Daniel Gerrity

85 papers receiving 3.8k citations

Peers

Daniel Gerrity
Comparison fields: 5 of 136
  • Industrial and Manufacturing Engineering 1.0k
  • Health, Toxicology and Mutagenesis 1.6k
  • Water Science and Technology 1.6k
  • Pollution 1.2k
  • Infectious Diseases 644
Replace Irene Xagoraraki with:
Irene Xagoraraki United States
W.A.M. Hijnen Netherlands
Graham A. Gagnon Canada
E.F. Beerendonk Netherlands
Guangming Jiang Australia
Mahmood Alimohammadi Iran
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Hiroaki Tanaka Japan
Robert C. Andrews Canada
Junxin Liu China
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Citations per field
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Citations per year

Countries citing papers authored by Daniel Gerrity

Since Specialization
Citations

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

Fields of papers citing papers by Daniel Gerrity

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 89 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2013383
2 2011265
3 2013219
4 2012193
5 2011171
6 2016167
7 2020163
8 2009159
9 2011134
10 2014114
11 2018104
12 2011101
13 202297
14 200889
15 202187
16 201476
17 201371
18 200970
19 201562
20 200759

About Daniel Gerrity

Daniel Gerrity is a scholar working on Health, Toxicology and Mutagenesis, Water Science and Technology, Infectious Diseases, Industrial and Manufacturing Engineering and Pollution, having authored 89 papers that have together received 3.9k indexed citations. Recurring topics across this work include Water Treatment and Disinfection (36 papers), SARS-CoV-2 detection and testing (18 papers), Wastewater Treatment and Reuse (17 papers), Pharmaceutical and Antibiotic Environmental Impacts (17 papers), Fecal contamination and water quality (13 papers), Advanced oxidation water treatment (11 papers), Biosensors and Analytical Detection (10 papers) and Viral gastroenteritis research and epidemiology (7 papers). The work is most often cited by research in Industrial and Manufacturing Engineering (1.0k citations), Health, Toxicology and Mutagenesis (1.6k citations), Water Science and Technology (1.6k citations), Pollution (1.2k citations) and Infectious Diseases (644 citations). Daniel Gerrity has collaborated with scholars based in United States, Switzerland and South Korea. Frequent co-authors include Shane A. Snyder, Rebecca A. Trenholm, Sujanie Gamage, Eric C. Wert, Aleksey N. Pisarenko, Urs von Gunten, Benjamin D. Stanford, Yunho Lee, Brian M. Pecson and Morteza Abbaszadegan. Their work appears in journals such as Water Research, Environmental Science Water Research & Technology, The Science of The Total Environment, Ozone Science and Engineering and Environmental Science & Technology.

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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