Steven F. Railsback

Nature and Landscape Conservation · 2001–2020

A researcher in the Science corpus: 15 papers; trusts 13 researchers and is trusted by 22 researchers here, as inferred from the citation graph.

Subfields

• Nature and Landscape Conservation — 49 citations into it; #890 of 6,941 by trust here, #1,339 by citations
• Global and Planetary Change — 36 citations into it; #1,379 of 10,225 by trust here, #1,885 by citations
• Ecology — 28 citations into it; #1,201 of 10,717 by trust here, #4,354 by citations
• Ecological Modeling — 24 citations into it; #1,392 of 2,530 by trust here, #1,008 by citations
• Ecology, Evolution, Behavior and Systematics — 15 citations into it; #5,589 of 6,648 by trust here, #2,779 by citations

Whom Steven F. Railsback trusts overall

Their strongest outbound trust, strongest first, inferred from their citations.

1. G. Huse
2. W. Murray
3. Marc Mangel
4. B. Harvey
5. Volker Grimm
6. Makoto Matsumoto
7. Paul Beier
8. Arthur L. Samuel
9. K. Rose
10. Daniel Ayllón

Who trusts Steven F. Railsback overall

1. J. Rosenfeld
2. Volker Grimm
3. T. Wiegand
4. Daniel Ayllón
5. William Rand
6. Uta Berger
7. Marc Mangel
8. T. Leiter
9. B. Harvey
10. Matthew J. Hoffmann

Papers from Steven F. Railsback's perspective

Ordered by how strongly the researchers Steven F. Railsback trusts endorse each paper. Same corpus, a different order for every researcher.

1. Model Selection and Inference: A Practical Information-Theoretic Approach
2. Concepts from complex adaptive systems as a framework for individual-based modelling
3. The intrinsic mean time to extinction: a unifying approach to analysing persistence and viability of populations
4. Individual-based modeling of ecological and evolutionary processes
5. Individual‐based Modeling and Ecology
6. Multi-Agent Systems for the Simulation of Land-Use and Land-Cover Change: A Review
7. Theory of Modeling and Simulation: Integrating Discrete Event and Continuous Complex Dynamic Systems
8. Agent-Based Computational Economics: Growing Economies From the Bottom Up (Artificial Life)
9. Seasonal and Diel Changes in Behaviour, Microhabitat use and Preferences by Young Pool-dwelling Atlantic Salmon, Salmo salar, and Brown Trout, Salmo trutta (Environmental Biology of Fishes)
10. Brownian Agents and Active Particles: Collective Dynamics in the Natural and Social Sciences

Their papers

• Pattern-Oriented Modeling of Agent-Based Complex Systems: Lessons from Ecology (2005) — 2,254 citations
• The ODD protocol: A review and first update (2010) — 2,583 citations
• Concepts from complex adaptive systems as a framework for individual-based modelling (2001) — 249 citations
• Agent-based Simulation Platforms: Review and Development Recommendations (2006) — 812 citations
• The ODD Protocol for Describing Agent-Based and Other Simulation Models: A Second Update to Improve Clarity, Replication, and Structural Realism (2020) — 765 citations
• Next-Generation Individual-Based Models Integrate Biodiversity and Ecosystems: Yes We Can, and Yes We Must (2017) — 104 citations
• Why It Is Time to Put PHABSIM Out to Pasture (2016) — 96 citations
• InSTREAM-Gen: Modelling eco-evolutionary dynamics of trout populations under anthropogenic environmental change (2016) — 85 citations
• Towards better modelling and decision support: Documenting model development, testing, and analysis using TRACE (2014) — 290 citations
• Agent-Based and Individual-Based Modeling: A Practical Introduction (2011) — 364 citations
• A standard protocol for describing individual-based and agent-based models (2006) — 3,137 citations
• Tests of Theory for Diel Variation in Salmonid Feeding Activity and Habitat Use (2005) — 108 citations
• WHAT CAN HABITAT PREFERENCE MODELS TELL US? TESTS USING A VIRTUAL TROUT POPULATION (2003) — 140 citations
• ANALYSIS OF HABITAT‐SELECTION RULES USING ANINDIVIDUAL‐BASED MODEL (2002) — 290 citations
• Modelling changes in migration pattern of herring: collective behaviour and numerical domination (2002) — 140 citations