Naomi J. Farren

1.1k citations
25 papers · 717 indexed · h-index 13

Naomi J. Farren

23 papers receiving 700 citations

Peers

Naomi J. Farren
Comparison fields: 5 of 74
  • Health, Toxicology and Mutagenesis 487
  • Automotive Engineering 299
  • Atmospheric Science 318
  • Environmental Engineering 238
  • Process Chemistry and Technology 26
Replace Eduardo Monteiro Martins with:
Eduardo Monteiro Martins Brazil
Manni Zhu China
Madeleine Strum United States
Andrew J. Kean United States
Zhenyu Xing Canada
Y. Y. Cui United States
Gary R. Kendall United States
N. K. Meyer Australia
Paul Rieger United States
Jeremy D. Smith United States
Naomi J. Farren relative to Eduardo Monteiro Martins Brazil Eduardo Monteiro Martins's profile →
Citations per field
00.5×4.9×
Eduardo Monteiro Martins · 1×
Citations per year

Countries citing papers authored by Naomi J. Farren

Since Specialization
Citations

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

Fields of papers citing papers by Naomi J. Farren

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20250
2 20241
3 20240
4 20242
5 20239
6 20232
7 20235
8 202212
9 202132
10 202126
11 20218
12 202011
13 202084
14 202049
15 201936
16 201868
17 20173
18 2016104
19 201658
20 201553

About Naomi J. Farren

Naomi J. Farren is a scholar working on Health, Toxicology and Mutagenesis, Automotive Engineering, Atmospheric Science, Environmental Engineering and Process Chemistry and Technology, having authored 25 papers that have together received 717 indexed citations. Recurring topics across this work include Air Quality and Health Impacts (18 papers), Atmospheric chemistry and aerosols (15 papers), Vehicle emissions and performance (14 papers), Air Quality Monitoring and Forecasting (10 papers), Atmospheric Ozone and Climate (5 papers), Indoor Air Quality and Microbial Exposure (2 papers), Catalytic Processes in Materials Science (2 papers) and Spectroscopy and Laser Applications (2 papers). The work is most often cited by research in Health, Toxicology and Mutagenesis (487 citations), Automotive Engineering (299 citations), Atmospheric Science (318 citations), Environmental Engineering (238 citations) and Process Chemistry and Technology (26 citations). Naomi J. Farren has collaborated with scholars based in United Kingdom, France and Austria. Frequent co-authors include David C. Carslaw, Rebecca Rose, Adam Vaughan, Rebecca Wagner, Jacqueline F. Hamilton, Stuart K. Grange, James Lee, Stuart Young, Alastair C. Lewis and Carlo Bozzetti. Their work appears in journals such as Environmental Science & Technology, Atmospheric Environment X, The Journal of Physical Chemistry A, The Science of The Total Environment and Atmospheric chemistry and physics.

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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