Inge Uljee

1.4k total citations
35 papers, 1.0k citations indexed

About

Inge Uljee is a scholar working on Global and Planetary Change, Ecology and Transportation. According to data from OpenAlex, Inge Uljee has authored 35 papers receiving a total of 1.0k indexed citations (citations by other indexed papers that have themselves been cited), including 24 papers in Global and Planetary Change, 7 papers in Ecology and 7 papers in Transportation. Recurrent topics in Inge Uljee's work include Land Use and Ecosystem Services (24 papers), Remote Sensing in Agriculture (6 papers) and Urban Transport and Accessibility (5 papers). Inge Uljee is often cited by papers focused on Land Use and Ecosystem Services (24 papers), Remote Sensing in Agriculture (6 papers) and Urban Transport and Accessibility (5 papers). Inge Uljee collaborates with scholars based in Belgium, Netherlands and Canada. Inge Uljee's co-authors include Guy Engelen, Roger White, Alex Hagen‐Zanker, Frank Canters, Carolien Beckx, Lien Poelmans, Steven Broekx, Tim Van de Voorde, Johannes van der Kwast and Geert Wets and has published in prestigious journals such as SHILAP Revista de lepidopterología, The Science of The Total Environment and Environmental Pollution.

In The Last Decade

Inge Uljee

33 papers receiving 939 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Inge Uljee Belgium 13 773 283 170 143 132 35 1.0k
Marjo Kasanko Italy 5 914 1.2× 315 1.1× 146 0.9× 158 1.1× 93 0.7× 11 1.1k
Inés Santé Spain 16 1.1k 1.4× 405 1.4× 164 1.0× 147 1.0× 159 1.2× 33 1.4k
Niall McCormick Italy 8 1.2k 1.6× 366 1.3× 235 1.4× 142 1.0× 122 0.9× 16 1.6k
Ahmed Mustafà Belgium 20 804 1.0× 295 1.0× 225 1.3× 154 1.1× 84 0.6× 66 1.2k
David Miranda Spain 18 892 1.2× 303 1.1× 128 0.8× 108 0.8× 231 1.8× 45 1.4k
Alex Hagen‐Zanker United Kingdom 20 1.0k 1.3× 205 0.7× 201 1.2× 194 1.4× 391 3.0× 42 1.7k
Maher Milad Aburas Malaysia 11 646 0.8× 142 0.5× 162 1.0× 53 0.4× 205 1.6× 15 833
Noah Goldstein United States 6 1.4k 1.9× 263 0.9× 390 2.3× 106 0.7× 358 2.7× 12 1.6k
Jinggang Li China 13 505 0.7× 155 0.5× 97 0.6× 79 0.6× 102 0.8× 28 785
Ronghui Tan China 16 650 0.8× 145 0.5× 148 0.9× 204 1.4× 103 0.8× 29 907

Countries citing papers authored by Inge Uljee

Since Specialization
Citations

This map shows the geographic impact of Inge Uljee'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 Inge Uljee with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Inge Uljee more than expected).

Fields of papers citing papers by Inge Uljee

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Inge Uljee. 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 Inge Uljee. The network helps show where Inge Uljee may publish in the future.

