Home › Researcher directory › Laure Pecquerie
Laure Pecquerie
Affiliation : Cadi Ayyad University · Centre National de la Recherche Scientifique · Ifremer · Université de Bretagne Occidentale · Institut Universitaire Européen de la Mer · Laboratoire des Sciences de l'Environnement Marin · Institut de Recherche pour le Développement · Université de Bretagne Occidentale
- 11Publications (affiliation in France)
- 134Total publications
- 2125Citations
- 22h-index
Research profile
Laure Pecquerie has 11 indexed publications (2015–2026). Their work appears mainly in “HAL”, “Lecture notes in networks and systems” and “Ecological Informatics”. Their most cited article, “Complex small pelagic fish population patterns arising from individual behavioral responses to their environment” (2018), has been cited 65 times. 6 of these publications date from the last three years of activity. Their work is co-authored with at least 12 researchers, including institutions in Senegal, Morocco, Chile, Mexico.
Is this you? Get your research seen
Create your free DzCademia profile and add your articles: they will show up more easily on Google and in AI assistants like ChatGPT, so more people can read and cite your work.
Create my free profile Add my publicationsResearch areas
- Marine and fisheries research
- Physiological and biochemical adaptations
- Aquaculture Nutrition and Growth
- Isotope Analysis in Ecology
- Mathematical and Theoretical Epidemiology and Ecology Models
Publications (11)
- Reliable machine learning initialization methods for the calibration of Dynamic Energy Budget models
- From calibration to identifiability analysis: Using a multi-reserve DEB model to understand holopelagic Sargassum spp. growth
- DEBTraits-NER: annotated corpus and construction pipeline
- Automating Information Extraction from Textual Documents Using NLP Techniques: A Review of Integration in Document Management Systems
- Issues raised by multidisciplinary research on the food security risks associated with the changes in the sardinella processing chain and in the marine environment in Senegal
- Artificial Intelligence in Fish Age Estimation from Otolith Images: Systematic Review
- Population traits in Small pelagic fish model: emergence from interactions between a turbulent environment and individual behaviors in Upwelling Systems
- Complex small pelagic fish population patterns arising from individual behavioral responses to their environment
- Contribution of mathematical modeling to the ecosystem approach to fisheries management and the marine environment (EAMME) : the AWA experience
- Population traits in small pelagic fish model : emergence from interactions between turbulent environment and individual behaviors in upwelling systems [résumé]
- Toward new scenario on small pelagic fish spatial population dynamics related on both hydrodynamic and biogeochemical simulations
Publication venues
- HAL × 4
- Lecture notes in networks and systems × 2
- Ecological Informatics × 1
- Ecological Modelling × 1
- Zenodo (CERN European Organization for Nuclear Research) × 1
- Progress In Oceanography × 1
Publications per year
- 20263
- 20253
- 20221
- 20181
- 20171
- 20161
- 20151
Collaborations
Partner institutions : Unité de Modélisation Mathématique et Informatique des Systèmes Complexes · Laboratory for Ocean Physics and Satellite Remote Sensing · Institut Sénégalais de Recherches Agricoles · Laboratoire d'Océanographie et du Climat : Expérimentations et Approches Numériques · Université de Toulon
Co-authors’ countries : Senegal · Morocco · Chile · Mexico
Co-authors
- Timothée Brochier
- Patrice Brehmer
- Pierre-Amaël Auger
- Éric Machu
- Xavier Capet
- Christophe Lett
- Somaya Jabir
- María-José Lagunes
- Aliou Bâ
- Thierry Thibaut
- Valérie Stiger‐Pouvreau
- Modou Thiaw
Bibliographic data from OpenAlex (open database).
Why choose Dzcademia?
Profiles, articles and conference contributions: give your research a structured public presence. Integrated metadata help search engines and AI assistants identify your work and understand its references.
Comment with Google
Sign in with Google to comment directly on this page.