D-Index & Metrics Best Publications
Ecology and Evolution
France
2023

D-Index & Metrics D-index (Discipline H-index) only includes papers and citation values for an examined discipline in contrast to General H-index which accounts for publications across all disciplines.

Discipline name D-index D-index (Discipline H-index) only includes papers and citation values for an examined discipline in contrast to General H-index which accounts for publications across all disciplines. Citations Publications World Ranking National Ranking
Ecology and Evolution D-index 54 Citations 9,978 224 World Ranking 1938 National Ranking 73

Research.com Recognitions

Awards & Achievements

2023 - Research.com Ecology and Evolution in France Leader Award

Overview

What is he best known for?

The fields of study he is best known for:

  • Ecology
  • Statistics
  • IUCN Red List

Ecology, Econometrics, Mark and recapture, Population size and Population growth are his primary areas of study. His Ecology study frequently draws connections to adjacent fields such as Population model. His Econometrics research integrates issues from Statistics, Sample size determination, Bayesian probability and Markov chain Monte Carlo.

The study incorporates disciplines such as Breed, Inference, Goodness of fit, Breeding in the wild and Booby in addition to Mark and recapture. His Population size study incorporates themes from Sampling, Welfare economics and Individual heterogeneity. Olivier Gimenez interconnects Endangered species, Fecundity, Wildlife management, Animal ecology and Wildlife conservation in the investigation of issues within Population growth.

His most cited work include:

  • U‐CARE: Utilities for performing goodness of fit tests and manipulating CApture–REcapture data (540 citations)
  • Assessing the impact of climate variation on survival in vertebrate populations (301 citations)
  • A proposal for a goodness-of-fit test to the Arnason-Schwarz multisite capture-recapture model. (205 citations)

What are the main themes of his work throughout his whole career to date?

Olivier Gimenez mainly focuses on Ecology, Mark and recapture, Statistics, Econometrics and Population size. His biological study spans a wide range of topics, including Sampling and Population growth. Olivier Gimenez does research in Population growth, focusing on Vital rates specifically.

His research in Mark and recapture focuses on subjects like Inference, which are connected to Data mining. Bayesian probability, Bayesian inference and Frequentist inference are subfields of Statistics in which his conducts study. A large part of his Econometrics studies is devoted to Covariate.

He most often published in these fields:

  • Ecology (44.64%)
  • Mark and recapture (27.14%)
  • Statistics (21.43%)

What were the highlights of his more recent work (between 2017-2021)?

  • Ecology (44.64%)
  • Mark and recapture (27.14%)
  • Statistics (21.43%)

In recent papers he was focusing on the following fields of study:

Olivier Gimenez spends much of his time researching Ecology, Mark and recapture, Statistics, Occupancy and Abundance. His research in Predation, Species distribution, Range, Ungulate and Apex predator are components of Ecology. His work deals with themes such as Imperfect and Econometrics, which intersect with Mark and recapture.

His work on Frequentist inference and Fisher information as part of general Statistics research is often related to Limit cycle, Attractor and Data type, thus linking different fields of science. His Occupancy study also includes

  • Extinction together with Field and Conservation status,
  • Sampling which connect with Statistical model, Inference, Bayesian probability and Hidden Markov model. The various areas that he examines in his Statistical model study include Goodness of fit, Nonparametric statistics and Covariate.

Between 2017 and 2021, his most popular works were:

  • Individual heterogeneity and capture–recapture models: what, why and how? (42 citations)
  • Delivering the promises of trait‐based approaches to the needs of demographic approaches, and vice versa (39 citations)
  • Identifying priority conservation areas for a recovering brown bear population in Greece using citizen science data (31 citations)

In his most recent research, the most cited papers focused on:

  • Ecology
  • Statistics
  • IUCN Red List

Olivier Gimenez mainly focuses on Mark and recapture, Ecology, Individual heterogeneity, Estimation and Statistics. His study in Mark and recapture is interdisciplinary in nature, drawing from both Machine learning, Statistical model, Artificial intelligence and Econometrics. His study on Econometrics also encompasses disciplines like

  • Life history theory which intersects with area such as Vital rates,
  • Terminology which intersects with area such as Ecology.

His Ecology research is multidisciplinary, incorporating perspectives in Reproductive history and Complex system. His study focuses on the intersection of Individual heterogeneity and fields such as Reproduction with connections in the field of Affect and Mammal. The study incorporates disciplines such as Conservation status, Eurasian lynx and Robustness in addition to Statistics.

This overview was generated by a machine learning system which analysed the scientist’s body of work. If you have any feedback, you can contact us here.

Best Publications

U‐CARE: Utilities for performing goodness of fit tests and manipulating CApture–REcapture data

.
Ecography (2009)

739 Citations

Assessing the impact of climate variation on survival in vertebrate populations

.
Biological Reviews (2008)

399 Citations

Bayesian Analysis for Population Ecology

.
(2009)

303 Citations

A proposal for a goodness-of-fit test to the Arnason-Schwarz multisite capture-recapture model.

Roger Pradel;Claire M. A. Wintrebert;Olivier Gimenez.
Biometrics (2003)

243 Citations

REVIEW: Predictive ecology in a changing world

.
Journal of Applied Ecology (2015)

235 Citations

An assessment of integrated population models: bias, accuracy, and violation of the assumption of independence.

.
Ecology (2010)

217 Citations

ESTIMATING SURVIVAL AND TEMPORARY EMIGRATION IN THE MULTISTATE CAPTURE–RECAPTURE FRAMEWORK

.
Ecology (2004)

216 Citations

Use of Integrated Modeling to Enhance Estimates of Population Dynamics Obtained from Limited Data

.
Conservation Biology (2007)

213 Citations

State-space modelling of data on marked individuals

.
Ecological Modelling (2007)

191 Citations

M-SURGE: new software specifically designed for multistate capture-recapture models

.
Animal Biodiversity and Conservation (2004)

188 Citations

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