Gudrun Daxner-Höck

61 total papers · 1.2k total citations
49 papers, 954 citations indexed

About

Gudrun Daxner-Höck is a scholar working on Paleontology, Ecology and Geometry and Topology. According to data from OpenAlex, Gudrun Daxner-Höck has authored 49 papers receiving a total of 954 indexed citations (citations by other indexed papers that have themselves been cited), including 43 papers in Paleontology, 22 papers in Ecology and 12 papers in Geometry and Topology. Recurrent topics in Gudrun Daxner-Höck's work include Evolution and Paleontology Studies (39 papers), Animal Ecology and Behavior Studies (15 papers) and Morphological variations and asymmetry (12 papers). Gudrun Daxner-Höck is often cited by papers focused on Evolution and Paleontology Studies (39 papers), Animal Ecology and Behavior Studies (15 papers) and Morphological variations and asymmetry (12 papers). Gudrun Daxner-Höck collaborates with scholars based in Austria, Russia and Sweden. Gudrun Daxner-Höck's co-authors include Mathias Harzhauser, Werner E. Piller, P. Mein, Hans de Bruijn, Demchig Badamgarav, Norbert Schmidt-Kittler, Margarita A. Erbajeva, Remmert Daams, Volker Fahlbusch and D.F. Mayhew and has published in prestigious journals such as PLoS ONE, Scientific Reports and Computers & Geosciences.

In The Last Decade

Gudrun Daxner-Höck

47 papers receiving 865 citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Gudrun Daxner-Höck 762 349 276 245 213 49 954
Jérôme Prieto 693 0.9× 336 1.0× 167 0.6× 203 0.8× 209 1.0× 68 872
Marguerite Hugueney 783 1.0× 455 1.3× 265 1.0× 265 1.1× 264 1.2× 72 1.1k
M. Freudenthal 943 1.2× 532 1.5× 257 0.9× 294 1.2× 341 1.6× 49 1.0k
Fabrice Lihoreau 897 1.2× 444 1.3× 152 0.6× 334 1.4× 345 1.6× 62 1.1k
Wei Dong 612 0.8× 237 0.7× 219 0.8× 118 0.5× 325 1.5× 70 982
Gerçek Saraç 449 0.6× 223 0.6× 237 0.9× 207 0.8× 139 0.7× 40 903
Jorge Agustı́ 902 1.2× 324 0.9× 476 1.7× 174 0.7× 531 2.5× 30 1.2k
S. Mahmood Raza 829 1.1× 466 1.3× 195 0.7× 347 1.4× 226 1.1× 22 1.1k
Jean‐Loup Welcomme 873 1.1× 341 1.0× 124 0.4× 414 1.7× 203 1.0× 33 1.1k
Cecilia M. Deschamps 800 1.0× 368 1.1× 215 0.8× 447 1.8× 271 1.3× 43 1.1k

Countries citing papers authored by Gudrun Daxner-Höck

Since Specialization
Citations

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

Fields of papers citing papers by Gudrun Daxner-Höck

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Gudrun Daxner-Höck. 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 Gudrun Daxner-Höck. The network helps show where Gudrun Daxner-Höck may publish in the future.

Co-authorship network of co-authors of Gudrun Daxner-Höck

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

All Works

Loading papers...

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.

Explore authors with similar magnitude of impact

Rankless by CCL
2026