D-Index & Metrics Best Publications

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 35 Citations 14,535 131 World Ranking 4631 National Ranking 221

Overview

What is she best known for?

The fields of study she is best known for:

  • Ecology
  • Ecosystem
  • Statistics

Uta Berger spends much of her time researching Ecology, Mangrove, Ecology, Rhizophora mangle and Ecological systems theory. Her studies in Ecology integrate themes in fields like Individual based and Environmental resource management. Her studies deal with areas such as Agroforestry and Basal area as well as Mangrove.

A large part of her Ecology studies is devoted to Pattern-oriented modeling. Her Pattern-oriented modeling research incorporates themes from Agent-based model and Software engineering. Her work deals with themes such as Avicennia germinans, Brackish water, Agronomy and Abiotic component, which intersect with Rhizophora mangle.

Her most cited work include:

  • A standard protocol for describing individual-based and agent-based models (1898 citations)
  • The ODD protocol: A review and first update (1513 citations)
  • Pattern-oriented modeling of agent-based complex systems: lessons from ecology (1481 citations)

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

Her primary areas of investigation include Ecology, Mangrove, Ecosystem, Environmental resource management and Competition. Her research is interdisciplinary, bridging the disciplines of Fishery and Ecology. As a member of one scientific family, Uta Berger mostly works in the field of Mangrove, focusing on Crown and, on occasion, Vegetation.

Her work on Ecosystem is being expanded to include thematically relevant topics such as Rhizophora apiculata. Her Environmental resource management research integrates issues from Biodiversity and Ecosystem services. Particularly relevant to Laguncularia racemosa is her body of work in Rhizophora mangle.

She most often published in these fields:

  • Ecology (47.79%)
  • Mangrove (36.03%)
  • Ecosystem (11.76%)

What were the highlights of her more recent work (between 2018-2021)?

  • Mangrove (36.03%)
  • Ecology (47.79%)
  • Vegetation (6.62%)

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

Uta Berger mainly focuses on Mangrove, Ecology, Vegetation, Adaptive capacity and Crown. Her studies deal with areas such as Agroforestry, Canopy, Grafting and Groundwater as well as Mangrove. Her Agroforestry study incorporates themes from Tree health, Adaptive strategies, Debris and Bamboo.

Her work on Deforestation as part of general Ecology research is frequently linked to Tillandsia recurvata, thereby connecting diverse disciplines of science. Her study in Vegetation is interdisciplinary in nature, drawing from both Tropical forest, Intertidal zone, Woody plant and Abiotic component. Her research in Crown intersects with topics in Thinning, Clearcutting, Biome and Interception.

Between 2018 and 2021, her most popular works were:

  • The ODD protocol for describing agent-based and other simulation models: A second update to improve clarity, replication, and structural realism (68 citations)
  • Mobile Compensatory Mutations Promote Plasmid Survival. (17 citations)
  • Archetypes of Climate Vulnerability: a Mixed-method Approach Applied in the Peruvian Andes (8 citations)

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

  • Ecology
  • Statistics
  • Ecosystem

Uta Berger mostly deals with Agent-based model, Adaptive capacity, Mangrove, Sensitivity and Biological system. She has included themes like Information retrieval and Table in her Agent-based model study. Her Adaptive capacity study frequently links to other fields, such as Pattern analysis.

The various areas that Uta Berger examines in her Mangrove study include Tree health, Agroforestry, Debris and Vegetation.

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

A standard protocol for describing individual-based and agent-based models

.
Ecological Modelling (2006)

3155 Citations

The ODD protocol: A review and first update

.
Ecological Modelling (2010)

2652 Citations

Pattern-oriented modeling of agent-based complex systems: lessons from ecology

.
Science (2005)

2294 Citations

A World Without Mangroves

.
Science (2007)

1610 Citations

Biocomplexity in Mangrove Ecosystems

Ilka C. Feller;Catherine E. Lovelock;U. Berger;Karen L. McKee.
Annual Review of Marine Science (2010)

388 Citations

Fish communities in central Amazonian white- and blackwater floodplains.

.
Environmental Biology of Fishes (2000)

341 Citations

A new approach to spatially explicit modelling of forest dynamics: spacing, ageing and neighbourhood competition of mangrove trees

.
Ecological Modelling (2000)

301 Citations

The virtual ecologist approach: simulating data and observers

.
Oikos (2010)

282 Citations

The ODD protocol for describing agent-based and other simulation models: A second update to improve clarity, replication, and structural realism

.
Journal of Artificial Societies and Social Simulation (2020)

251 Citations

Competition among plants: Concepts, individual-based modelling approaches, and a proposal for a future research strategy

.
Perspectives in Plant Ecology Evolution and Systematics (2008)

226 Citations

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Best Scientists Citing Uta Berger

Volker Grimm

Volker Grimm

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Florian Jeltsch

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University of Minnesota

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Vrije Universiteit Brussel

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Leibniz Association

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Helmholtz Centre for Environmental Research

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University of Queensland

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University of Reading

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University of Hong Kong

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Aarhus University

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Donald L. DeAngelis

Donald L. DeAngelis

United States Geological Survey

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Rupert Seidl

Rupert Seidl

Technical University of Munich

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George L. W. Perry

George L. W. Perry

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