Daniel J. Bryant

51 total papers · 544 total citations
10 papers, 125 citations indexed

About

Daniel J. Bryant is a scholar working on Atmospheric Science, Health, Toxicology and Mutagenesis and Environmental Engineering. According to data from OpenAlex, Daniel J. Bryant has authored 10 papers receiving a total of 125 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Atmospheric Science, 7 papers in Health, Toxicology and Mutagenesis and 3 papers in Environmental Engineering. Recurrent topics in Daniel J. Bryant's work include Atmospheric chemistry and aerosols (8 papers), Air Quality and Health Impacts (5 papers) and Air Quality Monitoring and Forecasting (3 papers). Daniel J. Bryant is often cited by papers focused on Atmospheric chemistry and aerosols (8 papers), Air Quality and Health Impacts (5 papers) and Air Quality Monitoring and Forecasting (3 papers). Daniel J. Bryant collaborates with scholars based in United Kingdom, China and France. Daniel J. Bryant's co-authors include Jacqueline F. Hamilton, Andrew R. Rickard, Kelly L. Pereira, John L. Wilkinson, Mike J. Newland, Alastair C. Lewis, Martyn Ward, William G Dixon, J. Brett Sallach and Michael Priestley and has published in prestigious journals such as Environmental Science & Technology, Analytical Chemistry and Atmospheric chemistry and physics.

In The Last Decade

Daniel J. Bryant

9 papers receiving 122 citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Daniel J. Bryant 86 80 30 15 13 10 125
Fenglin Han 53 0.6× 89 1.1× 27 0.9× 8 0.5× 24 1.8× 14 163
Sushil Kumar Bharti 74 0.9× 109 1.4× 42 1.4× 10 0.7× 22 1.7× 12 278
Aaron Lamplugh 63 0.7× 105 1.3× 33 1.1× 12 0.8× 29 2.2× 11 194
Kelly L. Pereira 176 2.0× 144 1.8× 51 1.7× 22 1.5× 42 3.2× 12 206
Gareth J. Stewart 82 1.0× 90 1.1× 35 1.2× 30 2.0× 13 1.0× 7 140
Jo Machesky 109 1.3× 107 1.3× 54 1.8× 46 3.1× 17 1.3× 11 233
Uwe Käfer 159 1.8× 120 1.5× 38 1.3× 26 1.7× 48 3.7× 13 290
Runqi Zhang 98 1.1× 90 1.1× 59 2.0× 49 3.3× 15 1.2× 24 221
Subin Yoon 153 1.8× 181 2.3× 51 1.7× 26 1.7× 45 3.5× 22 262
Nicola Zanca 86 1.0× 70 0.9× 44 1.5× 6 0.4× 36 2.8× 6 147

Countries citing papers authored by Daniel J. Bryant

Since Specialization
Citations

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

Fields of papers citing papers by Daniel J. Bryant

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Daniel J. Bryant

This figure shows the co-authorship network connecting the top 25 collaborators of Daniel J. Bryant. A scholar is included among the top collaborators of Daniel J. Bryant 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 J. Bryant. Daniel J. Bryant is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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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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