Vera Schluessel

1.4k total citations
41 papers, 1.0k citations indexed

About

Vera Schluessel is a scholar working on Nature and Landscape Conservation, Ecology, Evolution, Behavior and Systematics and Ecology. According to data from OpenAlex, Vera Schluessel has authored 41 papers receiving a total of 1.0k indexed citations (citations by other indexed papers that have themselves been cited), including 35 papers in Nature and Landscape Conservation, 10 papers in Ecology, Evolution, Behavior and Systematics and 9 papers in Ecology. Recurrent topics in Vera Schluessel's work include Ichthyology and Marine Biology (31 papers), Fish biology, ecology, and behavior (9 papers) and Marine animal studies overview (7 papers). Vera Schluessel is often cited by papers focused on Ichthyology and Marine Biology (31 papers), Fish biology, ecology, and behavior (9 papers) and Marine animal studies overview (7 papers). Vera Schluessel collaborates with scholars based in Germany, Australia and United Kingdom. Vera Schluessel's co-authors include Horst Bleckmann, Michael Barker, Shaun P. Collin, M. B. Bennett, Simon P. Blomberg, Rafael A. Calvo, Samuel H. Gruber, Jennifer R. Ovenden, Ingolf P. Rick and Culum Brown and has published in prestigious journals such as SHILAP Revista de lepidopterología, PLoS ONE and Scientific Reports.

In The Last Decade

Vera Schluessel

41 papers receiving 970 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Vera Schluessel Germany 20 703 290 204 202 162 41 1.0k
Kara E. Yopak United States 20 719 1.0× 489 1.7× 131 0.6× 237 1.2× 118 0.7× 47 1.2k
Thomas J. Lisney Australia 23 653 0.9× 495 1.7× 183 0.9× 411 2.0× 110 0.7× 40 1.4k
Daphne Soares United States 18 357 0.5× 335 1.2× 278 1.4× 193 1.0× 42 0.3× 40 1.0k
Theresa Burt de Perera United Kingdom 18 328 0.5× 311 1.1× 150 0.7× 219 1.1× 60 0.4× 41 864
Moira J. van Staaden United States 15 341 0.5× 328 1.1× 102 0.5× 461 2.3× 128 0.8× 31 1.0k
Victoria L. Pritchard United States 21 661 0.9× 366 1.3× 168 0.8× 517 2.6× 134 0.8× 42 1.4k
David Bodznick United States 22 883 1.3× 594 2.0× 51 0.3× 97 0.5× 105 0.6× 45 1.4k
Caroly A. Shumway United States 11 293 0.4× 243 0.8× 148 0.7× 208 1.0× 65 0.4× 13 670
Frédéric Laberge Canada 16 127 0.2× 135 0.5× 103 0.5× 174 0.9× 81 0.5× 43 689
Marta C. Soares Portugal 23 162 0.2× 480 1.7× 148 0.7× 633 3.1× 67 0.4× 82 1.4k

Countries citing papers authored by Vera Schluessel

Since Specialization
Citations

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

Fields of papers citing papers by Vera Schluessel

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Vera Schluessel

This figure shows the co-authorship network connecting the top 25 collaborators of Vera Schluessel. A scholar is included among the top collaborators of Vera Schluessel 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 Vera Schluessel. Vera Schluessel 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.
Schluessel, Vera, et al.. (2023). When the penny drops: sharks outsmart cichlids in serial reversal learning. Behaviour. 160(11-14). 1259–1281. 1 indexed citations
2.
Calvo, Rafael A., Michael Hofmann, & Vera Schluessel. (2023). Brain areas activated during visual learning in the cichlid fish Pseudotropheus zebra. Brain Structure and Function. 228(3-4). 859–873. 6 indexed citations
3.
Brown, Culum & Vera Schluessel. (2022). Smart sharks: a review of chondrichthyan cognition. Animal Cognition. 26(1). 175–188. 16 indexed citations
4.
Schluessel, Vera, et al.. (2022). Cichlids and stingrays can add and subtract ‘one’ in the number space from one to five. Scientific Reports. 12(1). 3894–3894. 12 indexed citations
5.
Calvo, Rafael A. & Vera Schluessel. (2021). Neural substrates involved in the cognitive information processing in teleost fish. Animal Cognition. 24(5). 923–946. 19 indexed citations
6.
Schluessel, Vera, et al.. (2021). Not just shades of grey: life is full of colour for the ocellate river stingray (Potamotrygon motoro). Journal of Experimental Biology. 224(9). 9 indexed citations
7.
Schluessel, Vera, et al.. (2020). Visual discrimination and resolution in freshwater stingrays (Potamotrygon motoro). Journal of Comparative Physiology A. 207(1). 43–58. 6 indexed citations
8.
Schluessel, Vera, et al.. (2019). Serial reversal learning in freshwater stingrays (Potamotrygon motoro). Animal Cognition. 23(1). 109–119. 10 indexed citations
9.
Schluessel, Vera, et al.. (2018). How to get out of a maze? Stingrays ( Potamotrygon motoro ) use directional over landmark information when provided with both in a spatial task. Evolutionary ecology research. 19(5). 591–617. 9 indexed citations
10.
Schluessel, Vera, et al.. (2018). Immediate early gene expression related to learning and retention of a visual discrimination task in bamboo sharks (Chiloscyllium griseum). Brain Structure and Function. 223(9). 3975–4003. 6 indexed citations
11.
Schluessel, Vera, et al.. (2015). Perception and discrimination of movement and biological motion patterns in fish. Animal Cognition. 18(5). 1077–1091. 22 indexed citations
12.
13.
Schluessel, Vera, et al.. (2014). Symmetry perception in bamboo sharks (Chiloscyllium griseum) and Malawi cichlids (Pseudotropheus sp.). Animal Cognition. 17(5). 1187–1205. 24 indexed citations
14.
Schluessel, Vera, Jenny Giles, & Peter M. Kyne. (2014). Notes on female reproductive biology and embryos of the brown guitarfish Rhinobatos schlegelii from the Penghu Islands, Taiwan. Ichthyological Research. 62(3). 347–350. 10 indexed citations
15.
Bleckmann, Horst, et al.. (2013). Visual discrimination abilities in the gray bamboo shark (Chiloscyllium griseum). Zoology. 117(2). 104–111. 32 indexed citations
16.
Bleckmann, Horst, et al.. (2013). Place learning prior to and after telencephalon ablation in bamboo and coral cat sharks (Chiloscyllium griseum and Atelomycterus marmoratus). Journal of Comparative Physiology A. 200(1). 37–52. 30 indexed citations
17.
Bleckmann, Horst, et al.. (2013). Cognitive Abilities in Malawi Cichlids (Pseudotropheus sp.): Matching-to-Sample and Image/Mirror-Image Discriminations. PLoS ONE. 8(2). e57363–e57363. 38 indexed citations
18.
Schluessel, Vera, et al.. (2012). Visual discrimination and object categorization in the cichlid Pseudotropheus sp.. Animal Cognition. 15(4). 525–537. 46 indexed citations
19.
Schluessel, Vera, M. B. Bennett, Horst Bleckmann, Simon P. Blomberg, & Shaun P. Collin. (2008). Morphometric and ultrastructural comparison of the olfactory system in elasmobranchs: The significance of structure–function relationships based on phylogeny and ecology. Journal of Morphology. 269(11). 1365–1386. 75 indexed citations
20.
Barker, Michael & Vera Schluessel. (2004). Managing global shark fisheries: suggestions for prioritizing management strategies. Aquatic Conservation Marine and Freshwater Ecosystems. 15(4). 325–347. 133 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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