Maithili Sharan

2.7k citations
115 papers · 2.0k indexed · h-index 24

Impact in

Papers in

Maithili Sharan

113 papers receiving 1.9k citations

Peers

Maithili Sharan
Comparison fields: 5 of 135
  • Environmental Engineering 778
  • Atmospheric Science 734
  • Global and Planetary Change 528
  • Health, Toxicology and Mutagenesis 297
  • Numerical Analysis 75
Replace P. C. Chatwin with:
P. C. Chatwin United Kingdom
Pierre Comte Switzerland
Dennis Coombe Canada
Bruno Sportisse France
J. H. Knight Australia
Christopher Zoppou Australia
Janusz A. Pudykiewicz Canada
Feng Xiao Japan
Markus Holzner Switzerland
G. E. Willis United States
Maithili Sharan relative to P. C. Chatwin United Kingdom P. C. Chatwin's profile →
Citations per field
00.5×3.3×
P. C. Chatwin · 1×
Citations per year

Countries citing papers authored by Maithili Sharan

Since Specialization
Citations

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

Fields of papers citing papers by Maithili Sharan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Maithili Sharan, 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 Maithili Sharan Line = papers co-authored together Maithili Sharan links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 20240
2 20233
3 20227
4 201918
5 20172
6 20071
7 20051
8 2001207
9 199812
10 199810
11 19921
12 19927
13 19926
14 19907
15 19891
16 198923
17 198981
18 19884
19 198839
20 198710

About Maithili Sharan

Maithili Sharan is a scholar working on Environmental Engineering, Atmospheric Science, Global and Planetary Change, Cell Biology and Health, Toxicology and Mutagenesis, having authored 115 papers that have together received 2.0k indexed citations. Recurring topics across this work include Wind and Air Flow Studies (49 papers), Meteorological Phenomena and Simulations (36 papers), Hemoglobin structure and function (26 papers), Climate variability and models (19 papers), Air Quality and Health Impacts (16 papers), Atmospheric chemistry and aerosols (15 papers), Atmospheric and Environmental Gas Dynamics (12 papers) and Atmospheric aerosols and clouds (10 papers). The work is most often cited by research in Environmental Engineering (778 citations), Atmospheric Science (734 citations), Global and Planetary Change (528 citations), Health, Toxicology and Mutagenesis (297 citations) and Numerical Analysis (75 citations). Maithili Sharan has collaborated with scholars based in India, United States and France. Frequent co-authors include Aleksander S. Popel, Anil Kumar Yadav, Pramod Kumar, Sarvesh Kumar Singh, Jean‐Pierre Issartel, Murari Singh, Sundararaman Gopalakrishnan, M.P. Singh, Suman Gupta and E.J. Kansa. Their work appears in journals such as Atmospheric Environment, Pure and Applied Geophysics, Boundary-Layer Meteorology, Atmospheric Research and Journal of the Atmospheric Sciences.

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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