Daniel M. Westervelt

3.2k total citations · 1 hit paper
61 papers, 1.5k citations indexed

About

Daniel M. Westervelt is a scholar working on Atmospheric Science, Global and Planetary Change and Health, Toxicology and Mutagenesis. According to data from OpenAlex, Daniel M. Westervelt has authored 61 papers receiving a total of 1.5k indexed citations (citations by other indexed papers that have themselves been cited), including 45 papers in Atmospheric Science, 38 papers in Global and Planetary Change and 34 papers in Health, Toxicology and Mutagenesis. Recurrent topics in Daniel M. Westervelt's work include Atmospheric chemistry and aerosols (44 papers), Air Quality and Health Impacts (33 papers) and Atmospheric aerosols and clouds (20 papers). Daniel M. Westervelt is often cited by papers focused on Atmospheric chemistry and aerosols (44 papers), Air Quality and Health Impacts (33 papers) and Atmospheric aerosols and clouds (20 papers). Daniel M. Westervelt collaborates with scholars based in United States, Finland and United Kingdom. Daniel M. Westervelt's co-authors include Larry W. Horowitz, Arlene M. Fiore, Carl Malings, V. Faye McNeill, Spyros Ν. Pandis, R. Subramanian, Denise L. Mauzerall, Vaishali Naïk, Matthias Beekmann and Albert A. Presto and has published in prestigious journals such as SHILAP Revista de lepidopterología, Environmental Science & Technology and The Science of The Total Environment.

In The Last Decade

Daniel M. Westervelt

53 papers receiving 1.5k citations

Hit Papers

From low-cost sensors to high-quality data: A summary of ... 2021 2026 2022 2024 2021 50 100 150 200

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Daniel M. Westervelt United States 22 956 854 773 522 125 61 1.5k
Qi Fan China 25 1.0k 1.0× 815 1.0× 545 0.7× 471 0.9× 112 0.9× 58 1.4k
Hikari Shimadera Japan 21 817 0.9× 888 1.0× 410 0.5× 554 1.1× 189 1.5× 77 1.3k
Aijun Xiu China 20 1.4k 1.4× 720 0.8× 1.1k 1.4× 406 0.8× 181 1.4× 47 1.8k
Erin E. McDuffie United States 20 854 0.9× 891 1.0× 509 0.7× 409 0.8× 154 1.2× 36 1.5k
Alexander de Meij Italy 22 1.1k 1.1× 523 0.6× 812 1.1× 259 0.5× 144 1.2× 45 1.4k
Vikas Singh India 25 689 0.7× 1.2k 1.4× 910 1.2× 638 1.2× 239 1.9× 50 1.7k
Tazuko Morikawa Japan 16 1.2k 1.3× 1.1k 1.3× 527 0.7× 408 0.8× 369 3.0× 34 1.6k
Hongli Liu China 16 902 0.9× 875 1.0× 601 0.8× 556 1.1× 108 0.9× 56 1.5k
Fangkun Wu China 17 1.3k 1.4× 1.3k 1.5× 364 0.5× 702 1.3× 274 2.2× 45 1.7k
Tao Song China 24 1.8k 1.8× 1.4k 1.6× 1.1k 1.4× 718 1.4× 201 1.6× 56 2.2k

Countries citing papers authored by Daniel M. Westervelt

Since Specialization
Citations

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

Fields of papers citing papers by Daniel M. Westervelt

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Daniel M. Westervelt. 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 Daniel M. Westervelt. The network helps show where Daniel M. Westervelt may publish in the future.

