David De Ridder

3.5k citations
26 papers · 329 · h-index 12

Impact in

    • COVID-19 epidemiological studies
  • Pollution top 10%
    • Pharmaceutical and Antibiotic Environmental Impacts
    • Wastewater Treatment and Nitrogen Removal

Papers in

David De Ridder

24 papers receiving 327 citations

Peers

David De Ridder
Comparison fields: 5 of 96
  • Modeling and Simulation 34
  • Pollution 85
  • Geochemistry and Petrology 26
  • Health, Toxicology and Mutagenesis 55
  • Industrial and Manufacturing Engineering 28
Replace Charlotte Smith with:
Charlotte Smith United States
Abu Bakkar Siddique United States
Eleni P. Christoforidou Greece
Belay Desye Ethiopia
Meltem Çöl Türkiye
Md. Tahmidul Islam Bangladesh
Malihe Moazeni Iran
Marco Quarato Italy
Reza Fouladi-Fard Iran
Otakuye Conroy‐Ben United States
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Citations per field
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Charlotte Smith · 1×
Citations per year

Countries citing papers authored by David De Ridder

Since Specialization
Citations

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

Fields of papers citing papers by David De Ridder

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by David De Ridder. 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 David De Ridder. The network helps show where David De Ridder may publish in the future.

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 26 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201748
2 202043
3 202127
4 200924
5 202224
6 202120
7 202119
8 202018
9 202317
10 202115
11 201913
12 201911
13 202311
14 20216
15 20215
16 20215
17 20244
18 20224
19 20194
20 20223

About David De Ridder

David De Ridder is a scholar working on Health, Toxicology and Mutagenesis, Pollution, Health, Modeling and Simulation and Epidemiology, having authored 26 papers that have together received 329 indexed citations. Recurring topics across this work include Water Treatment and Disinfection (5 papers), Health disparities and outcomes (5 papers), COVID-19 epidemiological studies (4 papers), Pharmaceutical and Antibiotic Environmental Impacts (4 papers), Data-Driven Disease Surveillance (3 papers), Membrane Separation Technologies (2 papers), Air Quality and Health Impacts (2 papers) and Global Health Care Issues (2 papers). The work is most often cited by research in Modeling and Simulation (34 citations), Pollution (85 citations), Geochemistry and Petrology (26 citations), Health, Toxicology and Mutagenesis (55 citations) and Industrial and Manufacturing Engineering (28 citations). David De Ridder has collaborated with scholars based in Switzerland, United States and Netherlands. Frequent co-authors include Jinsong Wang, Nora B. Sutton, Albert van der Wal, Idris Guessous, Stéphane Joost, Silvia Stringhini, Marc Vidal, Soon Gang Choi, Alice Desbuleux and José Luís Sandoval. Their work appears in journals such as Frontiers in Public Health, Water Research, Health & Place, Scientific Reports and The Lancet Digital Health.

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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