D. Gatel

844 citations
36 papers · 717 · h-index 16

Impact in

Papers in

D. Gatel

35 papers receiving 601 citations

Peers

D. Gatel
Comparison fields: 5 of 80
  • Health, Toxicology and Mutagenesis 522
  • Endocrinology 115
  • Water Science and Technology 323
  • Industrial and Manufacturing Engineering 87
  • Civil and Structural Engineering 196
Replace Ramon G. Lee with:
Ramon G. Lee United States
Tarja Nissinen Finland
Nicholas B. Hallam United Kingdom
Stewart Husband United Kingdom
Geo Bakker Netherlands
Stefan Kötzsch Switzerland
Harm R. Veenendaal Netherlands
J. Cavard France
Wolfgang Uhl Germany
Graeme Moore United Kingdom
D. Gatel relative to Ramon G. Lee United States Ramon G. Lee's profile →
Citations per field
00.5×1.5×2.3×
Ramon G. Lee · 1×
Citations per year

Countries citing papers authored by D. Gatel

Since Specialization
Citations

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

Fields of papers citing papers by D. Gatel

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 36 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1999133
2 199664
3 199755
4 199642
5 199738
6 200035
7 199730
8 200224
9 199523
10 200423
11 200122
12 200322
13 200022
14 199620
15 199919
16 200117
17
Biodiversity in drinking water distribution systems:a brief review
199714
18 201213
19 200213
20 200013

About D. Gatel

D. Gatel is a scholar working on Health, Toxicology and Mutagenesis, Water Science and Technology, Civil and Structural Engineering, Pollution and Industrial and Manufacturing Engineering, having authored 36 papers that have together received 717 indexed citations. Recurring topics across this work include Water Treatment and Disinfection (25 papers), Membrane Separation Technologies (8 papers), Water Systems and Optimization (7 papers), Fecal contamination and water quality (6 papers), Wastewater Treatment and Nitrogen Removal (4 papers), Wastewater Treatment and Reuse (3 papers), Water Quality and Pollution Assessment (3 papers) and Urban Stormwater Management Solutions (3 papers). The work is most often cited by research in Health, Toxicology and Mutagenesis (522 citations), Endocrinology (115 citations), Water Science and Technology (323 citations), Industrial and Manufacturing Engineering (87 citations) and Civil and Structural Engineering (196 citations). D. Gatel has collaborated with scholars based in France, United States and Belgium. Frequent co-authors include J. Cavard, Jean‐Claude Block, Vincent Gauthier, J. C. Block, Pierre Servais, Jean-Marie Portal, Gary Amy, Donald J. Reasoner, Frédéric Y. Bois and Laurence Mathieu. Their work appears in journals such as American Water Works Association, Water Research, Journal of Water Supply Research and Technology—AQUA, Desalination and Ozone Science and 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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