Pierre Paccard

58 total papers · 496 total citations
10 papers, 345 citations indexed

About

Pierre Paccard is a scholar working on Sociology and Political Science, Agronomy and Crop Science and Atmospheric Science. According to data from OpenAlex, Pierre Paccard has authored 10 papers receiving a total of 345 indexed citations (citations by other indexed papers that have themselves been cited), including 3 papers in Sociology and Political Science, 3 papers in Agronomy and Crop Science and 2 papers in Atmospheric Science. Recurrent topics in Pierre Paccard's work include Milk Quality and Mastitis in Dairy Cows (3 papers), Cryospheric studies and observations (2 papers) and French Urban and Social Studies (2 papers). Pierre Paccard is often cited by papers focused on Milk Quality and Mastitis in Dairy Cows (3 papers), Cryospheric studies and observations (2 papers) and French Urban and Social Studies (2 papers). Pierre Paccard collaborates with scholars based in France and Czechia. Pierre Paccard's co-authors include Ketsia Raynal-Ljutovac, Yves Chilliard, Gilles Lagriffoul, Jacques Barnouin, Carmen de Jong, Claire Ponsart, Didier Boichard, Estelle Cateau, Bernard Faye and Catherine Disenhaus and has published in prestigious journals such as SHILAP Revista de lepidopterología, Small Ruminant Research and HAL (Le Centre pour la Communication Scientifique Directe).

In The Last Decade

Pierre Paccard

7 papers receiving 311 citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Pierre Paccard 190 128 116 90 87 10 345
Eva Ramos Morales 182 1.0× 141 1.1× 77 0.7× 68 0.8× 88 1.0× 9 381
Hope Faulkner 184 1.0× 75 0.6× 161 1.4× 95 1.1× 77 0.9× 7 341
Šimun Zamberlin 249 1.3× 146 1.1× 67 0.6× 60 0.7× 61 0.7× 17 386
Luca Grigoletto 150 0.8× 90 0.7× 61 0.5× 177 2.0× 56 0.6× 10 348
G. Tornambé 199 1.0× 93 0.7× 169 1.5× 155 1.7× 53 0.6× 14 381
Josefa González Prieto 286 1.5× 194 1.5× 144 1.2× 71 0.8× 87 1.0× 18 377
Gian Franco Greppi 128 0.7× 140 1.1× 30 0.3× 68 0.8× 51 0.6× 11 322
R. Didienne 234 1.2× 70 0.5× 106 0.9× 88 1.0× 64 0.7× 8 319
Aidin Foroutan 56 0.3× 137 1.1× 57 0.5× 84 0.9× 44 0.5× 13 323
Cécile Sibra 105 0.6× 60 0.5× 199 1.7× 159 1.8× 84 1.0× 15 371

Countries citing papers authored by Pierre Paccard

Since Specialization
Citations

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

Fields of papers citing papers by Pierre Paccard

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Pierre Paccard

This figure shows the co-authorship network connecting the top 25 collaborators of Pierre Paccard. A scholar is included among the top collaborators of Pierre Paccard 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 Pierre Paccard. Pierre Paccard is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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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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