Arnaud Grüss

2.4k total citations
73 papers, 1.8k citations indexed

About

Arnaud Grüss is a scholar working on Global and Planetary Change, Ecology and Nature and Landscape Conservation. According to data from OpenAlex, Arnaud Grüss has authored 73 papers receiving a total of 1.8k indexed citations (citations by other indexed papers that have themselves been cited), including 72 papers in Global and Planetary Change, 50 papers in Ecology and 28 papers in Nature and Landscape Conservation. Recurrent topics in Arnaud Grüss's work include Marine and fisheries research (72 papers), Marine Bivalve and Aquaculture Studies (36 papers) and Coral and Marine Ecosystems Studies (34 papers). Arnaud Grüss is often cited by papers focused on Marine and fisheries research (72 papers), Marine Bivalve and Aquaculture Studies (36 papers) and Coral and Marine Ecosystems Studies (34 papers). Arnaud Grüss collaborates with scholars based in United States, New Zealand and France. Arnaud Grüss's co-authors include James T. Thorson, David M. Kaplan, Cameron H. Ainsworth, Elizabeth A. Babcock, Sylvie Guénette, Callum M. Roberts, Louis W. Botsford, Michael Drexler, Jan Robinson and Brad Erisman and has published in prestigious journals such as PLoS ONE, Scientific Reports and Journal of Applied Ecology.

In The Last Decade

Arnaud Grüss

71 papers receiving 1.8k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Arnaud Grüss United States 26 1.5k 1.2k 677 194 150 73 1.8k
Géraldine Lassalle France 20 667 0.4× 666 0.5× 397 0.6× 141 0.7× 110 0.7× 42 1.1k
Sandrine Vaz France 22 887 0.6× 727 0.6× 396 0.6× 261 1.3× 105 0.7× 57 1.2k
Rebecca Gorton Australia 21 1.1k 0.7× 775 0.6× 358 0.5× 322 1.7× 50 0.3× 34 1.5k
Tim Langlois Australia 24 1.0k 0.7× 1.2k 1.0× 785 1.2× 274 1.4× 39 0.3× 81 1.7k
Morgane Travers‐Trolet France 22 1.4k 0.9× 1.0k 0.8× 305 0.5× 447 2.3× 49 0.3× 41 1.7k
Mette Skern‐Mauritzen Norway 23 1.0k 0.7× 955 0.8× 331 0.5× 376 1.9× 42 0.3× 50 1.5k
Anna Rindorf Denmark 24 1.2k 0.8× 742 0.6× 598 0.9× 161 0.8× 31 0.2× 63 1.5k
Joan A. Browder United States 20 720 0.5× 814 0.7× 398 0.6× 330 1.7× 46 0.3× 54 1.3k
Arnault Le Bris Canada 15 879 0.6× 697 0.6× 318 0.5× 355 1.8× 44 0.3× 31 1.2k
Göran Sundblad Sweden 19 651 0.4× 616 0.5× 455 0.7× 258 1.3× 101 0.7× 32 1.1k

