Name
Affiliation
Papers
PEER-OLAF SIEBERS
Intelligent Modelling & Analysis Group, School of Computer Science, University of Nottingham
51
Collaborators
Citations 
PageRank 
72
186
27.03
Referers 
Referees 
References 
426
258
186
Search Limit
100426
Title
Citations
PageRank
Year
An Innovative Approach to Multi-Method Integrated Assessment Modelling of Global Climate Change.00.342020
Using Agent-Based Modelling for Investigating Modal Shift: The Case of University Travel00.342020
Agent-Based Simulation Modelling for Reflecting on Consequences of Digital Mental Health.00.342019
Identifying Heavy Goods Vehicle Driving Styles in the United Kingdom00.342019
ABOOMS: Overcoming the Hurdles of Continuous-Time Public Goods Games with a Simulation-Based Approach.00.342019
Distributed building energy simulation with the HLA00.342019
Pure Functional Epidemics: An Agent-Based Approach00.342018
A smart phone based multi-floor indoor positioning system for occupancy detection00.342018
An Agent-Based Model for False Belief Tasks: Belief Representation Systematic Approach (BRSA).00.342018
Position Paper: The Usefulness of Data-driven, Intelligent Agent-Based Modelling for Transport Infrastructure Management00.342018
Using simulation to incorporate dynamic criteria into multiple criteria decision-making.00.342018
Simulating user learning in authoritative technology adoption: An agent based model for council-led smart meter deployment planning in the UK.10.402016
Juxtaposition Of System Dynamics And Agent-Based Simulation For A Case Study In Immunosenescence00.342016
Modelling Office Energy Consumption: An Agent Based Approach00.342016
Using simulation to assist recruitment in seasonally dependant contact centers.00.342015
Engineering Agent-Based Social Simulations: An Introduction00.342015
Simulating Airline Marketing Strategy Using System Dynamics Modelling.00.342015
Comparing Stochastic Differential Equations And Agent-Based Modelling And Simulation For Early-Stage Cancer60.582014
Opening pandora's box: Some insight into the inner workings of an Agent-Based Simulation environment00.342014
Modelling Electrical Car Diffusion Based on Agents.00.342014
A Beginners Guide to Systems Simulation in Immunology.00.342013
Investigating mathematical models of immuno-interactions with early-stage cancer under an agent-based modelling perspective.80.582013
Evaluating Different Cost-Benefit Analysis Methods for Port Security Operations00.342013
Systems dynamics or agent-based modelling for immune simulation?30.542013
The use of agent-based simulation to discover extreme cases in immune-interactions with early-stage cancer scenarios00.342013
Towards modelling cost and risks of infrequent events in the cargo screening process.00.342013
Scenario Analysis, Decision Trees and Simulation for Cost Benefit Analysis of the Cargo Screening Process.00.342013
Modelling the Effects of User Learning on Forced Innovation Diffusion.10.412013
A Three-Dimensional Model of Residential Energy Consumer Archetypes for Local Energy Policy Design in the UK.20.502013
Modelling Reactive and Proactive Behaviour in Simulation: A Case Study in a University Organisation.10.372013
Comparison of crisp systems and fuzzy systems in agent-based simulation: A case study of soccer penalties00.342013
Modelling and Analysing Cargo Screening Processes: A Project Outline00.342013
A beginner's guide to systems simulation in immunology00.342012
A First Approach on Modelling Staff Proactiveness in Retail Simulation Models90.772011
Comparing simulation output accuracy of discrete event and agent based models: a quantitative approach50.572010
Towards the Development of a Simulator for Investigating the Impact of People Management Practices on Retail Performance80.762010
Investigating Output Accuracy for a Discrete Event Simulation Model and an Agent Based Simulation Model00.342010
Modelling and simulating retail management practices: a first approach30.482010
Simulating Customer Experience and Word-Of-Mouth in Retail - A Case Study30.442010
Multi-Agent Simulation and Management Practices00.342010
Discrete-event simulation is dead, long live agent-based simulation!713.522010
Modelling Reactive and Proactive Behaviour in Simulation30.412010
Development of a Cargo Screening Process Simulator: A First Approach00.342010
Understanding Retail Productivity by Simulating Management Practise20.452008
An Agent-Based Simulation of In-Store Customer Experiences30.612008
The Role of Management Practices in Closing the Productivity Gap50.842008
Using Intelligent Agents to understand organisational behaviour00.342008
Introduction to Multi-Agent Simulation80.682008
Using intelligent agents to understand management practices and retail productivity131.182007
A multi-agent simulation of retail management practices91.012007
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