Manisha Singh
- Health, Toxicology and Mutagenesis top 0.5%
- Air Quality and Health Impacts 13
- Environmental Engineering top 2%
- Air Quality Monitoring and Forecasting 6
- Atmospheric Science top 5%
- Atmospheric chemistry and aerosols 5
- Automotive Engineering top 2%
- Vehicle emissions and performance 4
- Pollution top 5%
- Energy and Environment Impacts 4
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- Energy Efficient Wireless Sensor Networks 4
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- Aerosol Filtration and Electrostatic Precipitation 3
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- Solar Radiation and Photovoltaics 2
- Co-authors
- Constantinos SioutasRalph J. DelfinoAntonio H. MiguelArantza Eiguren-FernándezYoshito KumagaiDebra A. SchmitzJohn R. FroinesArthur K. Cho
- Partner nations
- United StatesIndiaUnited Kingdom
In The Last Decade
Manisha Singh
39 papers receiving 1.7k citations
Hit Papers
Peers
Comparison fields: 5 of 129
- Health, Toxicology and Mutagenesis 1.4k
- Environmental Engineering 549
- Atmospheric Science 634
- Automotive Engineering 409
- Pollution 265
Countries citing papers authored by Manisha Singh
This map shows the geographic impact of Manisha Singh'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 Manisha Singh with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Manisha Singh more than expected).
Fields of papers citing papers by Manisha Singh
This network shows the impact of papers produced by Manisha Singh. 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 Manisha Singh. The network helps show where Manisha Singh may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Manisha Singh, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2025 | 4 | |
| 2 | 2024 | 7 | |
| 3 | 2024 | 10 | |
| 4 | 2022 | 4 | |
| 5 | 2021 | 1 | |
| 6 | Distribution, status and conservation of Sangai deer (Rucervus eldii eldii) in Manipur, India | 2018 | 7 |
| 7 | 2016 | 2 | |
| 8 | A Study Of Socio–economic Status Of Women Entrepreneurs In Small Scale Industries | 2014 | 1 |
| 9 | 2012 | 1 | |
| 10 | 2010 | 11 | |
| 11 | 2008 | 2 | |
| 12 | 2006 | 60 | |
| 13 | 2005 | 35 | |
| 14 | 2005 | 480 | |
| 15 | Redox activity of airborne particulate matter at different sites in the Los Angeles Basinbreakdown → | 2005 | 592 |
| 16 | 2004 | 10 | |
| 17 | 2003 | 18 | |
| 18 | 2003 | 74 | |
| 19 | 2002 | 175 | |
| 20 | 1998 | 6 |
About Manisha Singh
Manisha Singh is a scholar working on Computational Mathematics, Health, Toxicology and Mutagenesis and Environmental Engineering, having authored 39 papers that have together received 1.8k indexed citations. Recurring topics across this work include Air Quality and Health Impacts (13 papers), Air Quality Monitoring and Forecasting (6 papers), Atmospheric chemistry and aerosols (5 papers), Energy and Environment Impacts (4 papers), Vehicle emissions and performance (4 papers), Energy Efficient Wireless Sensor Networks (4 papers), Aerosol Filtration and Electrostatic Precipitation (3 papers) and Solar Radiation and Photovoltaics (2 papers). The work is most often cited by research in Health, Toxicology and Mutagenesis (1.4k citations), Environmental Engineering (549 citations) and Atmospheric Science (634 citations). Manisha Singh has collaborated with scholars based in United States, India and United Kingdom. Frequent co-authors include Constantinos Sioutas, Ralph J. Delfino, Antonio H. Miguel, Arantza Eiguren-Fernández, Yoshito Kumagai, Debra A. Schmitz, John R. Froines, Arthur K. Cho, Chandan Misra and Peter A. Jaques.
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.