Daniel Say

608 citations
16 papers · 263 · h-index 10

Impact in

Papers in

Daniel Say

16 papers receiving 254 citations

Peers

Daniel Say
Comparison fields: 5 of 62
  • Atmospheric Science 167
  • Global and Planetary Change 146
  • Environmental Chemistry 20
  • Health, Toxicology and Mutagenesis 27
  • Environmental Engineering 19
Replace Kieran Stanley with:
Kieran Stanley United Kingdom
C. M. Harth United States
Luke M. Western United Kingdom
Carolina Siso United States
Maria Ullerstam Canada
R. Lindenmaier United States
Juan J. Nájera United Kingdom
Tim Shippert United States
Stephen Donnelly United States
P. Jonathan Gero United States
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Citations per field
00.5×1.5×1.9×
Kieran Stanley · 1×
Citations per year

Countries citing papers authored by Daniel Say

Since Specialization
Citations

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

Fields of papers citing papers by Daniel Say

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Daniel Say, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Daniel Say Line = papers co-authored together Daniel Say links everyone, so they are left out of the graph.

All Works

16 of 16 papers shown
#Work
1 202063
2 202149
3 201929
4 202219
5 201619
6 202117
7 201914
8 202211
9 202011
10 202110
11 20216
12 20196
13 20193
14 20193
15 20212
16 20231

About Daniel Say

Daniel Say is a scholar working on Atmospheric Science, Global and Planetary Change, Mechanics of Materials, Health, Toxicology and Mutagenesis and Environmental Engineering, having authored 16 papers that have together received 263 indexed citations. Recurring topics across this work include Atmospheric and Environmental Gas Dynamics (14 papers), Atmospheric chemistry and aerosols (12 papers), Atmospheric Ozone and Climate (9 papers), Air Quality Monitoring and Forecasting (2 papers), Air Quality and Health Impacts (2 papers), Hydrocarbon exploration and reservoir analysis (2 papers), COVID-19 impact on air quality (1 paper) and Ionosphere and magnetosphere dynamics (1 paper). The work is most often cited by research in Atmospheric Science (167 citations), Global and Planetary Change (146 citations), Environmental Chemistry (20 citations), Health, Toxicology and Mutagenesis (27 citations) and Environmental Engineering (19 citations). Daniel Say has collaborated with scholars based in United Kingdom, Australia and United States. Frequent co-authors include Simon O’Doherty, Matthew Rigby, Dickon Young, Alistair J. Manning, Paul B. Krummel, Anita L. Ganesan, Ray F. Weiss, Jens Mühle, Ronald G. Prinn and C. M. Harth. Their work appears in journals such as Atmospheric chemistry and physics, Environmental Science & Technology, Nature Communications, Environmental Science Atmospheres and Environmental Research Letters.

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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