Robert Burton

217 papers receiving 4.8k citations

Peers

Robert Burton
Comparison fields: 5 of 194
  • Health, Toxicology and Mutagenesis 994
  • Mathematical Physics 635
  • Statistics and Probability 395
  • Clinical Biochemistry 217
  • Environmental Engineering 427
Replace Hiroshi Tanaka with:
Hiroshi Tanaka Japan
Kenny S. Crump United States
Frank E. Grubbs United States
A. T. James United Kingdom
James B. Bassingthwaighte United States
Jie Jie China
Michael C. Reed United States
James N. Weiss United States
Alessandro Giuliani Italy
Yongxin Chen China
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Citations per field
00.5×3.8×
Hiroshi Tanaka · 1×
Citations per year

Countries citing papers authored by Robert Burton

Since Specialization
Citations

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

Fields of papers citing papers by Robert Burton

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 230 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1989206
2 2009200
3 1972186
4 1993133
5 1993132
6 1995131
7 1953130
8 1996120
9 1969111
10 198997
11 196395
12 195893
13 200186
14 198882
15 197480
16 197878
17 197678
18 201174
19 196372
20 199469

About Robert Burton

Robert Burton is a scholar working on Molecular Biology, Health, Toxicology and Mutagenesis, Mathematical Physics, Artificial Intelligence and Environmental Engineering, having authored 230 papers that have together received 5.3k indexed citations. Recurring topics across this work include Air Quality and Health Impacts (24 papers), Mathematical Dynamics and Fractals (22 papers), Atmospheric chemistry and aerosols (12 papers), Glycosylation and Glycoproteins Research (11 papers), Stochastic processes and statistical mechanics (10 papers), Air Quality Monitoring and Forecasting (10 papers), Drilling and Well Engineering (9 papers) and Neural Networks and Applications (9 papers). The work is most often cited by research in Health, Toxicology and Mutagenesis (994 citations), Mathematical Physics (635 citations), Statistics and Probability (395 citations), Clinical Biochemistry (217 citations) and Environmental Engineering (427 citations). Robert Burton has collaborated with scholars based in United States, Netherlands and United Kingdom. Frequent co-authors include Petros Koutrakis, Nathan O. Kaplan, Constantinos Sioutas, Michaël Keane, Herold Dehling, Harish C. Agrawal, Helen Suh, Robin Pemantle, P. Koutrakis and George J. Mpitsos. Their work appears in journals such as Environmental Health Perspectives, Journal of Biological Chemistry, Archives of Biochemistry and Biophysics, Journal of Neurochemistry and Transactions of the American Mathematical Society.

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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