamalya Banerjee. (2016). An Investigation On Air and Thermal Transmission Through Knitted Fabric Structures Using the Taguchi Method. Autex Research Journal. 17(2). 152–163. 12 indexed citations
12.
Ghosh, Anindya, Prithwiraj Mal, Abhijit Majumdar, & Debamalya Banerjee. (2016). Analysis of Knitting Process Variables and Yarn Count Influencing the Thermo-physiological Comfort Properties of Single Jersey and Rib Fabrics. Journal of The Institution of Engineers (India) Series E. 97(2). 89–98. 5 indexed citations
13.
Chatterjee, Sandipan, et al.. (2015). Indian Classical Dancing: An Approach for Obesity Management. 3(1). 29–34. 1 indexed citations
14.
Banerjee, Debamalya, et al.. (2015). A comparative analysis of different hybrid MCDM techniques considering a case of selection of 3D printers. SHILAP Revista de lepidopterología. 5(7). 695–708. 13 indexed citations
15.
Majumdar, Prabal Kumar, et al.. (2014). Production of Engineered Fabrics Using Artificial Neural Network–Genetic Algorithm Hybrid Model. Journal of The Institution of Engineers (India) Series E. 96(2). 159–165. 7 indexed citations
16.
Ghosh, Anindya, et al.. (2013). Engineering design of woven fabrics using non-traditional optimization methods: A comparative study. Fibers and Polymers. 14(9). 1562–1567. 2 indexed citations
17.
Ghosh, Anindya, et al.. (2013). Yarn engineering using hybrid artificial neural network-genetic algorithm model. Fibers and Polymers. 14(7). 1220–1226. 22 indexed citations
18.
Ghosh, Anindya, et al.. (2013). Multi Objective Optimization of Yarn Quality and Fibre Quality Using Evolutionary Algorithm. Journal of The Institution of Engineers (India) Series E. 94(1). 15–21. 8 indexed citations
19.
Banerjee, Debamalya, et al.. (2011). Noise Exposure Parameters of Auto Rickshaws Compare by Statistical Regression Technique. International Journal of Environmental Science and Development. 355–361. 1 indexed citations
20.
Banerjee, Debamalya, et al.. (2010). Study and Comparison of the Noise Dose on Workers in a Small Scale Industry in West Bengal, India. International Journal of Environmental Science and Development. 364–367. 6 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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