David Mateos

2.0k citations
83 papers · 1.4k · h-index 23

Impact in

Papers in

David Mateos

79 papers receiving 1.4k citations

Peers

David Mateos
Comparison fields: 5 of 119
  • Atmospheric Science 782
  • Global and Planetary Change 814
  • Health, Toxicology and Mutagenesis 107
  • Environmental Engineering 110
  • Artificial Intelligence 229
Replace Hideaki Takenaka with:
Hideaki Takenaka Japan
Ying Bao China
Jérôme Barré France
Richard Kift United Kingdom
Joowan Kim South Korea
Aiming Wu China
Sudipta Sarkar India
Annika Smedman Sweden
A. K. Singh India
Jianjun Liu China
David Mateos relative to Hideaki Takenaka Japan Hideaki Takenaka's profile →
Citations per field
00.5×6.7×
Hideaki Takenaka · 1×
Citations per year

Countries citing papers authored by David Mateos

Since Specialization
Citations

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

Fields of papers citing papers by David Mateos

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside David Mateos, 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 David Mateos Line = papers co-authored together David Mateos links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 83 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2020152
2 201461
3 200955
4 201053
5 201946
6 201045
7 201443
8 201839
9 201338
10 201137
11 201436
12 201135
13 201634
14 201833
15 202329
16 201129
17 201026
18 201925
19 201225
20 202024

About David Mateos

David Mateos is a scholar working on Atmospheric Science, Global and Planetary Change, Epidemiology, Artificial Intelligence and Physiology, having authored 83 papers that have together received 1.4k indexed citations. Recurring topics across this work include Atmospheric chemistry and aerosols (54 papers), Atmospheric aerosols and clouds (53 papers), Atmospheric Ozone and Climate (41 papers), Atmospheric and Environmental Gas Dynamics (10 papers), Solar Radiation and Photovoltaics (10 papers), Adipokines, Inflammation, and Metabolic Diseases (6 papers), Liver Disease Diagnosis and Treatment (5 papers) and Air Quality and Health Impacts (5 papers). The work is most often cited by research in Atmospheric Science (782 citations), Global and Planetary Change (814 citations), Health, Toxicology and Mutagenesis (107 citations), Environmental Engineering (110 citations) and Artificial Intelligence (229 citations). David Mateos has collaborated with scholars based in Spain, Germany and Italy. Frequent co-authors include Julia Bilbao, Argimiro de Miguel, Roberto Román, Josep A. Tur, M. Antón, Victoria E. Cachorro, Cristina Bouzas, Antoni Sureda, Carlos Toledano and Margalida Monserrat-Mesquida. Their work appears in journals such as Nutrients, Antioxidants, Atmospheric Research, Atmospheric Environment and Atmospheric measurement techniques.

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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