Daniel Wilson

932 total citations
26 papers, 572 citations indexed

About

Daniel Wilson is a scholar working on Pollution, Health, Toxicology and Mutagenesis and Automotive Engineering. According to data from OpenAlex, Daniel Wilson has authored 26 papers receiving a total of 572 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Pollution, 6 papers in Health, Toxicology and Mutagenesis and 5 papers in Automotive Engineering. Recurrent topics in Daniel Wilson's work include Energy and Environment Impacts (10 papers), Air Quality and Health Impacts (6 papers) and COVID-19 impact on air quality (3 papers). Daniel Wilson is often cited by papers focused on Energy and Environment Impacts (10 papers), Air Quality and Health Impacts (6 papers) and COVID-19 impact on air quality (3 papers). Daniel Wilson collaborates with scholars based in United States, United Kingdom and Ghana. Daniel Wilson's co-authors include Sarath Guttikunda, Rahul Goel, Shahzad Gani, Geetam Tiwari, Ashok Gadgil, Evan Thomas, Robin Tibor Schirrmeister, Andreas Schulze‐Bonhage, Joschka Boedecker and Tonio Ball and has published in prestigious journals such as SHILAP Revista de lepidopterología, Environmental Science & Technology and PLoS ONE.

In The Last Decade

Daniel Wilson

24 papers receiving 543 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Daniel Wilson United States 13 139 126 117 102 87 26 572
Zhongyang Chen China 12 92 0.7× 43 0.3× 12 0.1× 173 1.7× 20 0.2× 69 695
Jincheng Li China 16 35 0.3× 65 0.5× 92 0.8× 4 0.0× 69 0.8× 71 764
G. Cannistraro Italy 15 77 0.6× 20 0.2× 28 0.2× 57 0.6× 164 1.9× 37 575
Rumei Li China 11 332 2.4× 59 0.5× 57 0.5× 77 0.8× 174 2.0× 33 660
Jiao Wang China 13 125 0.9× 90 0.7× 23 0.2× 64 0.6× 249 2.9× 33 693
Ashraf Ramadan Kuwait 14 122 0.9× 75 0.6× 2 0.0× 46 0.5× 109 1.3× 42 590
Kai Liang China 10 102 0.7× 165 1.3× 5 0.0× 12 0.1× 42 0.5× 43 513
Ahmet Özgür Doğru Türkiye 9 31 0.2× 43 0.3× 23 0.2× 37 0.4× 35 0.4× 37 308
Jing Cai China 14 39 0.3× 129 1.0× 101 0.9× 3 0.0× 16 0.2× 43 553

