Robert Delatolla

85 papers receiving 2.2k citations

Peers

Robert Delatolla
Comparison fields: 5 of 104
  • Pollution 925
  • Industrial and Manufacturing Engineering 568
  • Infectious Diseases 842
  • Water Science and Technology 425
  • Health, Toxicology and Mutagenesis 302
Replace Paola Foladori with:
Paola Foladori Italy
Sheena Kumari South Africa
Lauren B. Stadler United States
Naohiro Kishida Japan
César R. Mota Brazil
Francis L. de los Reyes United States
Ben van den Akker Australia
Ryo Honda Japan
Banu Örmeci Canada
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 92 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2020276
2 2021148
3 2017134
4 2013132
5 202288
6 202185
7 201982
8 202270
9 201651
10 201448
11 201645
12 200945
13 201742
14 202039
15 201838
16 202137
17 201837
18 201636
19 202136
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 92 papers that have together received 2.2k 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), Membrane Separation Technologies (12 papers), Biosensors and Analytical Detection (12 papers), Water Treatment and Disinfection (12 papers) and Anaerobic Digestion and Biogas Production (9 papers). The work is most often cited by research in Pollution (925 citations), Industrial and Manufacturing Engineering (568 citations), Infectious Diseases (842 citations), Water Science and Technology (425 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, Kevin Kennedy and Mark R. Servos. Their work appears in journals such as Water Research, Water Quality Research Journal, The Science of The Total Environment, Environmental Technology and Bioprocess and Biosystems Engineering.

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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