Robert J. Farber

686 citations
36 papers · 538 · h-index 11

Impact in

Papers in

Robert J. Farber

34 papers receiving 491 citations

Peers

Robert J. Farber
Comparison fields: 5 of 66
  • Atmospheric Science 385
  • Health, Toxicology and Mutagenesis 256
  • Environmental Engineering 139
  • Global and Planetary Change 200
  • Automotive Engineering 89
Replace M. Kalina with:
M. Kalina Austria
T.G. Ellestad United States
Geert Draaijers Netherlands
Stephen Mueller United States
M. Millán Spain
Paul Wyers Netherlands
Ludwig Ries Germany
Walter Ruijgrok Netherlands
Wenjie Zhang China
O. E. Salmon United States
Robert J. Farber relative to M. Kalina Austria M. Kalina's profile →
Citations per field
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M. Kalina · 1×
Citations per year

Countries citing papers authored by Robert J. Farber

Since Specialization
Citations

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

Fields of papers citing papers by Robert J. Farber

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 36 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1994105
2 199472
3 201464
4 199840
5 200732
6 198931
7 200020
8 198417
9 200016
10 198112
11 199411
12 199710
13
Project MOHAVE data analysis plan
19939
14 19989
15 19978
16 19828
17 20098
18 19828
19 19986
20 19916

About Robert J. Farber

Robert J. Farber is a scholar working on Atmospheric Science, Global and Planetary Change, Health, Toxicology and Mutagenesis, Environmental Engineering and Automotive Engineering, having authored 36 papers that have together received 538 indexed citations. Recurring topics across this work include Atmospheric chemistry and aerosols (25 papers), Air Quality and Health Impacts (12 papers), Atmospheric and Environmental Gas Dynamics (11 papers), Air Quality Monitoring and Forecasting (7 papers), Atmospheric aerosols and clouds (5 papers), Vehicle emissions and performance (3 papers), Wind and Air Flow Studies (3 papers) and Atmospheric Ozone and Climate (3 papers). The work is most often cited by research in Atmospheric Science (385 citations), Health, Toxicology and Mutagenesis (256 citations), Environmental Engineering (139 citations), Global and Planetary Change (200 citations) and Automotive Engineering (89 citations). Robert J. Farber has collaborated with scholars based in United States and Switzerland. Frequent co-authors include Delbert J. Eatough, Edwin A. Lewis, Robert Burton, Hongmao Tang, M. Laborde, Margit Schwikowski, J. A. Menking, S. Kaspari, Lowell L. Ashbaugh and Marc Pitchford. Their work appears in journals such as Journal of the Air & Waste Management Association, Atmospheric Environment, Journal of Environmental Quality, The Science of The Total 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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