Thomas Berger

General Agricultural and Biological Sciences · with Schreinemachers · 2001–2017

A researcher in the Science corpus: 10 papers; trusts 23 researchers and is trusted by 32 researchers here, as inferred from the citation graph.

Subfields

Whom Thomas Berger trusts overall

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

  1. Robin B. Matthews
  2. Kathrin Happe
  3. Pepijn Schreinemachers
  4. Stein T. Holden
  5. Michael W. Browne
  6. Jeffrey M. Wooldridge
  7. John Pender
  8. B. Shiferaw
  9. Keith Beven
  10. Alfons Balmann

Who trusts Thomas Berger overall

  1. Pepijn Schreinemachers
  2. Elena G. Irwin
  3. David J. Maddison
  4. Christian Troost
  5. William Rand
  6. Dawn Cassandra Parker
  7. Dimitris Kremmydas
  8. T. Wossen
  9. Robert E Kopp
  10. Roland T. Rust

Papers from Thomas Berger's perspective

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

  1. Multi-Agent Systems for the Simulation of Land-Use and Land-Cover Change: A Review
  2. Research, part of a Special Feature on Empirical based agent-based modeling Agent-based Analysis of Agricultural Policies: an Illustration of the Agricultural Policy Simulator AgriPoliS, its…
  3. Role-playing games for opening the black box of multi-agent systems: method and lessons of its application to Senegal River Valley irrigated systems (Journal of Artificial Societies and Social Simulation)
  4. Equifinality, data assimilation, and uncertainty estimation in mechanistic modelling of complex environmental systems using the GLUE methodology
  5. Does structure matter? The impact of switching the agricultural policy regime on farm structures
  6. Determinants of nutrient balances in a maize farming system in eastern Uganda
  7. Technology Adoption in the Presence of Constraints: the Case of Fertilizer Demand in Ethiopia
  8. An overview of APSIM, a model designed for farming systems simulation
  9. Progress in integrated assessment and modelling (Environmental Modelling & Software)
  10. An overview of model integration for environmental applications--components, frameworks and semantics (Environmental Modelling & Software)

Their papers