J. Sueur

553 total citations
9 papers, 408 citations indexed

About

J. Sueur is a scholar working on Developmental Biology, Ecology, Evolution, Behavior and Systematics and Ecology. According to data from OpenAlex, J. Sueur has authored 9 papers receiving a total of 408 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Developmental Biology, 5 papers in Ecology, Evolution, Behavior and Systematics and 4 papers in Ecology. Recurrent topics in J. Sueur's work include Animal Vocal Communication and Behavior (6 papers), Marine animal studies overview (4 papers) and Plant and animal studies (4 papers). J. Sueur is often cited by papers focused on Animal Vocal Communication and Behavior (6 papers), Marine animal studies overview (4 papers) and Plant and animal studies (4 papers). J. Sueur collaborates with scholars based in France, United Kingdom and United States. J. Sueur's co-authors include Amandine Gasc, Sandrine Pavoine, Philippe Grandcolas, Thierry Aubin, Frédéric Jiguet, Vincent Devictor, Klaus Riede, Gianni Pavan, Diego Llusia and Martin К. Obrist and has published in prestigious journals such as The Journal of the Acoustical Society of America, Biological Conservation and Journal of Experimental Biology.

In The Last Decade

J. Sueur

9 papers receiving 391 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
J. Sueur France 7 311 246 159 56 52 9 408
Marina H. L. Duarte Brazil 10 245 0.8× 254 1.0× 94 0.6× 27 0.5× 48 0.9× 21 378
Juan Sebastián Ulloa Colombia 10 188 0.6× 138 0.6× 71 0.4× 61 1.1× 26 0.5× 18 264
Benjamin L. Gottesman United States 9 186 0.6× 179 0.7× 59 0.4× 37 0.7× 42 0.8× 13 289
Tom Bradfer‐Lawrence United Kingdom 8 278 0.9× 297 1.2× 77 0.5× 54 1.0× 71 1.4× 15 469
Sarab S. Sethi United Kingdom 10 273 0.9× 236 1.0× 54 0.3× 119 2.1× 30 0.6× 21 475
Dena J. Clink United States 14 389 1.3× 211 0.9× 206 1.3× 114 2.0× 16 0.3× 38 494
Wooyeong Joo United States 5 386 1.2× 319 1.3× 93 0.6× 95 1.7× 175 3.4× 13 506
David Tucker Australia 7 353 1.1× 309 1.3× 81 0.5× 89 1.6× 114 2.2× 9 439
Carlos J. Corrada-Bravo Puerto Rico 4 434 1.4× 299 1.2× 155 1.0× 179 3.2× 14 0.3× 5 583
Jennifer R. Foote Canada 14 541 1.7× 436 1.8× 438 2.8× 59 1.1× 13 0.3× 33 722

Countries citing papers authored by J. Sueur

Since Specialization
Citations

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

Fields of papers citing papers by J. Sueur

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of J. Sueur

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

All Works

9 of 9 papers shown
1.
Gasc, Amandine, Juan Ansó, J. Sueur, Hervé Jourdan, & Laure Desutter‐Grandcolas. (2017). Cricket calling communities as an indicator of the invasive ant Wasmannia auropunctata in an insular biodiversity hotspot. Biological Invasions. 20(5). 1099–1111. 28 indexed citations
2.
Gasc, Amandine, et al.. (2015). Acoustic indices for biodiversity assessments: Analyses of bias based on simulated bird assemblages and recommendations for field surveys. Biological Conservation. 191. 306–312. 101 indexed citations
3.
Gasc, Amandine, J. Sueur, Frédéric Jiguet, et al.. (2012). Assessing biodiversity with sound: Do acoustic diversity indices reflect phylogenetic and functional diversities of bird communities?. Ecological Indicators. 25. 279–287. 138 indexed citations
4.
Obrist, Martin К., Gianni Pavan, J. Sueur, et al.. (2010). Bioacoustics approaches in biodiversity inventories. DORA WSL (Swiss Federal Institute for Forest, Snow and Landscape Research). 68–99. 75 indexed citations
5.
Windmill, James F. C., J. Sueur, & Daniel Robert. (2009). The next step in cicada audition: measuring pico-mechanics in the cicada's ear. Journal of Experimental Biology. 212(24). 4079–4083. 4 indexed citations
6.
Papachristoforou, Alexandros, et al.. (2008). High frequency sounds produced by Cyprian honeybees Apis mellifera cypria when confronting their predator, the Oriental hornet Vespa orientalis. HAL (Le Centre pour la Communication Scientifique Directe). 3 indexed citations
7.
Sueur, J. & Thierry Aubin. (2003). Is microhabitat segregation between two cicada species ( Tibicina haematodes and Cicada orni ) due to calling song propagation constraints?. Die Naturwissenschaften. 90(7). 322–326. 21 indexed citations
8.
Sueur, J. & Thierry Aubin. (2002). Acoustic communication in the Palaearctic red cicada,Tibicina haematodes: chorus organisation, calling-song structure, and signal recognition. Canadian Journal of Zoology. 80(1). 126–136. 30 indexed citations
9.
Sueur, J., et al.. (1995). Development and validation of a criterion for assessing the acoustic performance of industrial rooms. The Journal of the Acoustical Society of America. 97(3). 1727–1731. 8 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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