What is he best known for?
The fields of study he is best known for:
- Ecology
- Artificial intelligence
- Psychology
Management science, Environmental resource management, Participatory modeling, Knowledge management and Process are his primary areas of study.
His work deals with themes such as Stability and Visualization, which intersect with Management science.
The Environmental resource management study combines topics in areas such as Watershed, Land use, Natural capital, Ecosystem services and Flexibility.
His work carried out in the field of Participatory modeling brings together such families of science as Collaborative learning, Stakeholder, Stakeholder analysis and Stakeholder engagement.
His studies deal with areas such as Watershed management and Integrated water resources management as well as Stakeholder.
His Knowledge management study combines topics in areas such as Position paper and End user.
His most cited work include:
- Position paper: Characterising performance of environmental models (871 citations)
- Position Paper: Modelling with stakeholders (777 citations)
- Selecting among five common modelling approaches for integrated environmental assessment and management (444 citations)
What are the main themes of his work throughout his whole career to date?
Alexey Voinov focuses on Environmental resource management, Process, Management science, Software and Participatory modeling.
His study on Environmental resource management also encompasses disciplines like
- Land use together with Hydrology and Watershed,
- Ecosystem model, which have a strong connection to Simulation modeling.
His Process study integrates concerns from other disciplines, such as Citizen journalism and Data science.
His Management science research focuses on Sustainability and how it connects with Environmental economics.
His Software research is multidisciplinary, relying on both Decision support system and Software engineering.
He has included themes like Natural resource, Stakeholder, Stakeholder engagement and Knowledge management in his Participatory modeling study.
He most often published in these fields:
- Environmental resource management (15.09%)
- Process (15.52%)
- Management science (15.09%)
What were the highlights of his more recent work (between 2017-2021)?
- Participatory modeling (12.50%)
- Process (15.52%)
- Management science (15.09%)
In recent papers he was focusing on the following fields of study:
His scientific interests lie mostly in Participatory modeling, Process, Management science, Data science and Context.
The various areas that Alexey Voinov examines in his Participatory modeling study include Adaptive management, Ecology and Knowledge management.
His Adaptive management research includes elements of Stakeholder and Knowledge transfer.
His work carried out in the field of Process brings together such families of science as Participatory planning and Conceptualization.
His research integrates issues of Sociotechnical system, Collaborative learning, Analytic hierarchy process and Stakeholder analysis in his study of Management science.
His studies deal with areas such as Systems design, Use case, Position paper and Field as well as Data science.
Between 2017 and 2021, his most popular works were:
- Tools and methods in participatory modeling: Selecting the right tool for the job (81 citations)
- Tools and methods in participatory modeling: Selecting the right tool for the job (81 citations)
- The Value of Ecosystem Services from Giant Panda Reserves (60 citations)
In his most recent research, the most cited papers focused on:
- Ecology
- Artificial intelligence
- Psychology
Alexey Voinov mostly deals with Participatory modeling, Process, Natural resource economics, Conceptual framework and Efficient energy use.
The study incorporates disciplines such as Analytic hierarchy process and Multi-agent system in addition to Participatory modeling.
The Process study combines topics in areas such as Adaptive management, Geospatial predictive modeling and Management science.
His Management science research is multidisciplinary, incorporating perspectives in Collaborative learning, Stakeholder analysis and Participatory planning.
He interconnects Biodiversity, Flagship species, Endangered species and Natural capital, Ecosystem services in the investigation of issues within Natural resource economics.
His Efficient energy use research includes themes of Social dynamics, Low-carbon economy, Greenhouse gas and Computational sociology.
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