Kor de Jong

1.8k total citations · 1 hit paper
33 papers, 1.2k citations indexed

About

Kor de Jong is a scholar working on Water Science and Technology, Global and Planetary Change and Aerospace Engineering. According to data from OpenAlex, Kor de Jong has authored 33 papers receiving a total of 1.2k indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Water Science and Technology, 10 papers in Global and Planetary Change and 6 papers in Aerospace Engineering. Recurrent topics in Kor de Jong's work include Hydrology and Watershed Management Studies (11 papers), GNSS positioning and interference (6 papers) and Land Use and Ecosystem Services (5 papers). Kor de Jong is often cited by papers focused on Hydrology and Watershed Management Studies (11 papers), GNSS positioning and interference (6 papers) and Land Use and Ecosystem Services (5 papers). Kor de Jong collaborates with scholars based in Netherlands, Belgium and United States. Kor de Jong's co-authors include Derek Karssenberg, Oliver Schmitz, Marc F. P. Bierkens, Ton C.M. de Nijs, Jan Ritsema van Eck, Peter H. Verburg, Peter Salamon, Yoshihide Wada, Rens van Beek and Joyce Bosmans and has published in prestigious journals such as SHILAP Revista de lepidopterología, Hydrological Processes and Environmental Modelling & Software.

In The Last Decade

Kor de Jong

32 papers receiving 1.1k citations

Hit Papers

PCR-GLOBWB 2: a 5 arcmin global hydrological and water re... 2018 2026 2020 2023 2018 100 200 300

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Kor de Jong Netherlands 13 637 467 191 184 136 33 1.2k
E. James Nelson United States 20 673 1.1× 791 1.7× 380 2.0× 188 1.0× 148 1.1× 90 1.2k
Haibo Yang China 20 1.0k 1.6× 617 1.3× 275 1.4× 185 1.0× 144 1.1× 63 1.6k
Peng Yang China 25 987 1.5× 521 1.1× 238 1.2× 297 1.6× 198 1.5× 79 1.8k
S. K. Srivastav India 20 680 1.1× 316 0.7× 626 3.3× 253 1.4× 241 1.8× 73 1.4k
Ghaleb Faour Lebanon 23 624 1.0× 240 0.5× 343 1.8× 344 1.9× 332 2.4× 91 1.4k
Ismail Elkhrachy Saudi Arabia 18 590 0.9× 374 0.8× 440 2.3× 126 0.7× 68 0.5× 44 1.1k
Shanlong Lu China 15 583 0.9× 345 0.7× 259 1.4× 181 1.0× 168 1.2× 62 930
Qiong Wu China 22 699 1.1× 187 0.4× 459 2.4× 349 1.9× 341 2.5× 95 1.6k
Laurence Hawker United Kingdom 12 590 0.9× 340 0.7× 311 1.6× 349 1.9× 165 1.2× 19 1.1k

Countries citing papers authored by Kor de Jong

Since Specialization
Citations

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

Fields of papers citing papers by Kor de Jong

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Kor de Jong. 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 Kor de Jong. The network helps show where Kor de Jong may publish in the future.

Co-authorship network of co-authors of Kor de Jong

This figure shows the co-authorship network connecting the top 25 collaborators of Kor de Jong. A scholar is included among the top collaborators of Kor de Jong 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 Kor de Jong. Kor de Jong 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.
Jong, Kor de, Debabrata Panja, Derek Karssenberg, & Marc van Kreveld. (2022). Scalability and composability of flow accumulation algorithms based on asynchronous many-tasks. Computers & Geosciences. 162. 105083–105083. 6 indexed citations
2.
Sutanudjaja, Edwin H., Rens van Beek, Niko Wanders, et al.. (2018). PCR-GLOBWB 2: a 5 arcmin global hydrological and water resources model. Geoscientific model development. 11(6). 2429–2453. 384 indexed citations breakdown →
3.
Jong, Kor de, et al.. (2017). Design and demonstration of a data model to integrate agent-based and field-based modelling. Environmental Modelling & Software. 89. 172–189. 6 indexed citations
4.
Sutanudjaja, Edwin H., Niels Drost, Rolf Hut, et al.. (2014). Assimilating data from remote sensing into a high-resolution global hydrological model. Research Repository (Delft University of Technology). 10714. 1 indexed citations
5.
Jong, Kor de & P. J. G. Teunissen. (2014). Minimal Detectable Biases of GPS observations for a weighted ionosphere. Earth Planets and Space. 52(10). 857–862. 2 indexed citations
6.
Jong, Kor de, et al.. (2013). Interchangeable Integration of GPS and GLONASS by Using a Common System Clock in PPP. 1198–1206. 13 indexed citations
7.
Edwards, SJ, et al.. (2013). Time Correlation in GNSS Precise Point Positioning. 1207–1214. 1 indexed citations
8.
Schmitz, Oliver, Derek Karssenberg, Kor de Jong, Jean‐Luc de Kok, & S.M. de Jong. (2013). Map algebra and model algebra for integrated model building. Environmental Modelling & Software. 48. 113–128. 21 indexed citations
9.
Karssenberg, Derek, Oliver Schmitz, & Kor de Jong. (2012). Stochastic spatio-temporal modelling with PCRaster Python. Data Archiving and Networked Services (DANS).
10.
Lawrence, Deborah, L. Phil Graham, Johan Andréasson, et al.. (2012). Climate change impacts and uncertainties in flood risk management: Examples from the North Sea Region. 6 indexed citations
11.
Jong, Kor de, et al.. (2009). G2 - The First Real-Time GPS and GLONASS Precise Orbit and Clock Service. 1885–1891. 27 indexed citations
12.
Karssenberg, Derek, Oliver Schmitz, Peter Salamon, Kor de Jong, & Marc F. P. Bierkens. (2009). A software framework for construction of process-based stochastic spatio-temporal models and data assimilation. Environmental Modelling & Software. 25(4). 489–502. 155 indexed citations
13.
Karssenberg, Derek, et al.. (2008). A tool for construction of stochastic spatio-temporal models assimilated with observational data. Utrecht University Repository (Utrecht University). 2 indexed citations
14.
Pebesma, Edzer, Kor de Jong, & David Briggs. (2007). Interactive visualization of uncertain spatial and spatio‐temporal data under different scenarios: an air quality example. International Journal of Geographical Information Systems. 21(5). 515–527. 44 indexed citations
15.
Karssenberg, Derek, Kor de Jong, & Johannes van der Kwast. (2007). Modelling landscape dynamics with Python. International Journal of Geographical Information Systems. 21(5). 483–495. 46 indexed citations
16.
Karssenberg, Derek, et al.. (2006). Dynamic visualisation of spatial and spatio-temporal probability density functions. Utrecht University Repository (Utrecht University). 1 indexed citations
17.
Karssenberg, Derek & Kor de Jong. (2006). Towards improved solution schemes for Monte Carlo simulation in environmental modeling languages. Utrecht University Repository (Utrecht University). 4 indexed citations
18.
Karssenberg, Derek & Kor de Jong. (2005). Dynamic environmental modelling in GIS: 2. Modelling error propagation. International Journal of Geographical Information Systems. 19(6). 623–637. 34 indexed citations
19.
Verburg, Peter H., et al.. (2003). A method to analyse neighbourhood characteristics of land use patterns. Computers Environment and Urban Systems. 28(6). 667–690. 250 indexed citations
20.
Jong, Kor de, et al.. (2000). Integrity Monitoring of IGEX-98 Data, Part I: Availability. GPS Solutions. 3(4). 10–23. 2 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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