Robert Delatolla

87 papers receiving 2.3k citations

Peers

Robert Delatolla
Comparison fields: 5 of 101
  • Pollution 927
  • Industrial and Manufacturing Engineering 566
  • Infectious Diseases 864
  • Water Science and Technology 419
  • Health, Toxicology and Mutagenesis 302
Replace Paola Foladori with:
Paola Foladori Italy
Sheena Kumari South Africa
Naohiro Kishida Japan
Lauren B. Stadler United States
César R. Mota Brazil
Ben van den Akker Australia
Ryo Honda Japan
Banu Örmeci Canada
Juliana Calábria de Araújo Brazil
Meixue Chen China
Robert Delatolla relative to Paola Foladori Italy Paola Foladori's profile →
Citations per field
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Citations per year

Countries citing papers authored by Robert Delatolla

Since Specialization
Citations

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

Fields of papers citing papers by Robert Delatolla

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 95 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2020283
2 2021151
3 2017135
4 2013134
5 202295
6 202186
7 201984
8 202273
9 201651
10 201646
11 201446
12 200945
13 201743
14 202040
15 202139
16 201838
17 201838
18 202138
19 201636
20 200935

About Robert Delatolla

Robert Delatolla is a scholar working on Pollution, Industrial and Manufacturing Engineering, Infectious Diseases, Water Science and Technology and Biomedical Engineering, having authored 95 papers that have together received 2.3k indexed citations. Recurring topics across this work include Wastewater Treatment and Nitrogen Removal (44 papers), Constructed Wetlands for Wastewater Treatment (29 papers), SARS-CoV-2 detection and testing (25 papers), SARS-CoV-2 and COVID-19 Research (13 papers), Biosensors and Analytical Detection (12 papers), Membrane Separation Technologies (12 papers), Water Treatment and Disinfection (11 papers) and Anaerobic Digestion and Biogas Production (9 papers). The work is most often cited by research in Pollution (927 citations), Industrial and Manufacturing Engineering (566 citations), Infectious Diseases (864 citations), Water Science and Technology (419 citations) and Health, Toxicology and Mutagenesis (302 citations). Robert Delatolla has collaborated with scholars based in Canada, United States and Iran. Frequent co-authors include Kevin J. Kennedy, Alain Stintzi, Édith Laflamme, Patrick M. D’Aoust, Alain Gadbois, Élisabeth Mercier, Tyson E. Graber, Alex MacKenzie, Mark R. Servos and Kevin Kennedy. Their work appears in journals such as Water Research, Water Quality Research Journal, The Science of The Total Environment, Environmental Technology and Environmental Science Water Research & 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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