Countries citing papers authored by Arnaud Grüss

Since Specialization
Citations

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

Fields of papers citing papers by Arnaud Grüss

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Arnaud Grüss

This figure shows the co-authorship network connecting the top 25 collaborators of Arnaud Grüss. A scholar is included among the top collaborators of Arnaud Grüss 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 Arnaud Grüss. Arnaud Grüss 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.
Grüss, Arnaud, et al.. (2025). Impacts of different types of data integration on the predictions of spatio-temporal models: A fishery application and simulation experiment. Fisheries Research. 284. 107321–107321. 1 indexed citations
2.
Grüss, Arnaud, Henning Winker, James T. Thorson, et al.. (2024). Coupling state‐of‐the‐art modelling tools for better informed Red List assessments of marine fishes. Journal of Applied Ecology. 61(4). 647–657. 4 indexed citations
3.
Behrens, Erik, et al.. (2024). Tropical teleconnections through the Amundsen Sea Low impact Antarctic toothfish recruitment within the Ross Gyre. Scientific Reports. 14(1). 26715–26715. 2 indexed citations
4.
Hoyle, Simon, Robert A. Campbell, Arnaud Grüss, et al.. (2023). Catch per unit effort modelling for stock assessment: A summary of good practices. Fisheries Research. 269. 106860–106860. 38 indexed citations
5.
Grüss, Arnaud, et al.. (2023). Supporting a stock assessment with spatio-temporal models fitted to fisheries-dependent data. Fisheries Research. 262. 106649–106649. 8 indexed citations
6.
Grüss, Arnaud, Bradley R. Moore, Matthew H. Pinkerton, & Jennifer A. Devine. (2023). Understanding the spatio-temporal abundance patterns of the major bycatch species groups in the Ross Sea region Antarctic toothfish (Dissostichus mawsoni) fishery. Fisheries Research. 262. 106647–106647. 6 indexed citations
7.
Grüss, Arnaud, Matthew H. Pinkerton, Sophie Mormede, & Jennifer A. Devine. (2023). Evaluating the impacts of the Ross Sea region marine protected area for Antarctic toothfish (Dissostichus mawsoni) with a spatially-explicit population model. Ocean & Coastal Management. 249. 106991–106991. 2 indexed citations
8.
Grüss, Arnaud, et al.. (2023). Integrating survey and observer data improves the predictions of New Zealand spatio-temporal models. ICES Journal of Marine Science. 80(7). 1991–2007. 8 indexed citations
9.
Costello, Mark J., et al.. (2022). Warm and cold temperatures limit the maximum body length of teleost fishes across a latitudinal gradient in Norwegian waters. Environmental Biology of Fishes. 105(10). 1415–1429. 13 indexed citations
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11.
Xu, Yi, Alida Bundy, Arnaud Grüss, et al.. (2019). Making ecological indicators management ready: Assessing the specificity, sensitivity, and threshold response of ecological indicators. Ecological Indicators. 105. 16–28. 43 indexed citations
12.
Grüss, Arnaud, et al.. (2019). A revised diet matrix to improve the parameterization of a West Florida Shelf Ecopath model for understanding harmful algal bloom impacts. Ecological Modelling. 416. 108890–108890. 2 indexed citations
13.
14.
Grüss, Arnaud, Christopher Biggs, William D. Heyman, & Brad Erisman. (2018). Prioritizing monitoring and conservation efforts for fish spawning aggregations in the U.S. Gulf of Mexico. Scientific Reports. 8(1). 8473–8473. 28 indexed citations
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16.
Grüss, Arnaud, Dawit Yemane, & Tracey P. Fairweather. (2016). Exploring the spatial distribution patterns of South African Cape hakes using generalised additive models. African Journal of Marine Science. 38(3). 395–409. 25 indexed citations
17.
Shannon, Lynne, Laure Velez, Ekin Akoğlu, et al.. (2016). Ecosystem indicators—accounting for variability in species’ trophic levels. ICES Journal of Marine Science. 74(1). 158–169. 34 indexed citations
18.
Grüss, Arnaud. (2015). Q&A: The Present and the Future of World and U.S. Fisheries—Interview with Daniel Pauly. Fisheries. 40(1). 37–41. 2 indexed citations
19.
Grüss, Arnaud, Jan Robinson, Selina S. Heppell, Scott A. Heppell, & Brice X. Semmens. (2014). Conservation and fisheries effects of spawning aggregation marine protected areas: What we know, where we should go, and what we need to get there. ICES Journal of Marine Science. 71(7). 1515–1534. 75 indexed citations
20.
Townsend, Howard, Christopher Harvey, Kerim Aydin, et al.. (2014). Report of the 3rd National Ecosystem Modeling Workshop (NEMoW 3) : mingling models for marine resource management, multiple model inference. 11 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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