Co-authorship network of co-authors of Inge Uljee

This figure shows the co-authorship network connecting the top 25 collaborators of Inge Uljee. A scholar is included among the top collaborators of Inge Uljee 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 Inge Uljee. Inge Uljee is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Gobin, Anne & Inge Uljee. (2025). European Green Deal Strategies for Agriculture in Dynamic Urbanised Landscapes. Land. 14(2). 424–424. 3 indexed citations
2.
Vercauteren, Maaike, et al.. (2023). Assessment of road run-off and domestic wastewater contribution to microplastic pollution in a densely populated area (Flanders, Belgium). Environmental Pollution. 333. 122090–122090. 19 indexed citations
3.
Landuyt, Dries, et al.. (2016). The importance of uncertainties in scenario analyses – A study on future ecosystem service delivery in Flanders. The Science of The Total Environment. 553. 504–518. 43 indexed citations
4.
White, Roger, et al.. (2016). Semi-automated calibration of an activity-based CA model. 12–17. 1 indexed citations
5.
Stéphenne, Nathalie, et al.. (2016). From Regional LULC Model to Urban Population Density Simulation in Wallonia. Eurographics. 1 indexed citations
6.
White, Roger, et al.. (2015). A travel time-based variable grid approach for an activity-based cellular automata model. International Journal of Geographical Information Systems. 29(10). 1757–1781. 11 indexed citations
7.
Voorde, Tim Van de, Johannes van der Kwast, Lien Poelmans, et al.. (2015). Projecting alternative urban growth patterns: The development and application of a remote sensing assisted calibration framework for the Greater Dublin Area. Ecological Indicators. 60. 1056–1069. 20 indexed citations
8.
White, Roger, Guy Engelen, & Inge Uljee. (2015). Modeling Cities and Regions as Complex Systems. The MIT Press eBooks. 47 indexed citations
9.
White, Roger, et al.. (2012). Development of an Activity-based Cellular Automata Land-use Model: the case of Flanders, Belgium. White Rose Research Online (University of Leeds, The University of Sheffield, University of York). 2000–2007. 3 indexed citations
10.
Voorde, Tim Van de, Johannes van der Kwast, Frank Canters, et al.. (2012). A Remote Sensing Based Calibration Framework for the MOLAND Urban Growth Model of Dublin. International Journal of Agricultural and Environmental Information Systems. 3(2). 1–21. 5 indexed citations
11.
Kwast, Johannes van der, Tim Van de Voorde, Kor de Jong, et al.. (2012). Uncertainty analysis and data-assimilation of remote sensing data for the calibration of cellular automata based land-use models. ScholarsArchive (Brigham Young University). 997–1004. 4 indexed citations
12.
Marceau, Danielle J., Itzhak Benenson, Ian D. Bishop, et al.. (2011). Advanced Geosimulation Models. 62(2). 525–535. 2 indexed citations
13.
Kwast, Johannes van der, Tim Van de Voorde, Frank Canters, et al.. (2011). Inferring urban land use using the optimised spatial reclassification kernel. Environmental Modelling & Software. 26(11). 1279–1288. 18 indexed citations
14.
Voorde, Tim Van de, Johannes van der Kwast, Inge Uljee, Guy Engelen, & Frank Canters. (2010). Improving the calibration of the MOLAND urban growth model with land-use information derived from a time-series of medium resolution remote sensing data. VUBIR (Vrije Universiteit Brussel). 89–104. 1 indexed citations
15.
Gobin, Anne, Inge Uljee, Guy Engelen, et al.. (2009). Landgebruik in Vlaanderen: wetenschappelijk rapport - MIRA 2009 en NARA 2009. 2 indexed citations
16.
Beckx, Carolien, Luc Int Panis, Inge Uljee, et al.. (2009). Disaggregation of nation-wide dynamic population exposure estimates in The Netherlands: Applications of activity-based transport models. Atmospheric Environment. 43(34). 5454–5462. 47 indexed citations
17.
Kwast, Johannes van der, Inge Uljee, Guy Engelen, et al.. (2009). Using remote sensing derived spatial metrics for the calibration of land-use change models. Joint Research Centre (European Commission). 30. 1–9. 12 indexed citations
18.
Engelen, Guy, et al.. (2001). De LeefOmgevingsVerkenner. Technische Documentatie. 6 indexed citations
19.
White, Roger, Guy Engelen, & Inge Uljee. (1997). The Use of Constrained Cellular Automata for High-Resolution Modelling of Urban Land-Use Dynamics. Environment and Planning B Planning and Design. 24(3). 323–343. 424 indexed citations
20.
Engelen, Guy, et al.. (1995). Using cellular automata for integrated modelling of socio-environmental systems. Environmental Monitoring and Assessment. 34(2). 203–214. 110 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.

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