Munmun Dey

848 total citations
10 papers, 720 citations indexed

About

Munmun Dey is a scholar working on Economics and Econometrics, Renewable Energy, Sustainability and the Environment and Materials Chemistry. According to data from OpenAlex, Munmun Dey has authored 10 papers receiving a total of 720 indexed citations (citations by other indexed papers that have themselves been cited), including 2 papers in Economics and Econometrics, 2 papers in Renewable Energy, Sustainability and the Environment and 2 papers in Materials Chemistry. Recurrent topics in Munmun Dey's work include Advanced Photocatalysis Techniques (2 papers), TiO2 Photocatalysis and Solar Cells (2 papers) and Lignin and Wood Chemistry (1 paper). Munmun Dey is often cited by papers focused on Advanced Photocatalysis Techniques (2 papers), TiO2 Photocatalysis and Solar Cells (2 papers) and Lignin and Wood Chemistry (1 paper). Munmun Dey collaborates with scholars based in India and United States. Munmun Dey's co-authors include Amarjyoti Choudhury, Biswajit Choudhury, James D. Crapo, Ye‐Shih Ho, Santinath Ghosh, Arijit Ghosh, A. Roy, Sankar Prasad Mondal, Anirban Sarkar and Abhijit Bandyopadhyay and has published in prestigious journals such as American Journal of Physiology-Lung Cellular and Molecular Physiology, Journal of Intelligent & Fuzzy Systems and Applied Nanoscience.

In The Last Decade

Munmun Dey

10 papers receiving 701 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Munmun Dey India	6	432	321	186	71	63	10	720
Yuxuan Su China	12	208 0.5×	207 0.6×	141 0.8×	55 0.8×	61 1.0×	22	524
Qingwei Chen China	14	555 1.3×	554 1.7×	183 1.0×	104 1.5×	198 3.1×	30	1.1k
Xiali Zhang China	17	247 0.6×	159 0.5×	310 1.7×	128 1.8×	154 2.4×	28	847
Hongliang Tang China	15	747 1.7×	669 2.1×	255 1.4×	29 0.4×	192 3.0×	31	1.2k
Chencheng Hu China	15	309 0.7×	238 0.7×	380 2.0×	46 0.6×	36 0.6×	38	696
Suyuan Zhang China	13	323 0.7×	426 1.3×	301 1.6×	51 0.7×	26 0.4×	29	751
Yanyuan Wen China	8	586 1.4×	407 1.3×	186 1.0×	29 0.4×	134 2.1×	9	1.0k
Huimin Liu China	11	454 1.1×	386 1.2×	108 0.6×	25 0.4×	71 1.1×	33	755
Jimin Fan China	14	415 1.0×	440 1.4×	153 0.8×	42 0.6×	35 0.6×	38	695

Countries citing papers authored by Munmun Dey

Since Specialization

Citations

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

Fields of papers citing papers by Munmun Dey

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Munmun Dey

This figure shows the co-authorship network connecting the top 25 collaborators of Munmun Dey. A scholar is included among the top collaborators of Munmun Dey 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 Munmun Dey. Munmun Dey is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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10 of 10 papers shown

1.

Ghosh, Arijit, et al.. (2021). Selection of Best E-Rickshaw-A Green Energy Game Changer: An Application of AHP and TOPSIS Method. Journal of Intelligent & Fuzzy Systems. 40(6). 11217–11230. 10 indexed citations

2.

Ghosh, Arijit & Munmun Dey. (2018). Performance Measure of Indian General Insurance Companies Using DEA and Super Efficiency Model. 24(1). 57–68. 2 indexed citations

3.

Pal, A., et al.. (2018). Influence of a Biobased Reagent on Properties of Industrial Resin for Printing Ink Application vis-à-vis Comparison with Standard Commercial Resin. 9(2). 59–73. 4 indexed citations

4.

Dey, Munmun, et al.. (2017). A study on the factors affecting ink-substrate interactions in maplitho papers. Technical programs and proceedings. 33(1). 47–53. 1 indexed citations

5.

Ghosh, Arijit, et al.. (2014). Technical Efficiency Measurement of Indian Banking companies: An Investigation Using DEA and Super Efficiency Model. 2(3). 1 indexed citations

6.

Choudhury, Biswajit, Munmun Dey, & Amarjyoti Choudhury. (2013). Defect generation, d-d transition, and band gap reduction in Cu-doped TiO2 nanoparticles. International nano letters.. 3(1). 400 indexed citations

7.

Choudhury, Biswajit, Munmun Dey, & Amarjyoti Choudhury. (2013). Shallow and deep trap emission and luminescence quenching of TiO2 nanoparticles on Cu doping. Applied Nanoscience. 4(4). 499–506. 173 indexed citations

8.

Dey, Munmun, et al.. (2012). Analysis of Factors Affecting Investors’ Perception of Mutual Fund Investment. 6 indexed citations

9.

Roy, A., et al.. (2011). Development of Karanja Oil Based Offset Printing Ink in Comparison with Linseed Oil. Journal of Oleo Science. 60(1). 19–24. 10 indexed citations

10.

Ho, Ye‐Shih, Munmun Dey, & James D. Crapo. (1996). Antioxidant enzyme expression in rat lungs during hyperoxia. American Journal of Physiology-Lung Cellular and Molecular Physiology. 270(5). L810–L818. 113 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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