Manik Chandra Das

596 total citations
22 papers, 448 citations indexed

About

Manik Chandra Das is a scholar working on Management Science and Operations Research, Management Information Systems and Automotive Engineering. According to data from OpenAlex, Manik Chandra Das has authored 22 papers receiving a total of 448 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Management Science and Operations Research, 5 papers in Management Information Systems and 4 papers in Automotive Engineering. Recurrent topics in Manik Chandra Das's work include Multi-Criteria Decision Making (7 papers), Quality and Supply Management (5 papers) and Efficiency Analysis Using DEA (4 papers). Manik Chandra Das is often cited by papers focused on Multi-Criteria Decision Making (7 papers), Quality and Supply Management (5 papers) and Efficiency Analysis Using DEA (4 papers). Manik Chandra Das collaborates with scholars based in India, Nepal and China. Manik Chandra Das's co-authors include Bijan Sarkar, Bijan Sarkar, Rajnish Kumar Singh, Tapas Biswas, Parijat Upadhyay, Pranab K. Dan, R. K. Biswas, Arunanshu S. Kuar, Suvanjan Bhattacharyya and S. Mitra and has published in prestigious journals such as SHILAP Revista de lepidopterología, Chemistry - An Asian Journal and Optics & Laser Technology.

In The Last Decade

Manik Chandra Das

20 papers receiving 415 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Manik Chandra Das India 12 217 102 69 67 49 22 448
Mohsen Zareinejad Iran 7 176 0.8× 157 1.5× 133 1.9× 79 1.2× 19 0.4× 8 474
Serkan Eti Türkiye 14 174 0.8× 70 0.7× 60 0.9× 33 0.5× 33 0.7× 88 522
Zhenfeng Liu China 13 58 0.3× 80 0.8× 137 2.0× 35 0.5× 103 2.1× 41 473
Mehmet Güray Güler Türkiye 14 121 0.6× 194 1.9× 96 1.4× 35 0.5× 45 0.9× 37 537
Dariush Khezrimotlagh United States 12 297 1.4× 113 1.1× 36 0.5× 81 1.2× 8 0.2× 38 495
Juan‐Carlos Ferrer Chile 16 209 1.0× 147 1.4× 25 0.4× 67 1.0× 19 0.4× 27 671
Gülay Demir Türkiye 12 196 0.9× 66 0.6× 18 0.3× 41 0.6× 14 0.3× 44 427
Sungyong Choi South Korea 12 181 0.8× 193 1.9× 23 0.3× 29 0.4× 19 0.4× 48 560
Ladimer S. Nagurney United States 13 44 0.2× 197 1.9× 32 0.5× 54 0.8× 29 0.6× 41 491

Countries citing papers authored by Manik Chandra Das

Since Specialization
Citations

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

Fields of papers citing papers by Manik Chandra Das

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Manik Chandra Das

This figure shows the co-authorship network connecting the top 25 collaborators of Manik Chandra Das. A scholar is included among the top collaborators of Manik Chandra 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 Manik Chandra Das. Manik Chandra 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.
Das, Manik Chandra, Uttam Kumar Das, Nandan Bhattacharyya, et al.. (2025). Terephthyl-linked acyl hydrazone-based K+/Cl− ion pair symporter: synthesis, mechanistic insights, and in vitro cytotoxicity evaluation. Bioorganic Chemistry. 166. 109136–109136.
2.
Das, Manik Chandra, Uttam Kumar Das, Bidhan Chandra Samanta, et al.. (2024). Efficient and Visual Detention of Ammonia and TNP Vapors by a Sustainable Highly Luminescent 1D Zn(II) Coordination Polymer. Chemistry - An Asian Journal. 20(5). e202401310–e202401310. 4 indexed citations
3.
Das, Manik Chandra, et al.. (2024). A decision support system for the selection of FDM process parameters using MOORA. Management Science Letters. 14(3). 181–188. 4 indexed citations
4.
5.
Das, Manik Chandra, et al.. (2022). Productivity improvement using different lean approaches in small and medium enterprises (SMEs). Management Science Letters. 13(1). 51–64. 2 indexed citations
6.
Das, Manik Chandra, et al.. (2020). Selection of the barriers of supply chain management in Indian manufacturing sectors due to Covid-19 impacts. SHILAP Revista de lepidopterología. 3(3). 48 indexed citations
7.
Das, Manik Chandra, et al.. (2020). A framework of quality management practices for Indian service SMEs. Quality Management Journal. 27(1). 62–75. 11 indexed citations
8.
Das, Manik Chandra, et al.. (2019). MCDM technique application to the selection of an Indian institute of technology. SHILAP Revista de lepidopterología. 12 indexed citations
9.
Biswas, Tapas, et al.. (2019). Application of MCDM technique for the selection of Indian institute of technology- a novel approach. 2(3). 65–76. 11 indexed citations
10.
Biswas, R. K., Manik Chandra Das, Suvanjan Bhattacharyya, Arunanshu S. Kuar, & S. Mitra. (2019). Selection of Nd:YAG laser beam micro-drilling parameters using multi-criteria decision making methods. Optics & Laser Technology. 119. 105596–105596. 10 indexed citations
11.
Das, Manik Chandra, et al.. (2019). Comparative performance of electric vehicles using evaluation of mixed data. OPSEARCH. 56(3). 1067–1090. 25 indexed citations
12.
Das, Manik Chandra, et al.. (2017). Selection of hybrid vehicle for green environment using multi-attributive border approximation area comparison method. Management Science Letters. 121–130. 23 indexed citations
13.
Das, Manik Chandra, et al.. (2015). A performance evaluation framework for technical institutions in one of the states of India. Benchmarking An International Journal. 22(5). 773–790. 13 indexed citations
14.
Das, Manik Chandra, et al.. (2013). A decision support framework for performance evaluation of Indian technical institutions. SHILAP Revista de lepidopterología. 2(4). 257–274. 14 indexed citations
15.
Das, Manik Chandra, et al.. (2013). Comparative evaluation of Indian technical institutions using distance based approach method. Benchmarking An International Journal. 20(5). 568–587. 7 indexed citations
16.
Das, Manik Chandra, et al.. (2012). Decision making under conflicting environment: a new MCDM method. International Journal of Applied Decision Sciences. 5(2). 142–142. 40 indexed citations
17.
Das, Manik Chandra, et al.. (2012). On the performance of Indian technical institutions: a combined SOWIA-MOORA approach. OPSEARCH. 50(3). 319–333. 20 indexed citations
18.
Upadhyay, Parijat, et al.. (2012). An approach to identify issues affecting ERP implementation in Indian SMEs. Journal of Industrial Engineering and Management. 5(1). 12 indexed citations
19.
Das, Manik Chandra, et al.. (2012). Comparative evaluation of Indian technical institutions using fuzzy AHP and MOORA. 2(1). 74–74. 12 indexed citations
20.
Das, Manik Chandra, et al.. (2011). A framework to measure relative performance of Indian technical institutions using integrated fuzzy AHP and COPRAS methodology. Socio-Economic Planning Sciences. 46(3). 230–241. 114 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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