Maria Val Martin

7.3k citations
57 papers · 3.1k indexed · 3 hit papers · h-index 28

Maria Val Martin

56 papers receiving 3.1k citations

Hit Papers

Chemistry-al...462014202620182022100200300400

Peers

Maria Val Martin
Comparison fields: 5 of 110
  • Atmospheric Science 2.2k
  • Global and Planetary Change 2.0k
  • Health, Toxicology and Mutagenesis 732
  • Environmental Engineering 348
  • Geochemistry and Petrology 72
Replace C. P. Meyer with:
C. P. Meyer Australia
Bret A. Schichtel United States
Kjetil Tørseth Norway
Omid Mazdiyasni United States
Gail Tonnesen United States
Avelino F. Arellano United States
Neng‐Huei Lin Taiwan
Nadine Unger United States
J. L. Hand United States
Tamás Weidinger Hungary
Maria Val Martin relative to C. P. Meyer Australia C. P. Meyer's profile →
Citations per field
00.5×3.8×
C. P. Meyer · 1×
Citations per year

Countries citing papers authored by Maria Val Martin

Since Specialization
Citations

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

Fields of papers citing papers by Maria Val Martin

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Maria Val Martin. 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 Maria Val Martin. The network helps show where Maria Val Martin may publish in the future.

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 202410
2 20246
3
Enhanced weathering in the US Corn Belt delivers carbon removal with agronomic benefitsbreakdown →
202449
4 202216
5 20229
6 20213
7 20201
8 201940
9 20184
10 201836
11 201759
12 2016124
13 20155
14 201595
15 201418
16 20131
17 201323
18 201342
19 20131
20
Implications of North American Boreal Fires on Air Quality and Composition in Nearby and Remote Regions
20051

About Maria Val Martin

Maria Val Martin is a scholar working on Atmospheric Science, Global and Planetary Change and Health, Toxicology and Mutagenesis, having authored 57 papers that have together received 3.1k indexed citations. Recurring topics across this work include Atmospheric chemistry and aerosols (43 papers), Atmospheric and Environmental Gas Dynamics (33 papers), Atmospheric Ozone and Climate (19 papers), Fire effects on ecosystems (18 papers), Atmospheric aerosols and clouds (9 papers), Air Quality and Health Impacts (5 papers), Plant responses to elevated CO2 (5 papers) and Climate variability and models (5 papers). The work is most often cited by research in Atmospheric Science (2.2k citations), Global and Planetary Change (2.0k citations) and Health, Toxicology and Mutagenesis (732 citations). Maria Val Martin has collaborated with scholars based in United States, United Kingdom and Hong Kong. Frequent co-authors include Amos P. K. Tai, Colette L. Heald, Ralph A. Kahn, R. C. Owen, R. E. Honrath, Jennifer A. Logan, Paulo Fialho, K. Lapina, Gabriele Pfister and Bonne Ford. Their work appears in journals such as Science, Proceedings of the National Academy of Sciences and SHILAP Revista de lepidopterología.

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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