Co-authorship network of co-authors of Daniel M. Westervelt

This figure shows the co-authorship network connecting the top 25 collaborators of Daniel M. Westervelt. A scholar is included among the top collaborators of Daniel M. Westervelt 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 Daniel M. Westervelt. Daniel M. Westervelt 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.
Lee‐Taylor, J., Kelley C. Barsanti, John J. Orlando, et al.. (2025). A graph theory-based algorithm for the reduction of atmospheric chemical mechanisms. PNAS Nexus. 4(9). pgaf273–pgaf273.
2.
Sen, Siddhartha, et al.. (2025). Evolutionary Optimization of the Reduced Gas‐Phase Isoprene Oxidation Mechanism. Journal of Advances in Modeling Earth Systems. 17(5). 1 indexed citations
3.
deSouza, Priyanka, et al.. (2025). A nationwide evaluation of crowd-sourced ambient temperature data. Frontiers in Environmental Science. 13. 2 indexed citations
4.
Annor, Thompson, et al.. (2025). Spatiotemporal Assessment of PM2.5 in Senior High Schools in Kumasi, Ghana using Low-Cost Sensors. Aerosol and Air Quality Research. 25(12).
6.
Gatari, Michael, et al.. (2024). First Results From a Calibrated Network of Low‐Cost PM2.5 Monitors in Mombasa, Kenya Show Exceedance of Healthy Guidelines. GeoHealth. 8(9). e2024GH001049–e2024GH001049. 4 indexed citations
7.
Anand, Abhishek, N’Datchoh Evelyne Touré, Allison Hughes, et al.. (2024). Low-Cost Hourly Ambient Black Carbon Measurements at Multiple Cities in Africa. Environmental Science & Technology. 58(28). 12575–12584. 4 indexed citations
8.
Persad, Geeta, B. H. Samset, Laura J. Wilcox, et al.. (2023). Rapidly evolving aerosol emissions are a dangerous omission from near-term climate risk assessments. SHILAP Revista de lepidopterología. 2(3). 32001–32001. 22 indexed citations
9.
Zheng, Zhonghua, Arlene M. Fiore, Daniel M. Westervelt, et al.. (2023). Automated Machine Learning to Evaluate the Information Content of Tropospheric Trace Gas Columns for Fine Particle Estimates Over India: A Modeling Testbed. Journal of Advances in Modeling Earth Systems. 15(3). 14 indexed citations
10.
Mickley, Loretta J., Sebastian D. Eastham, Jonathan J. Buonocore, et al.. (2023). Health impacts of smoke exposure in South America: increased risk for populations in the Amazonian Indigenous territories. SHILAP Revista de lepidopterología. 1(2). 21007–21007. 8 indexed citations
11.
Wilcox, Laura J., Robert J. Allen, B. H. Samset, et al.. (2023). The Regional Aerosol Model Intercomparison Project (RAMIP). Geoscientific model development. 16(15). 4451–4479. 13 indexed citations
12.
Karambelas, Alexandra, Arlene M. Fiore, Daniel M. Westervelt, et al.. (2022). Investigating Drivers of Particulate Matter Pollution Over India and the Implications for Radiative Forcing With GEOS‐Chem‐TOMAS15. Journal of Geophysical Research Atmospheres. 127(24). 4 indexed citations
13.
Kompalli, Sobhan Kumar, V. Anil Kumar, S. Suresh Babu, et al.. (2022). Observations of particle number size distributions and new particle formation in six Indian locations. Atmospheric chemistry and physics. 22(7). 4491–4508. 14 indexed citations
14.
Kompalli, Sobhan Kumar, S. Suresh Babu, G. Pandithurai, et al.. (2021). Observations of particle number size distributions and new particle formation in six Indian locations. 1 indexed citations
15.
Kanawade, Vijay P., Vijay Kumar Soni, Eija Asmi, et al.. (2021). New Particle Formation and Growth to Climate‐Relevant Aerosols at a Background Remote Site in the Western Himalaya. Journal of Geophysical Research Atmospheres. 126(7). 20 indexed citations
16.
Baublitz, Colleen B., Arlene M. Fiore, Olivia E. Clifton, et al.. (2020). Sensitivity of Tropospheric Ozone Over the Southeast USA to Dry Deposition. Geophysical Research Letters. 47(7). 8 indexed citations
17.
Westervelt, Daniel M., et al.. (2020). Relative Importance of Greenhouse Gases, Sulfate, Organic Carbon, and Black Carbon Aerosol for South Asian Monsoon Rainfall Changes. Geophysical Research Letters. 47(13). 21 indexed citations
18.
Pierce, Jeffrey R., Daniel M. Westervelt, Samuel A. Atwood, Elizabeth A. Barnes, & W. R. Leaitch. (2014). New-particle formation, growth and climate-relevant particle production in Egbert, Canada: analysis from 1 year of size-distribution observations. Atmospheric chemistry and physics. 14(16). 8647–8663. 45 indexed citations
19.
D'Andrea, S. D., S. A. K. Häkkinen, Daniel M. Westervelt, et al.. (2013). Understanding global secondary organic aerosol amount and size-resolved condensational behavior. Atmospheric chemistry and physics. 13(22). 11519–11534. 57 indexed citations
20.
D'Andrea, S. D., S. A. K. Häkkinen, Daniel M. Westervelt, et al.. (2013). Understanding and constraining global secondary organic aerosol amount and size-resolved condensational behavior. 4 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.

Explore authors with similar magnitude of impact

Rankless by CCL
2026