This map shows the geographic impact of H. Schölten's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by H. Schölten with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites H. Schölten more than expected).
This network shows the impact of papers produced by H. Schölten. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by H. Schölten. The network helps show where H. Schölten may publish in the future.
Co-authorship network of co-authors of H. Schölten
This figure shows the co-authorship network connecting the top 25 collaborators of H. Schölten.
A scholar is included among the top collaborators of H. Schölten based on the total number of
citations received by their joint publications. Widths of edges
represent the number of papers authors have co-authored together.
Node borders
signify the number of papers an author published with H. Schölten. H. Schölten is excluded from
the visualization to improve readability, since they are connected to all nodes in the network.
Schölten, H. & Jens Christian Refsgaard. (2010). Quality assurance in model-based water management: Better Modelling Practices. Socio-Environmental Systems Modeling. 1–91.2 indexed citations
3.
Kassahun, Ayalew, Ioannis N. Athanasiadis, Andrea Emilio Rizzoli, et al.. (2010). Towards a service-oriented e-infrastructure for multidisciplinary environmental research. Socio-Environmental Systems Modeling.3 indexed citations
4.
Kassahun, Ayalew & H. Schölten. (2006). A knowledge base system for multidisciplinary model-based water management, Summit on Environmentel Modelling and Software, 3rd Biennial meeting of the International Environmental Modelling and Software Society, Burlington, Vermont, USA, July 9-12, 2006. Data Archiving and Networked Services (DANS).2 indexed citations
5.
Old, Gareth, J. C. Packman, & H. Schölten. (2005). Supporting the European Water Framework Directive: the HarmoniQuA Modelling Support Tool (MoST). Data Archiving and Networked Services (DANS). 2825–2831.1 indexed citations
6.
Old, Gareth, J. C. Packman, & H. Schölten. (2005). Supporting the European Water Framework Directive by enhancing the credibility of modelling studies: the HarmoniQuA Modelling Support Tool (MoST). Congress on Modelling and Simulation. 2825–2831.1 indexed citations
7.
Blind, M., Roger Moore, H. Schölten, et al.. (2005). Current Results of the EC-sponsored Catchment Modelling (CatchMod) Cluster. Socio-Environmental Systems Modeling. 1210–1216.2 indexed citations
8.
Kassahun, Ayalew, et al.. (2005). Support for model based water management with the HarmoniQuA toolbox. Socio-Environmental Systems Modeling. 1282–1287.3 indexed citations
9.
Schölten, H., Ayalew Kassahun, & Jens Christian Refsgaard. (2004). Structuring multidisciplinary knowledge for model-based water management: the HarmoniQuA approach. Socio-Environmental Systems Modeling. 55–59.6 indexed citations
10.
Lammeren, R.J.A. van, et al.. (2004). Using virtual reality as information tool in spatial planning. Socio-Environmental Systems Modeling.6 indexed citations
11.
Schölten, H., et al.. (2001). Improving the quality of model-based decision support: good modelling practice in water management. Socio-Environmental Systems Modeling. 223–230.8 indexed citations
12.
Blind, M., et al.. (2000). Model for Success. Water. 21. 43–45.19 indexed citations
Schölten, H., et al.. (1999). Vloeiend modelleren in het waterbeheer : Handboek Good Modelling Practice. Socio-Environmental Systems Modeling.4 indexed citations
Soetaert, Karline, P.M.J. Herman, & H. Schölten. (1992). MOSES: model of the Scheldt estuary: ecosystem model development under SENECA. Flanders Marine Institute (Flanders Marine Institute).5 indexed citations
Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive
bibliographic database. While OpenAlex provides broad and valuable coverage of the global
research landscape, it—like all bibliographic datasets—has inherent limitations. These include
incomplete records, variations in author disambiguation, differences in journal indexing, and
delays in data updates. As a result, some metrics and network relationships displayed in
Rankless may not fully capture the entirety of a scholar's output or impact.