A. Gallay

30 papers receiving 798 citations

Peers

A. Gallay
Comparison fields: 5 of 76
  • Infectious Diseases 423
  • Microbiology 58
  • Food Science 145
  • Water Science and Technology 108
  • Endocrinology 17
Replace N. S. Galbraith with:
N. S. Galbraith United Kingdom
Hans van den Kerkhof Netherlands
J N Mbithi Canada
David R. Telford United Kingdom
Nora Pisanic United States
M. Exner Germany
Suporn Pholwat United States
B. Chattopadhyay United Kingdom
Rahul J. Thomas Australia
P A Wright United Kingdom
A. Gallay relative to N. S. Galbraith United Kingdom N. S. Galbraith's profile →
Citations per field
00.5×5×11.3×
N. S. Galbraith · 1×
Citations per year

Countries citing papers authored by A. Gallay

Since Specialization
Citations

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

Fields of papers citing papers by A. Gallay

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside A. Gallay, 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 A. Gallay Line = papers co-authored together A. Gallay 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 2008190
2 2006140
3 200592
4
Les toxi-infections alimentaires collectives en France, en 1999 et 2000
200275
5 200964
6 200757
7 200451
8 200047
9 200326
10
Les toxi-infections alimentaires collectives en France en 2001-2003
200324
11 200219
12 201513
13 20089
14 20169
15 20178
16 20037
17 20196
18 20226
19
Dynamics and impact of the A(H1N1)2009 epidemic in metropolitan France, 2009-2010.
20105
20 20034

About A. Gallay

A. Gallay is a scholar working on Food Science, Epidemiology, Infectious Diseases, Health Information Management and Statistics and Probability, having authored 31 papers that have together received 868 indexed citations. Recurring topics across this work include Data-Driven Disease Surveillance (8 papers), Salmonella and Campylobacter epidemiology (8 papers), Viral gastroenteritis research and epidemiology (4 papers), HIV/AIDS Research and Interventions (2 papers), Census and Population Estimation (2 papers), Medical Coding and Health Information (2 papers), Fecal contamination and water quality (2 papers) and Syphilis Diagnosis and Treatment (2 papers). The work is most often cited by research in Infectious Diseases (423 citations), Microbiology (58 citations), Food Science (145 citations), Water Science and Technology (108 citations) and Endocrinology (17 citations). A. Gallay has collaborated with scholars based in France, Netherlands and Germany. Frequent co-authors include Véronique Vaillant, Fabienne Bon, Henriette de Valk, Françis Mégraud, Sylvie Haeghebaert, Christine Castor, Maxime Cournot, Pierre Le Cann, J C Desenclos and Évelyne Kohli. Their work appears in journals such as Eurosurveillance, European Journal of Public Health, American Journal of Epidemiology, Epidemiology and Infection and Journal of Clinical Microbiology.

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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