Agnès Waret‐Szkuta

1.1k citations
33 papers · 774 indexed · h-index 15
Topics
Animal Disease Management and Epidemiology (17 papers)Vector-Borne Animal Diseases (10 papers)Virology and Viral Diseases (7 papers)

In The Last Decade

Agnès Waret‐Szkuta

33 papers receiving 716 citations

Peers

Agnès Waret‐Szkuta
Comparison fields: 5 of 91
  • Agronomy and Crop Science 289
  • Epidemiology 271
  • Ecology, Evolution, Behavior and Systematics 246
  • Virology 239
  • Infectious Diseases 238
Replace Daniel Beltrán‐Alcrudo with:
Daniel Beltrán‐Alcrudo Italy
Abdelmalik I. Khalafalla Sudan
Frank Norbert Mwiine Uganda
Nicholas A. Lyons United Kingdom
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Hachung Yoon South Korea
Serafeim C. Chaintoutis Greece
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Agnès Waret‐Szkuta relative to Daniel Beltrán‐Alcrudo Italy Daniel Beltrán‐Alcrudo's profile →
Citations per field
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Citations per year

Countries citing papers authored by Agnès Waret‐Szkuta

Since Specialization
Citations

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

Fields of papers citing papers by Agnès Waret‐Szkuta

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Agnès Waret‐Szkuta. 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 Agnès Waret‐Szkuta. The network helps show where Agnès Waret‐Szkuta may publish in the future.

Co-authorship network of co-authors of Agnès Waret‐Szkuta

This figure shows the co-authorship network connecting the top 25 collaborators of Agnès Waret‐Szkuta. A scholar is included among the top collaborators of Agnès Waret‐Szkuta based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Agnès Waret‐Szkuta. Agnès Waret‐Szkuta is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
#WorkIndexed citations
1 1
2 17
3 6
4 14
5 14
6 6
7 11
8 14
9 3
10 37
11 54
12 11
13 10
14 43
15 10
16 22
17 94
18 44
19 14
20 123

About Agnès Waret‐Szkuta

Agnès Waret‐Szkuta is a scholar working on Agronomy and Crop Science, Small Animals and Ecology, Evolution, Behavior and Systematics, having authored 33 papers that have together received 774 indexed citations. Recurring topics across this work include Animal Disease Management and Epidemiology (17 papers), Vector-Borne Animal Diseases (10 papers) and Virology and Viral Diseases (7 papers). The work is most often cited by research in Virology (239 citations), Agronomy and Crop Science (289 citations) and Infectious Diseases (238 citations). Agnès Waret‐Szkuta has collaborated with scholars based in France, United Kingdom and United States. Frequent co-authors include François Roger, Getachew Gari, Vladimir Grosbois, Philippe Jacquiet, Pascal Bonnet, Dirk U. Pfeiffer, Matthew Baylis, Didier Raboisson, K. Marie McIntyre and Sergé Morand. Their work appears in journals such as Proceedings of the National Academy of Sciences, PLoS ONE and Scientific Reports.

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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