Wim Gabriëls

1.0k total citations
17 papers, 719 citations indexed

About

Wim Gabriëls is a scholar working on Ecology, Water Science and Technology and Nature and Landscape Conservation. According to data from OpenAlex, Wim Gabriëls has authored 17 papers receiving a total of 719 indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Ecology, 6 papers in Water Science and Technology and 5 papers in Nature and Landscape Conservation. Recurrent topics in Wim Gabriëls's work include Freshwater macroinvertebrate diversity and ecology (14 papers), Aquatic Invertebrate Ecology and Behavior (7 papers) and Fish Ecology and Management Studies (5 papers). Wim Gabriëls is often cited by papers focused on Freshwater macroinvertebrate diversity and ecology (14 papers), Aquatic Invertebrate Ecology and Behavior (7 papers) and Fish Ecology and Management Studies (5 papers). Wim Gabriëls collaborates with scholars based in Belgium, France and Finland. Wim Gabriëls's co-authors include Peter Goethals, Niels De Pauw, Koen Lock, Andy Dedecker, Sovan Lek, Thu‐Huong Thi Hoang, Gert Everaert, Hong Hanh Nguyen, Кęstutis Arbačiauskas and Jürgen Böhmer and has published in prestigious journals such as The Science of The Total Environment, Ecological Modelling and Hydrobiologia.

In The Last Decade

Wim Gabriëls

15 papers receiving 692 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Wim Gabriëls Belgium	8	493	341	196	101	99	17	719
William J. Walley United Kingdom	11	284 0.6×	220 0.6×	123 0.6×	68 0.7×	60 0.6×	31	456
Aingeru Martínez Spain	15	601 1.2×	305 0.9×	150 0.8×	24 0.2×	186 1.9×	41	737
Marta Reyes Switzerland	12	278 0.6×	181 0.5×	109 0.6×	25 0.2×	108 1.1×	27	627
Sylvia Mota de Oliveira Netherlands	14	114 0.2×	143 0.4×	189 1.0×	68 0.7×	45 0.5×	33	833
Conor T. Graham Ireland	14	300 0.6×	167 0.5×	39 0.2×	19 0.2×	34 0.3×	39	522
Meifang Zhao China	12	147 0.3×	184 0.5×	56 0.3×	130 1.3×	9 0.1×	28	558
Marta Szostak Poland	14	281 0.6×	90 0.3×	42 0.2×	288 2.9×	30 0.3×	50	570
Gang Shao United States	11	174 0.4×	134 0.4×	85 0.4×	225 2.2×	49 0.5×	23	433
Vera De Cauwer Namibia	10	116 0.2×	87 0.3×	104 0.5×	55 0.5×	25 0.3×	34	550

Countries citing papers authored by Wim Gabriëls

Since Specialization

Citations

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

Fields of papers citing papers by Wim Gabriëls

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Wim Gabriëls

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

All Works

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17 of 17 papers shown

Lock, Koen, et al.. (2024). Alien macrocrustaceans in freshwater ecosystems in the eastern part of Flanders (Belgium). Belgian journal of zoology. 140(1). 30–39. 1 indexed citations

Vannevel, Rudy, et al.. (2018). The inland water macro-invertebrate occurrences in Flanders, Belgium. ZooKeys. 759(759). 117–136. 4 indexed citations

Poikāne, Sandra, Richard K. Johnson, Leonard Sandin, et al.. (2015). Benthic macroinvertebrates in lake ecological assessment: A review of methods, intercalibration and practical recommendations. The Science of The Total Environment. 543(Pt A). 123–134. 94 indexed citations

Böhmer, Jürgen, et al.. (2014). Water Framework Directive Intercalibration Technical Report: Central Baltic Lake Benthic invertebrate ecological assessment methods. Joint Research Centre (European Commission). 15 indexed citations

Nguyen, Hong Hanh, Gert Everaert, Wim Gabriëls, Thu‐Huong Thi Hoang, & Peter Goethals. (2013). A multimetric macroinvertebrate index for assessing the water quality of the Cau river basin in Vietnam. Limnologica. 45. 16–23. 50 indexed citations

Gabriëls, Wim, Koen Lock, Niels De Pauw, & Peter Goethals. (2009). Multimetric Macroinvertebrate Index Flanders (MMIF) for biological assessment of rivers and lakes in Flanders (Belgium). Limnologica. 40(3). 199–207. 238 indexed citations

Gabriëls, Wim, Peter Goethals, Andy Dedecker, Sovan Lek, & Niels De Pauw. (2007). Analysis of macrobenthic communities in Flanders, Belgium, using a stepwise input variable selection procedure with artificial neural networks. Aquatic Ecology. 41(3). 427–441. 56 indexed citations

Goethals, Peter, Andy Dedecker, Wim Gabriëls, Sovan Lek, & Niels De Pauw. (2007). Applications of artificial neural networks predicting macroinvertebrates in freshwaters. Aquatic Ecology. 41(3). 491–508. 121 indexed citations

Gabriëls, Wim, Peter Goethals, & Niels De Pauw. (2006). Development of a multimetric assessment system based on macroinvertebrates for rivers in Flanders (Belgium) according to the European Water Framework Directive. SIL Proceedings 1922-2010. 29(5). 2279–2282. 6 indexed citations

10.

Goethals, Peter, et al.. (2006). Development of artificial neural network models predicting macroinvertebrate taxa in the river Axios (Northern Greece). Annales de Limnologie - International Journal of Limnology. 42(4). 241–250. 7 indexed citations

11.

Gabriëls, Wim, Peter Goethals, & Niels De Pauw. (2005). Implications of taxonomic modifications and alien species on biological waterquality assessment as exemplified by the Belgian Biotic Index method. Hydrobiologia. 542(1). 137–150. 32 indexed citations

12.

Dedecker, Andy, Peter Goethals, Wim Gabriëls, & Niels De Pauw. (2004). Optimization of Artificial Neural Network (ANN) model design for prediction of macroinvertebrates in the Zwalm river basin (Flanders, Belgium). Ecological Modelling. 174(1-2). 161–173. 89 indexed citations

13.

Adriaenssens, Veronique, et al.. (2002). Development of a decision support system for integrated water management in the Zwalm river basin, Belgium. Ghent University Academic Bibliography (Ghent University).

14.

Dedecker, Andy, Peter Goethals, Wim Gabriëls, & Niels De Pauw. (2002). Optimisation of Artificial Neural Network (ANN) model design for prediction of macroinvertebrate communities in the Zwalm river basin (Flanders, Belgium). ScholarsArchive (Brigham Young University). 4 indexed citations

15.

Gabriëls, Wim, et al.. (2001). Development of short and long-term management options for bergelenput to avoid fish kills caused by algal blooms.. PubMed. 66(1). 63–70. 1 indexed citations

16.

Goethals, Peter, et al.. (2001). Development of river ecosystem models for Flemish watercourses: case studies in the Zwalm river basin.. PubMed. 66(1). 71–86. 1 indexed citations

17.

Gabriëls, Wim, et al.. (2000). Modelling benthic macro-invertebrate communities in Flanders using artificial neural networks. Ghent University Academic Bibliography (Ghent University).

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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