Mita Das

24 papers receiving 535 citations

Peers

Mita Das
Comparison fields: 5 of 55
  • Atmospheric Science 271
  • Health, Toxicology and Mutagenesis 169
  • Global and Planetary Change 164
  • Environmental Engineering 86
  • Mechanical Engineering 218
Replace Liya Guo with:
Liya Guo China
Xiaojing Chen China
David A. Kirchgessner United States
Brian D. Drollette United States
Jack J. Lin United States
Adam P. Pacsi United States
Samar G. Moussa Canada
M. Bizjak Slovenia
Xuekun Fang China
Long Peng China
Mita Das relative to Liya Guo China Liya Guo's profile →
Citations per field
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Citations per year

Countries citing papers authored by Mita Das

Since Specialization
Citations

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

Fields of papers citing papers by Mita Das

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 24 scholars most cited alongside Mita Das, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Mita Das Line = papers co-authored together Mita Das links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 24 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2010100
2 201165
3 200054
4 201047
5 199646
6 199838
7 200026
8 199425
9 199425
10 199521
11 201018
12 200117
13 201216
14 199415
15 199913
16 20039
17 19948
18 20218
19 19957
20 20215

About Mita Das

Mita Das is a scholar working on Atmospheric Science, Health, Toxicology and Mutagenesis, Environmental Engineering, Global and Planetary Change and Mechanical Engineering, having authored 24 papers that have together received 575 indexed citations. Recurring topics across this work include Atmospheric chemistry and aerosols (17 papers), Air Quality and Health Impacts (10 papers), Air Quality Monitoring and Forecasting (9 papers), Atmospheric Ozone and Climate (6 papers), Atmospheric and Environmental Gas Dynamics (4 papers), Atmospheric aerosols and clouds (4 papers), Membrane Separation and Gas Transport (3 papers) and Membrane Separation Technologies (2 papers). The work is most often cited by research in Atmospheric Science (271 citations), Health, Toxicology and Mutagenesis (169 citations), Global and Planetary Change (164 citations), Environmental Engineering (86 citations) and Mechanical Engineering (218 citations). Mita Das has collaborated with scholars based in United States, Germany and Canada. Frequent co-authors include William J. Koros, Viney P. Aneja, Liaquat Husain, Vincent A. Dutkiewicz, Alana Leahy‐Dios, R. D. Kaminsky, Deug-Soo Kim, Benjamin E. Hartsell, Zheng Li and J. H. Lawrimore. Their work appears in journals such as Journal of Geophysical Research Atmospheres, Atmospheric Environment, Journal of Environmental Engineering, Carbon and Industrial & Engineering Chemistry Research.

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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