J. Cavard

554 citations
31 papers · 456 · h-index 13

Impact in

Papers in

J. Cavard

30 papers receiving 415 citations

Peers

J. Cavard
Comparison fields: 5 of 67
  • Health, Toxicology and Mutagenesis 273
  • Water Science and Technology 232
  • Industrial and Manufacturing Engineering 66
  • Endocrinology 32
  • Process Chemistry and Technology 18
Replace Tarja Nissinen with:
Tarja Nissinen Finland
Graeme Moore United Kingdom
Jason Carter United States
Katrin Doederer Australia
Gil Crozes United States
Lilly Heller‐Grossman Israel
Andrzej Wilczak
Jeffrey Q. Adams United States
Wanhong Guo China
D. Gatel France
J. Cavard relative to Tarja Nissinen Finland Tarja Nissinen's profile →
Citations per field
00.5×1.6×
Tarja Nissinen · 1×
Citations per year

Countries citing papers authored by J. Cavard

Since Specialization
Citations

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

Fields of papers citing papers by J. Cavard

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 31 papers — load more, or switch the sort, to bring in the rest.

#Work
1 200573
2 200546
3 200446
4 200032
5 200626
6 200224
7 200022
8 200420
9 199919
10 200318
11 200116
12 200213
13 200012
14 200011
15 200310
16 20019
17 20059
18 20007
19 20016
20 20026

About J. Cavard

J. Cavard is a scholar working on Health, Toxicology and Mutagenesis, Water Science and Technology, Civil and Structural Engineering, Biomedical Engineering and Endocrinology, having authored 31 papers that have together received 456 indexed citations. Recurring topics across this work include Water Treatment and Disinfection (19 papers), Membrane Separation Technologies (9 papers), Water Systems and Optimization (5 papers), Fecal contamination and water quality (5 papers), Vibrio bacteria research studies (3 papers), Advanced Chemical Sensor Technologies (3 papers), Urban Stormwater Management Solutions (3 papers) and Water Quality and Pollution Assessment (2 papers). The work is most often cited by research in Health, Toxicology and Mutagenesis (273 citations), Water Science and Technology (232 citations), Industrial and Manufacturing Engineering (66 citations), Endocrinology (32 citations) and Process Chemistry and Technology (18 citations). J. Cavard has collaborated with scholars based in France, United States and Belgium. Frequent co-authors include D. Gatel, Stéphan Brosillon, A. Laplanche, Gary Amy, Pierre Servais, Sébastien Saby, Laurence Mathieu, P. Hartemann, Jean Debroux and M. Djafer. Their work appears in journals such as American Water Works Association, Desalination, Water Science & Technology, Journal of Water Supply Research and Technology—AQUA and Water Research.

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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