D M Butterfield

831 total citations
38 papers, 562 citations indexed

About

D M Butterfield is a scholar working on Health, Toxicology and Mutagenesis, Atmospheric Science and Environmental Engineering. According to data from OpenAlex, D M Butterfield has authored 38 papers receiving a total of 562 indexed citations (citations by other indexed papers that have themselves been cited), including 24 papers in Health, Toxicology and Mutagenesis, 14 papers in Atmospheric Science and 12 papers in Environmental Engineering. Recurrent topics in D M Butterfield's work include Air Quality and Health Impacts (20 papers), Atmospheric chemistry and aerosols (14 papers) and Air Quality Monitoring and Forecasting (10 papers). D M Butterfield is often cited by papers focused on Air Quality and Health Impacts (20 papers), Atmospheric chemistry and aerosols (14 papers) and Air Quality Monitoring and Forecasting (10 papers). D M Butterfield collaborates with scholars based in United Kingdom, Belgium and Netherlands. D M Butterfield's co-authors include Gary W. Fuller, M G Gee, Karl Espen Yttri, Timothy D. Baker, Anja H. Tremper, Paul Quincey, Richard J. C. Brown, Andrew S. Brown, Sharon L. Goddard and David C. Green and has published in prestigious journals such as Environmental Pollution, Atmospheric Environment and Journal of Chromatography A.

In The Last Decade

D M Butterfield

34 papers receiving 546 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
D M Butterfield United Kingdom 12 372 268 125 102 93 38 562
Yuhao Mao China 13 376 1.0× 483 1.8× 109 0.9× 293 2.9× 74 0.8× 31 660
Guanglin Jia China 9 259 0.7× 259 1.0× 133 1.1× 82 0.8× 114 1.2× 23 446
Antti Rostedt Finland 15 504 1.4× 340 1.3× 223 1.8× 97 1.0× 255 2.7× 28 779
Jaakko Yli-Ojanperä Finland 14 499 1.3× 364 1.4× 242 1.9× 97 1.0× 261 2.8× 22 737
Yujing Mu China 11 379 1.0× 464 1.7× 215 1.7× 75 0.7× 109 1.2× 22 621
Danian Zhang China 10 354 1.0× 139 0.5× 108 0.9× 30 0.3× 63 0.7× 24 502
William Preston United States 16 427 1.1× 254 0.9× 50 0.4× 110 1.1× 114 1.2× 26 677
Qing Huang China 11 312 0.8× 228 0.9× 163 1.3× 83 0.8× 99 1.1× 20 450
Xuekun Fang China 12 161 0.4× 204 0.8× 66 0.5× 108 1.1× 21 0.2× 21 385
Hiroshi Tago Japan 5 264 0.7× 151 0.6× 67 0.5× 36 0.4× 143 1.5× 16 398

Countries citing papers authored by D M Butterfield

Since Specialization
Citations

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

Fields of papers citing papers by D M Butterfield

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of D M Butterfield

This figure shows the co-authorship network connecting the top 25 collaborators of D M Butterfield. A scholar is included among the top collaborators of D M Butterfield 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 D M Butterfield. D M Butterfield 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
2.
Butterfield, D M, Richard J. C. Brown, & Andrew S. Brown. (2024). Seasonality of Heavy Metal Concentrations in Ambient Particulate Matter in the UK. Atmosphere. 15(6). 636–636. 3 indexed citations
4.
Font, Anna, et al.. (2022). Long-term trends in particulate matter from wood burning in the United Kingdom: Dependence on weather and social factors. Environmental Pollution. 314. 120105–120105. 11 indexed citations
5.
Brown, Richard J. C., et al.. (2022). Falling nickel concentrations in ambient air in South Wales – 50 years of progress. Environmental Science Processes & Impacts. 24(10). 1821–1829. 1 indexed citations
6.
Butterfield, D M, et al.. (2021). Equivalence of UK nitrogen dioxide diffusion tube data to the EU reference method. Atmospheric Environment. 262. 118614–118614. 1 indexed citations
7.
Butterfield, D M, et al.. (2020). Safe Sampling Volume determinations of 12 volatile organic compounds on Carboxen 1003, Carbopack-X & Tenax-TA. Journal of Chromatography A. 1626. 461369–461369. 3 indexed citations
8.
Goddard, Sharon L., et al.. (2019). Concentration trends of metals in ambient air in the UK: a review. Environmental Monitoring and Assessment. 191(11). 683–683. 17 indexed citations
9.
Butterfield, D M, et al.. (2017). 2016 Annual Report for the UK Black Carbon network.. 7 indexed citations
10.
Broquet, Grégoire, Frédéric Chevallier, D M Butterfield, et al.. (2016). Analysis of the potential of near-ground measurements of CO 2 and CH 4 in London, UK, for the monitoring of city-scale emissions using an atmospheric transport model. Atmospheric chemistry and physics. 16(11). 6735–6756. 28 indexed citations
11.
Brown, Richard J. C., D M Butterfield, P M Harris, et al.. (2016). Standardisation of a European measurement method for the determination of anions and cations in PM2.5: results of field trial campaign and determination of measurement uncertainty. Environmental Science Processes & Impacts. 18(12). 1561–1571. 2 indexed citations
12.
Fuller, Gary W., Anja H. Tremper, Timothy D. Baker, Karl Espen Yttri, & D M Butterfield. (2014). Contribution of wood burning to PM10 in London. Atmospheric Environment. 87. 87–94. 160 indexed citations
13.
Brown, Andrew S., Richard J. C. Brown, Peter J. Coleman, et al.. (2013). Twenty years of measurement of polycyclic aromatic hydrocarbons (PAHs) in UK ambient air by nationwide air quality networks. Environmental Science Processes & Impacts. 15(6). 1199–1199. 33 indexed citations
14.
Coleman, Marc, et al.. (2013). State of UK emissions monitoring of stacks and flues: an evaluation of proficiency testing data for SO2, NO and particulates. Accreditation and Quality Assurance. 18(6). 517–524. 6 indexed citations
15.
Quincey, Paul & D M Butterfield. (2009). Ambient air particulate matter PM10and PM2.5: developments in European measurement methods and legislation. Biomarkers. 14(sup1). 34–38. 5 indexed citations
16.
Quincey, Paul, D M Butterfield, David C. Green, Mhairi Coyle, & J.N. Cape. (2009). An evaluation of measurement methods for organic, elemental and black carbon in ambient air monitoring sites. Atmospheric Environment. 43(32). 5085–5091. 33 indexed citations
17.
Brown, Richard J. C., D M Butterfield, Melanie Williams, et al.. (2007). Twenty-five years of nationwide ambient metals measurement in the United Kingdom: concentration levels and trends. Environmental Monitoring and Assessment. 142(1-3). 127–140. 46 indexed citations
18.
Butterfield, D M & Paul Quincey. (2007). Measurement science issues relating to PM10 and PM2.5 airborne particles.. 4 indexed citations
19.
Butterfield, D M, et al.. (2007). Comparison of methods for organic and elemental carbon PM10 concentrations at Marylebone Road for the period 07/09/06 to 31/12/06.. 1 indexed citations
20.
Brown, Andrew S., et al.. (2005). Ambient air particulate matter: quantifying errors in gravimetric measurements.. 1 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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