Stijn Van Hoey

501 total citations
23 papers, 361 citations indexed

About

Stijn Van Hoey is a scholar working on Water Science and Technology, Global and Planetary Change and Environmental Engineering. According to data from OpenAlex, Stijn Van Hoey has authored 23 papers receiving a total of 361 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Water Science and Technology, 9 papers in Global and Planetary Change and 7 papers in Environmental Engineering. Recurrent topics in Stijn Van Hoey's work include Hydrology and Watershed Management Studies (8 papers), Flood Risk Assessment and Management (5 papers) and Groundwater flow and contamination studies (5 papers). Stijn Van Hoey is often cited by papers focused on Hydrology and Watershed Management Studies (8 papers), Flood Risk Assessment and Management (5 papers) and Groundwater flow and contamination studies (5 papers). Stijn Van Hoey collaborates with scholars based in Belgium, Netherlands and United Kingdom. Stijn Van Hoey's co-authors include Ingmar Nopens, Youri Amerlinck, Usman Rehman, Thomas Maere, Marina Arnaldos, Wouter Naessens, Piet Seuntjens, Han Vervaeren, Stijn Van Hulle and Bjorge Decostere and has published in prestigious journals such as Water Research, Water Resources Research and Chemical Engineering Journal.

In The Last Decade

Stijn Van Hoey

21 papers receiving 352 citations

Peers

Stijn Van Hoey

ECOLO

POLLU

GPC

WST

Timothy J. Pfeiffer United States

Brian J. Vinci United States

Soohyun Yang Germany

Philippe Chauvelon France

Wanghai Tao China

Binghui He China

Wanjun Zhang China

Huijie Xiao China

Samuel I. Haruna United States

Chen-Lin Soo Malaysia

Timothy J. Pfeiffer United States

Stijn Van Hoey

68 ×0.7

ECOLO

72 ×0.8

POLLU

88 ×1.1

GPC

128 ×1.7

WST

23 ×0.3

Citations per year, relative to Stijn Van Hoey Stijn Van Hoey (= 1×) peers Timothy J. Pfeiffer

Countries citing papers authored by Stijn Van Hoey

Since Specialization

Citations

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

Fields of papers citing papers by Stijn Van Hoey

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Stijn Van Hoey. 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 Stijn Van Hoey. The network helps show where Stijn Van Hoey may publish in the future.

Co-authorship network of co-authors of Stijn Van Hoey

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

All Works

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20 of 20 papers shown

Desmet, Peter, Judy Shamoun‐Baranes, Bart Kranstauber, et al.. (2025). Biological data derived from European weather radars. Scientific Data. 12(1). 361–361.

Pagán, Brianna R., Bart Kuijpers, Stijn Van Hoey, et al.. (2021). A database system for querying of river networks: facilitating monitoring and prediction applications. Water Science & Technology Water Supply. 22(3). 2832–2846. 2 indexed citations

Maes, Dirk, Peter Desmet, Stijn Van Hoey, et al.. (2019). A database of threat statuses and life-history traits of Red List species in Flanders (northern Belgium). Biodiversity Data Journal. 7. e34089–e34089. 6 indexed citations

Dokter, Adriaan M., Peter Desmet, Jurriaan H. Spaaks, et al.. (2018). bioRad: biological analysis and visualization of weather radar data. Ecography. 42(5). 852–860. 79 indexed citations

Stock, Michiel, et al.. (2018). Automated recognition of people and identification of animal species in camera trap images. 1 indexed citations

Hoey, Stijn Van, et al.. (2017). Consistency assessment of rating curve data in various locationsusing Bidirectional Reach (BReach). 1 indexed citations

Verhelst, Pieterjan, David Buysse, Jan Reubens, et al.. (2017). Downstream migration of European eel (Anguilla anguilla L.) in an anthropogenically regulated freshwater system: Implications for management. Fisheries Research. 199. 252–262. 37 indexed citations

Hoey, Stijn Van, et al.. (2017). Consistency assessment of rating curve data in various locations using Bidirectional Reach (BReach). Hydrology and earth system sciences. 21(10). 5315–5337. 1 indexed citations

Verhelst, Pieterjan, Jan Reubens, Ine Pauwels, et al.. (2017). Movement behaviour of large female yellow European eel (Anguilla anguilla L.) in a freshwater polder area. Ecology Of Freshwater Fish. 27(1). 471–480. 27 indexed citations

10.

Rezaei, Meisam, Piet Seuntjens, Ingeborg Joris, et al.. (2016). Sensitivity of water stress in a two-layered sandy grassland soil to variations in groundwater depth and soil hydraulic parameters. Hydrology and earth system sciences. 20(1). 487–503. 31 indexed citations

11.

Amerlinck, Youri, et al.. (2016). Image analysis procedure to derive bubble size distributions for better understanding of the oxygen transfer mechanism. Ghent University Academic Bibliography (Ghent University). 2 indexed citations

12.

Hoey, Stijn Van, et al.. (2016). Identification of temporal consistency in rating curve data: Bidirectional Reach (BReach). Water Resources Research. 52(8). 6277–6296. 5 indexed citations

13.

Arnaldos, Marina, Youri Amerlinck, Usman Rehman, et al.. (2014). From the affinity constant to the half-saturation index: Understanding conventional modeling concepts in novel wastewater treatment processes. Water Research. 70. 458–470. 85 indexed citations

14.

Hoey, Stijn Van, Ingmar Nopens, Johannes van der Kwast, & Piet Seuntjens. (2014). Dynamic Identifiability Analysis-Based Model Structure Evaluation Considering Rating Curve Uncertainty. Journal of Hydrologic Engineering. 20(5). 5 indexed citations

15.

Hoey, Stijn Van, Piet Seuntjens, Johannes van der Kwast, & Ingmar Nopens. (2014). A qualitative model structure sensitivity analysis method to support model selection. Journal of Hydrology. 519. 3426–3435. 14 indexed citations

16.

Hoey, Stijn Van, Johannes van der Kwast, Ingmar Nopens, & Piet Seuntjens. (2013). Python package for model STructure ANalysis (pySTAN). ScholarsArchive (Brigham Young University). 15(1). 3. 1 indexed citations

17.

Mortier, Séverine, Stijn Van Hoey, Krist V. Gernaey, et al.. (2013). A GLUE uncertainty analysis of a drying model of pharmaceutical granules. European Journal of Pharmaceutics and Biopharmaceutics. 85(3). 984–995. 7 indexed citations

18.

Hoey, Stijn Van, et al.. (2012). Influence of uncertainty analysis methods and subjective choices on prediction uncertainty for a respriometric case. Ghent University Academic Bibliography (Ghent University). 1 indexed citations

19.

Hoey, Stijn Van, Piet Seuntjens, Johannes van der Kwast, & Ingmar Nopens. (2012). Incorporation of rating curve uncertainty in dynamic identifiability analysis and model structure evaluation. 1 indexed citations

20.

Tang, Xiangyu, et al.. (2010). Evidence of subsurface flow through macropores in agricultural soils: field investigations and modeling. EGU General Assembly Conference Abstracts. 15315. 1 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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