Modélisation Systémique Appliquée aux Ruminants

6.6k citations
389 papers ·

Impact in

Papers in

Modélisation Systémique Appliquée aux Ruminants

372 papers receiving 6.6k citations

Peers

Modélisation Systémique Appliquée aux Ruminants
Comparison fields: 5 of 159
  • Agronomy and Crop Science 2.8k
  • Animal Science and Zoology 869
  • Small Animals 638
  • Equine 107
  • Aquatic Science 276
Replace École supérieure des agricultures with:
École supérieure des agricultures France
Laboratoire Animal et Agroécosystèmes France
Institut du Porc France
Lallemand (France) France
DSM (Switzerland) Switzerland
Qualité des Produits Animaux France
Instituto de Ganadería de Montaña Spain
Foraggere e Lattiero Casearie Italy
Research Institute of Organic Agriculture Belgium
Scottish Agricultural Science Agency United Kingdom
Modélisation Systémique Appliquée aux Ruminants relative to École supérieure des agricultures France École supérieure des agricultures's profile →
Citations per field
00.5×2×4×6.3×
École supérieure des agricultures · 1×
Citations per year

Countries citing scholars working at Modélisation Systémique Appliquée aux Ruminants

Since Specialization
Citations

This map shows the geographic impact of research produced by authors working at Modélisation Systémique Appliquée aux Ruminants. 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 papers produced at Modélisation Systémique Appliquée aux Ruminants with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Modélisation Systémique Appliquée aux Ruminants more than expected).

Fields of papers published by authors at Modélisation Systémique Appliquée aux Ruminants

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers affiliated with Modélisation Systémique Appliquée aux Ruminants at the time of their publication. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers affiliated with Modélisation Systémique Appliquée aux Ruminants at the time of their publication.

About Modélisation Systémique Appliquée aux Ruminants

In recent decades, authors affiliated with Modélisation Systémique Appliquée aux Ruminants have published 389 papers, which have received a total of 6.6k indexed citations . Scholars at this organization have produced 213 papers in Agronomy and Crop Science, 50 papers in Animal Science and Zoology, 36 papers in Small Animals, 14 papers in Forestry and 7 papers in Equine on the topics of Ruminant Nutrition and Digestive Physiology (180 papers), Genetic and phenotypic traits in livestock (70 papers), Animal Behavior and Welfare Studies (33 papers), Reproductive Physiology in Livestock (32 papers), Animal Nutrition and Physiology (32 papers), Effects of Environmental Stressors on Livestock (14 papers), Pasture and Agricultural Systems (13 papers) and Sustainable Agricultural Systems Analysis (13 papers). Their work is cited by papers focused on Agronomy and Crop Science (2.8k citations), Animal Science and Zoology (869 citations), Small Animals (638 citations), Equine (107 citations) and Aquatic Science (276 citations). Authors at Modélisation Systémique Appliquée aux Ruminants collaborate with scholars in France, Denmark and United Kingdom and have published in prestigious journals including animal, Journal of Dairy Science, Journal of Animal Science, Animal Feed Science and Technology and Applied Animal Behaviour Science. Some of Modélisation Systémique Appliquée aux Ruminants's most productive authors include Sauvant Daniel, N.C. Friggens, Sylvie Giger‐Reverdin, Pierre Nozière, Laurence Puillet, Donagh Pearse Berry, Birte Lindstrøm Nielsen, Gilles Tran, Valérie Heuze and François Lebas.

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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