Andy Dedecker

583 total citations
16 papers, 464 citations indexed

About

Andy Dedecker is a scholar working on Ecology, Nature and Landscape Conservation and Ecological Modeling. According to data from OpenAlex, Andy Dedecker has authored 16 papers receiving a total of 464 indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Ecology, 10 papers in Nature and Landscape Conservation and 7 papers in Ecological Modeling. Recurrent topics in Andy Dedecker's work include Freshwater macroinvertebrate diversity and ecology (14 papers), Fish Ecology and Management Studies (10 papers) and Species Distribution and Climate Change (7 papers). Andy Dedecker is often cited by papers focused on Freshwater macroinvertebrate diversity and ecology (14 papers), Fish Ecology and Management Studies (10 papers) and Species Distribution and Climate Change (7 papers). Andy Dedecker collaborates with scholars based in Belgium, France and Greece. Andy Dedecker's co-authors include Peter Goethals, Niels De Pauw, Wim Gabriëls, Sovan Lek, M. Lazaridou-Dimitriadou, Ans Mouton, Muriel Gevrey, Veronique Adriaenssens and Niels Raes and has published in prestigious journals such as Ecological Modelling, Environmental Monitoring and Assessment and The Scientific World JOURNAL.

In The Last Decade

Andy Dedecker

15 papers receiving 455 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Andy Dedecker Belgium	9	263	246	137	127	95	16	464
Wim Gabriëls Belgium	8	341 1.3×	493 2.0×	101 0.7×	196 1.5×	78 0.8×	17	719
William J. Walley United Kingdom	11	220 0.8×	284 1.2×	68 0.5×	123 1.0×	32 0.3×	31	456
Penghui Zhu China	12	62 0.2×	360 1.5×	123 0.9×	64 0.5×	14 0.1×	32	676
Caiti Steele United States	11	87 0.3×	258 1.0×	233 1.7×	33 0.3×	48 0.5×	15	504
Michele Pellizzato Italy	8	51 0.2×	180 0.7×	61 0.4×	20 0.2×	29 0.3×	11	469
Josip Križan Croatia	10	46 0.2×	90 0.4×	167 1.2×	24 0.2×	27 0.3×	21	348
Eric Ariel L. Salas United States	13	34 0.1×	382 1.6×	182 1.3×	27 0.2×	88 0.9×	29	582
C. P. West United States	10	28 0.1×	207 0.8×	111 0.8×	42 0.3×	29 0.3×	23	555
Reginald S. Fletcher United States	15	31 0.1×	420 1.7×	153 1.1×	27 0.2×	43 0.5×	62	674
Hossein Aghighi Iran	14	21 0.1×	415 1.7×	242 1.8×	26 0.2×	42 0.4×	31	865

Countries citing papers authored by Andy Dedecker

Since Specialization

Citations

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

Fields of papers citing papers by Andy Dedecker

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Andy Dedecker

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

All Works

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16 of 16 papers shown

Mouton, Ans, Andy Dedecker, Sovan Lek, & Peter Goethals. (2009). Selecting Variables for Habitat Suitability of Asellus (Crustacea, Isopoda) by Applying Input Variable Contribution Methods to Artificial Neural Network Models. Environmental Modeling & Assessment. 15(1). 65–79. 30 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

Dedecker, Andy, et al.. (2006). Development of migration models for macroinvertebrates in the Zwalm river basin (Flanders, Belgium) as tools for restoration management. Ecological Modelling. 203(1-2). 72–86. 23 indexed citations

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

Dedecker, Andy, et al.. (2006). Decision Tree Models for Prediction of Macroinvertebrate Taxa in the River Axios (Northern Greece). Aquatic Ecology. 41(3). 399–411. 58 indexed citations

Dedecker, Andy, et al.. (2005). Application Of Artificial Neural Network Models To Analyse The Relationships Between Gammarus pulex L. (Crustacea, Amphipoda) And River Characteristics. Environmental Monitoring and Assessment. 111(1-3). 223–241. 31 indexed citations

Dedecker, Andy, et al.. (2005). Development of an in-stream migration model for Gammarus pulex L. (Crustacea, Amphipoda) as a tool in river restoration management. Aquatic Ecology. 40(2). 249–261. 15 indexed citations

Dedecker, Andy, et al.. (2004). Development of migration models for macroinvertebrates in the Zwalm river basin as a tool in river assessment and restoration management.. PubMed. 69(2). 81–4. 2 indexed citations

10.

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

11.

Dedecker, Andy, et al.. (2004). Impact study of physical habitat restoration on aquatic macroinvertebrates in rivers by means of neural networks and migration models: case study of the mayfly Baetis (Insecta - Ephemeroptera). Ghent University Academic Bibliography (Ghent University). 1157–1161. 1 indexed citations

12.

Goethals, Peter, et al.. (2003). Development of a monitoring network to model the habitat suitability of macroinvertebrates in the Zwalm river basin (Flanders, Belgium). Ghent University Academic Bibliography (Ghent University). 753–758. 2 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.

Dedecker, Andy, Peter Goethals, & Niels De Pauw. (2002). Comparison of Artificial Neural Network (ANN) Model Development Methods for Prediction of Macroinvertebrate Communities in the Zwalm River Basin in Flanders, Belgium. The Scientific World JOURNAL. 2. 96–104. 24 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

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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