David Halfmaerten

1.3k total citations
19 papers, 562 citations indexed

About

David Halfmaerten is a scholar working on Ecology, Molecular Biology and Genetics. According to data from OpenAlex, David Halfmaerten has authored 19 papers receiving a total of 562 indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Ecology, 12 papers in Molecular Biology and 3 papers in Genetics. Recurrent topics in David Halfmaerten's work include Environmental DNA in Biodiversity Studies (10 papers), Identification and Quantification in Food (9 papers) and Microbial Community Ecology and Physiology (7 papers). David Halfmaerten is often cited by papers focused on Environmental DNA in Biodiversity Studies (10 papers), Identification and Quantification in Food (9 papers) and Microbial Community Ecology and Physiology (7 papers). David Halfmaerten collaborates with scholars based in Belgium, Denmark and Norway. David Halfmaerten's co-authors include Sabrina Neyrinck, Rein Brys, Steen Wilhelm Knudsen, Eva Egelyng Sigsgaard, Johan Spens, Sarah S. T. Mak, Mita Eva Sengupta, Alice Evans, Micaela Hellström and Quentin Mauvisseau and has published in prestigious journals such as The Science of The Total Environment, Scientific Reports and Molecular Ecology.

In The Last Decade

David Halfmaerten

17 papers receiving 557 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
David Halfmaerten Belgium 8 529 419 111 75 59 19 562
Jeremy A. Baumgardt United States 7 392 0.7× 252 0.6× 69 0.6× 69 0.9× 46 0.8× 17 417
Jonas Bylemans Australia 12 652 1.2× 572 1.4× 153 1.4× 51 0.7× 29 0.5× 17 693
Adam S. Smart Australia 7 295 0.6× 196 0.5× 59 0.5× 98 1.3× 35 0.6× 10 333
Gaia Meigs‐Friend United States 5 328 0.6× 251 0.6× 63 0.6× 50 0.7× 37 0.6× 8 365
Lori A. Williams United States 8 274 0.5× 199 0.5× 118 1.1× 85 1.1× 90 1.5× 20 351
Cristina Di Muri Italy 10 384 0.7× 342 0.8× 129 1.2× 77 1.0× 42 0.7× 24 473
Ecaterina Edith Vamos Germany 3 466 0.9× 332 0.8× 44 0.4× 107 1.4× 27 0.5× 4 507
Naiara Guimarães Sales United Kingdom 13 504 1.0× 460 1.1× 208 1.9× 82 1.1× 23 0.4× 28 663
Thomas W. Franklin United States 11 388 0.7× 266 0.6× 138 1.2× 81 1.1× 39 0.7× 27 425
Toshiaki Jo Japan 15 920 1.7× 774 1.8× 156 1.4× 54 0.7× 43 0.7× 35 963

Countries citing papers authored by David Halfmaerten

Since Specialization
Citations

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

Fields of papers citing papers by David Halfmaerten

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of David Halfmaerten

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

All Works

19 of 19 papers shown
2.
Jacquemyn, Hans, et al.. (2025). Is exposure to chytrid fungus and ranavirus higher in ponds invaded by American bullfrogs?. Biological Invasions. 27(9).
3.
Neyrinck, Sabrina, et al.. (2024). Environmental DNA metabarcoding reflects spatiotemporal fish community shifts in the Scheldt estuary. The Science of The Total Environment. 934. 173242–173242. 7 indexed citations
4.
Neyrinck, Sabrina, David Halfmaerten, Annelies Haegeman, et al.. (2023). Using environmental DNA metabarcoding to monitor fish communities in small rivers and large brooks: Insights on the spatial scale of information. Environmental Research. 228. 115857–115857. 15 indexed citations
5.
Brys, Rein, et al.. (2023). Combining multiple markers significantly increases the sensitivity and precision of eDNA‐based single‐species analyses. Environmental DNA. 5(5). 1065–1077. 18 indexed citations
6.
Halfmaerten, David, et al.. (2021). Accurate detection and quantification of seasonal abundance of American bullfrog (Lithobates catesbeianus) using ddPCR eDNA assays. Scientific Reports. 11(1). 11282–11282. 31 indexed citations
7.
Brys, Rein, et al.. (2021). The use of multiple markers and internal positive controls significantly improves species eDNA detection rates and data reliability. Zenodo (CERN European Organization for Nuclear Research). 4. 1 indexed citations
8.
Brys, Rein, et al.. (2021). The invasive parthenogenetic marbled crayfish Procambarus virginalis Lyko, 2017 gets foothold in Belgium. BioInvasions Records. 10(2). 326–340. 5 indexed citations
9.
Cox, Karen, Mathieu Denoël, Hans Van Calster, et al.. (2021). Scale-dependent effects of terrestrial habitat on genetic variation in the great crested newt (Triturus cristatus). Landscape Ecology. 36(10). 3029–3048. 7 indexed citations
10.
Mauvisseau, Quentin, David Halfmaerten, Sabrina Neyrinck, Alfred Burian, & Rein Brys. (2021). Effects of preservation strategies on environmental DNA detection and quantification using ddPCR. Environmental DNA. 3(4). 815–822. 28 indexed citations
11.
Speybroeck, Jeroen, et al.. (2021). Aesthetic aliens: invasion of the beauty rat snake, Elaphe taeniura Cope, 1861 in Belgium, Europe. BioInvasions Records. 10(3). 741–754. 1 indexed citations
12.
Brys, Rein, et al.. (2020). De Noord-Aziatische modderkruiper - Nieuwe invasieve vissoort duikt dankzij eDNA niet langer ongezien de grens over. 20(2). 70–74. 1 indexed citations
13.
Brys, Rein, et al.. (2020). Monitoring of spatiotemporal occupancy patterns of fish and amphibian species in a lentic aquatic system using environmental DNA. Molecular Ecology. 30(13). 3097–3110. 57 indexed citations
14.
Brys, Rein, David Halfmaerten, Sabrina Neyrinck, et al.. (2020). Reliable eDNA detection and quantification of the European weather loach (Misgurnus fossilis). Journal of Fish Biology. 98(2). 399–414. 78 indexed citations
16.
Spens, Johan, Alice Evans, David Halfmaerten, et al.. (2016). Comparison of capture and storage methods for aqueous macrobial eDNA using an optimized extraction protocol: advantage of enclosed filter. Methods in Ecology and Evolution. 8(5). 635–645. 275 indexed citations
17.
Pertoldi, Cino, Peter Breyne, David Halfmaerten, et al.. (2006). Genetic structure of the European polecat (Mustela putorius) and its implication for conservation strategies. Journal of Zoology. 270(1). 102–115. 24 indexed citations
18.
Broeck, An Vanden, Véronique Storme, Paul Quataert, et al.. (2002). Mating system of Populus nigra. 53–60. 4 indexed citations
19.
Storme, Véronique, An Vanden Broeck, B. Ivens, et al.. (2002). Ex-situ conservation black poplar in Belgium, the margin of the geographical distribution area of the species. Ghent University Academic Bibliography (Ghent University). 61–72. 3 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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