Countries citing papers authored by Daniel Wilson

Since Specialization
Citations

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

Fields of papers citing papers by Daniel Wilson

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Daniel Wilson

This figure shows the co-authorship network connecting the top 25 collaborators of Daniel Wilson. A scholar is included among the top collaborators of Daniel Wilson 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 Wilson. Daniel Wilson 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.
Williams, H, Judith Mangeni, Emily Nix, et al.. (2025). Multinational modelling of PM2.5 and CO exposures from household air pollution in peri-urban Cameroon, Ghana and Kenya. Scientific Reports. 15(1). 6856–6856. 2 indexed citations
2.
Nix, Emily, Theresa Tawiah, Daniel Wilson, et al.. (2025). Socioeconomic status and partaking in air pollution monitoring are associated with cookstove usage across three peri-urban communities in sub-Saharan Africa. Scientific Reports. 15(1). 25850–25850. 1 indexed citations
3.
Wilson, Daniel, et al.. (2024). Perceptions of virtual versus in‐person recovery meetings: A cross‐sectional survey of Oxford House residents. Journal of Community & Applied Social Psychology. 34(4).
4.
Mangeni, Judith, Ryan Chartier, Daniel Wilson, et al.. (2024). Using machine learning to predict real-time PM2.5 concentrations from household air pollution in peri-urban sub-Saharan Africa. ISEE Conference Abstracts. 2024(1). 1 indexed citations
5.
Thomas, Evan, et al.. (2021). A contribution to drought resilience in East Africa through groundwater pump monitoring informed by in-situ instrumentation, remote sensing and ensemble machine learning. The Science of The Total Environment. 780. 146486–146486. 23 indexed citations
6.
Wilson, Daniel, et al.. (2020). User-centered design of an air quality feedback technology to promote adoption of clean cookstoves. Journal of Exposure Science & Environmental Epidemiology. 30(6). 925–936. 14 indexed citations
7.
Schirrmeister, Robin Tibor, Patryk Chrabąszcz, Daniel Wilson, et al.. (2020). Machine-learning-based diagnostics of EEG pathology. NeuroImage. 220. 117021–117021. 128 indexed citations
8.
Wilson, Daniel, Kendra N. Williams, & Ajay Pillarisetti. (2020). An Integrated Sensor Data Logging, Survey, and Analytics Platform for Field Research and Its Application in HAPIN, a Multi-Center Household Energy Intervention Trial. Sustainability. 12(5). 1805–1805. 17 indexed citations
9.
Wilson, Daniel, Jeremy Coyle, & Evan Thomas. (2017). Ensemble machine learning and forecasting can achieve 99% uptime for rural handpumps. PLoS ONE. 12(11). e0188808–e0188808. 26 indexed citations
10.
Wilson, Daniel. (2016). Quantifying the Crisis of Cooking: Next-Generation Monitoring and Evaluation of a Global Health and Environmental Disaster. eScholarship (California Digital Library). 1 indexed citations
11.
Wilson, Daniel. (2016). Clean Cookstoves Need Better Performance Guidelines. Environmental Science & Technology. 50(18). 9805–9806. 3 indexed citations
12.
Wilson, Daniel, et al.. (2016). Avoided emissions of a fuel-efficient biomass cookstove dwarf embodied emissions. Econstor (Econstor). 1. 45–52. 23 indexed citations
13.
Rapp, Vi H., et al.. (2016). Reducing Ultrafine Particle Emissions Using Air Injection in Wood-Burning Cookstoves. Environmental Science & Technology. 50(15). 8368–8374. 39 indexed citations
14.
Wilson, Daniel, et al.. (2016). Measuring and Increasing Adoption Rates of Cookstoves in a Humanitarian Crisis. Environmental Science & Technology. 50(15). 8393–8399. 16 indexed citations
15.
Goel, Rahul, Shahzad Gani, Sarath Guttikunda, Daniel Wilson, & Geetam Tiwari. (2015). On-road PM2.5 pollution exposure in multiple transport microenvironments in Delhi. Atmospheric Environment. 123. 129–138. 109 indexed citations
16.
Kipf, Andreas, Waylon Brunette, Matthew Podolsky, et al.. (2015). A proposed integrated data collection, analysis and sharing platform for impact evaluation. PDXScholar (Portland State University). 1. 36–44. 12 indexed citations
17.
Ray, Charles D., et al.. (2013). Biomass boiler conversion potential in the eastern United States. Renewable Energy. 62. 439–453. 11 indexed citations
18.
19.
Brown, E. H., Daniel Wilson, R. L. Armstrong, & J. E. Harakal. (1982). Petrologic, structural, and age relations of serpentinite, amphibolite, and blueschist in the Shuksan Suite of the Iron Mountain–Gee Point area, North Cascades, Washington. Geological Society of America Bulletin. 93(11). 1087–1087. 54 indexed citations
20.
Altshuller, A. P., Stanley L. Kopczynski, William A. Lonneman, & Daniel Wilson. (1967). Photochemical Reactivities of Exhausts from 1966 Model Automobiles Equipped to Reduce Hydrocarbon Emissions. Journal of the Air Pollution Control Association. 17(11). 734–737. 8 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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