M. J. Moore

790 citations
6 papers · 552 · h-index 5

Impact in

Papers in

M. J. Moore

5 papers receiving 546 citations

Peers

M. J. Moore
Comparison fields: 5 of 60
  • Atmospheric Science 494
  • Health, Toxicology and Mutagenesis 252
  • Global and Planetary Change 342
  • Environmental Engineering 86
  • Earth-Surface Processes 37
Replace S. Leinert with:
S. Leinert Ireland
Harri Portin Finland
Sascha Pfeifer Germany
R.E. Speer United States
Rachel A. Braun United States
G. Capes United Kingdom
Hong Liao China
Juan Andrés Casquero-Vera Spain
Suk-Jo Lee South Korea
Cécile Gaimoz France
M. J. Moore relative to S. Leinert Ireland S. Leinert's profile →
Citations per field
00.5×1.6×
S. Leinert · 1×
Citations per year

Countries citing papers authored by M. J. Moore

Since Specialization
Citations

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

Fields of papers citing papers by M. J. Moore

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 14 scholars most cited alongside M. J. Moore, 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 M. J. Moore Line = papers co-authored together M. J. Moore links everyone, so they are left out of the graph.

All Works

6 of 6 papers shown
#Work
1 2009237
2 2009123
3 2013112
4 200969
5 201111
6
Hygroscopicity of mineral dust particles: Roles of chemical mixing state and hygroscopic conversion timescale
20090

About M. J. Moore

M. J. Moore is a scholar working on Atmospheric Science, Global and Planetary Change, Health, Toxicology and Mutagenesis, Automotive Engineering and Environmental Engineering, having authored 6 papers that have together received 552 indexed citations. Recurring topics across this work include Atmospheric chemistry and aerosols (5 papers), Atmospheric aerosols and clouds (3 papers), Air Quality and Health Impacts (2 papers), Atmospheric Ozone and Climate (2 papers), Vehicle emissions and performance (1 paper), Mining and Gasification Technologies (1 paper), Fire effects on ecosystems (1 paper) and Maritime Transport Emissions and Efficiency (1 paper). The work is most often cited by research in Atmospheric Science (494 citations), Health, Toxicology and Mutagenesis (252 citations), Global and Planetary Change (342 citations), Environmental Engineering (86 citations) and Earth-Surface Processes (37 citations). M. J. Moore has collaborated with scholars based in United States. Frequent co-authors include Kimberly A. Prather, Ryan C. Sullivan, Sonia M. Kreidenweis, Markus D. Petters, Greg Roberts, Andrew P. Ault, Hiroshi Furutani, Melanie Zauscher, Ying Wang and Cassandra J. Gaston. Their work appears in journals such as Environmental Science & Technology, Analytical Chemistry, Physical Chemistry Chemical Physics, Atmospheric chemistry and physics and AGU Spring Meeting Abstracts.

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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