Quentin Groom

6.9k total citations
149 papers, 2.4k citations indexed

About

Quentin Groom is a scholar working on Ecological Modeling, Ecology and Ecology, Evolution, Behavior and Systematics. According to data from OpenAlex, Quentin Groom has authored 149 papers receiving a total of 2.4k indexed citations (citations by other indexed papers that have themselves been cited), including 83 papers in Ecological Modeling, 41 papers in Ecology and 36 papers in Ecology, Evolution, Behavior and Systematics. Recurrent topics in Quentin Groom's work include Species Distribution and Climate Change (83 papers), Research Data Management Practices (26 papers) and Environmental DNA in Biodiversity Studies (24 papers). Quentin Groom is often cited by papers focused on Species Distribution and Climate Change (83 papers), Research Data Management Practices (26 papers) and Environmental DNA in Biodiversity Studies (24 papers). Quentin Groom collaborates with scholars based in Belgium, United Kingdom and Germany. Quentin Groom's co-authors include Nigel J. Robinson, Neil R. Baker, Donald R. Ort, Anthony P. Fordham‐Skelton, K. E. Hammond‐Kosack, Miguel Ángel Medina Torres, Jonathan D. G. Jones, Tom Reynolds, Tim Adriaens and Ronald S. Hutchison and has published in prestigious journals such as SHILAP Revista de lepidopterología, PLoS ONE and Biochemistry.

In The Last Decade

Quentin Groom

130 papers receiving 2.3k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Quentin Groom Belgium 24 858 692 666 565 530 149 2.4k
Lyubomir Penev Bulgaria 23 211 0.2× 700 1.0× 601 0.9× 293 0.5× 610 1.2× 111 2.0k
Rose L. Andrew Australia 29 785 0.9× 310 0.4× 925 1.4× 896 1.6× 849 1.6× 57 3.2k
Dan G. Bock Canada 21 445 0.5× 218 0.3× 498 0.7× 710 1.3× 675 1.3× 37 2.5k
Meredith A. Lane United States 12 465 0.5× 416 0.6× 610 0.9× 252 0.4× 334 0.6× 35 1.5k
Joseph T. Miller Australia 41 1.6k 1.8× 871 1.3× 1.9k 2.8× 1.0k 1.8× 666 1.3× 120 4.4k
Jana Wäldchen Germany 19 600 0.7× 424 0.6× 318 0.5× 211 0.4× 505 1.0× 40 1.6k
Neil Brummitt United Kingdom 23 362 0.4× 1.0k 1.5× 948 1.4× 307 0.5× 763 1.4× 45 2.3k
Brook T. Moyers United States 15 745 0.9× 155 0.2× 445 0.7× 535 0.9× 341 0.6× 22 1.9k
Stephen M. Welch United States 27 1.4k 1.6× 169 0.2× 581 0.9× 558 1.0× 344 0.6× 81 2.7k
Sébastien Renaut Canada 26 555 0.6× 131 0.2× 328 0.5× 759 1.3× 552 1.0× 41 2.6k

Countries citing papers authored by Quentin Groom

Since Specialization
Citations

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

Fields of papers citing papers by Quentin Groom

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Quentin Groom

This figure shows the co-authorship network connecting the top 25 collaborators of Quentin Groom. A scholar is included among the top collaborators of Quentin Groom 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 Quentin Groom. Quentin Groom 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.
Salata, Sebastian, Lech Borowiec, Mathias Dillen, et al.. (2025). The “Ants of Cyprus” website: a dynamic, online awareness raising and conservation tool. Biodiversity Data Journal. 13. e141679–e141679.
2.
Dillen, Mathias, Henry Engledow, Frédérik Leliaert, et al.. (2024). The Meise Botanic Garden Herbarium Data Management Plan. SHILAP Revista de lepidopterología. 10.
3.
Pernat, Nadja, Susan Canavan, Marina Golivets, et al.. (2024). Overcoming biodiversity blindness: Secondary data in primary citizen science observations. SHILAP Revista de lepidopterología. 5(1). 15 indexed citations
4.
McGeoch, Mélodie A., Yehezkel Buba, Jonathan Belmaker, et al.. (2023). Invasion trends: An interpretable measure of change is needed to support policy targets. Conservation Letters. 16(6). 13 indexed citations
5.
Mering, Sabine von, Quentin Groom, Elspeth Haston, et al.. (2023). Modelling Research Expeditions in Wikidata: Best Practice for Standardisation and Contextualisation. Biodiversity Information Science and Standards. 7. 4 indexed citations
6.
7.
Soiland‐Reyes, Stian, Stuart Owen, Douglas Lowe, et al.. (2022). 10 Simple Rules for making a software tool workflow-ready. Zenodo (CERN European Organization for Nuclear Research). 1 indexed citations
8.
Probert, Anna F., Daniel Wegmann, Tim Adriaens, et al.. (2022). Identifying, reducing, and communicating uncertainty in community science: a focus on alien species. Biological Invasions. 24(11). 3395–3421. 10 indexed citations
9.
Buschbom, Jutta, et al.. (2022). Latimer Core: A new data standard for collection descriptions. Biodiversity Information Science and Standards. 6. 9 indexed citations
10.
Meeus, Sofie, Iolanda Silva‐Rocha, Tim Adriaens, et al.. (2021). BioBlitz is More than a Bit of Fun. Biodiversity Information Science and Standards. 5. 4 indexed citations
11.
Waagmeester, Andra, Egon Willighagen, Andrew I. Su, et al.. (2021). A protocol for adding knowledge to Wikidata: aligning resources on human coronaviruses. BMC Biology. 19(1). 12–12. 12 indexed citations
12.
Penev, Lyubomir, Dimitrios Koureas, Quentin Groom, et al.. (2021). Towards Interlinked FAIR Biodiversity Knowledge: The BiCIKL perspective. Biodiversity Information Science and Standards. 5. 4 indexed citations
13.
Trekels, Maarten, et al.. (2020). How do you Develop a Data Standard? Wikibase might be the Solution…. Biodiversity Information Science and Standards. 4. 1 indexed citations
14.
Owen, David, et al.. (2020). Towards a scientific workflow featuring Natural Language Processing for the digitisation of natural history collections. SHILAP Revista de lepidopterología. 6. 15 indexed citations
15.
Wilson, John R., Sven Bacher, Curtis C. Daehler, et al.. (2020). Frameworks used in invasion science: progress and prospects. NeoBiota. 62. 1–30. 16 indexed citations
16.
Seebens, Hanno, David A. Clarke, Quentin Groom, et al.. (2020). A workflow for standardising and integrating alien species distribution data. NeoBiota. 59. 39–59. 36 indexed citations
17.
Paul, Deborah, Stanley Blum, Sharon Grant, et al.. (2020). Unity in Variety: Developing a collection description standard by consensus. Biodiversity Information Science and Standards. 4. 3 indexed citations
18.
Eggermont, Hilde, et al.. (2020). Citizen Science Toolkit for biodiversity scientists. Zenodo (CERN European Organization for Nuclear Research). 2 indexed citations
19.
Sabatini, Francesco María, Enrico Tordoni, Daniele Da Re, et al.. (2018). Addressing multiple facets of bias and uncertainty in continental scale biodiversity databases. International Journal of Engineering & Technology. 18(4.18). 5–8. 2 indexed citations
20.
Carvalheiro, Luísa G., William E. Kunin, Petr Keil, et al.. (2013). Species richness declines and biotic homogenisation have slowed down for NW ‐European pollinators and plants. Ecology Letters. 16(7). 870–878. 280 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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