Maëva J. Orliac

2.1k total citations
75 papers, 1.2k citations indexed

About

Maëva J. Orliac is a scholar working on Paleontology, Ecology, Evolution, Behavior and Systematics and Ecology. According to data from OpenAlex, Maëva J. Orliac has authored 75 papers receiving a total of 1.2k indexed citations (citations by other indexed papers that have themselves been cited), including 65 papers in Paleontology, 44 papers in Ecology, Evolution, Behavior and Systematics and 37 papers in Ecology. Recurrent topics in Maëva J. Orliac's work include Evolution and Paleontology Studies (64 papers), Bat Biology and Ecology Studies (39 papers) and Marine animal studies overview (18 papers). Maëva J. Orliac is often cited by papers focused on Evolution and Paleontology Studies (64 papers), Bat Biology and Ecology Studies (39 papers) and Marine animal studies overview (18 papers). Maëva J. Orliac collaborates with scholars based in France, United States and Belgium. Maëva J. Orliac's co-authors include Pierre‐Olivier Antoine, Stéphane Ducrocq, Fabrice Lihoreau, Maureen A. O’Leary, Emmanuel Gilissen, Laurent Marivaux, Julien Benoît, Renaud Lebrun, Rodolfo Salas‐Gismondi and Julia V. Tejada‐Lara and has published in prestigious journals such as Nature, Proceedings of the National Academy of Sciences and PLoS ONE.

In The Last Decade

Maëva J. Orliac

72 papers receiving 1.2k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Maëva J. Orliac France 18 985 603 520 166 165 75 1.2k
Irina Ruf Germany 21 910 0.9× 512 0.8× 442 0.8× 111 0.7× 129 0.8× 59 1.3k
Loïc Costeur Switzerland 21 917 0.9× 316 0.5× 462 0.9× 240 1.4× 102 0.6× 84 1.2k
Rodolphe Tabuce France 23 1.3k 1.3× 570 0.9× 422 0.8× 225 1.4× 225 1.4× 117 1.6k
Julia V. Tejada‐Lara Peru 16 862 0.9× 392 0.7× 414 0.8× 167 1.0× 195 1.2× 30 1.0k
Fabrice Lihoreau France 19 900 0.9× 334 0.6× 447 0.9× 346 2.1× 139 0.8× 62 1.2k
Guillaume Billet France 24 1.5k 1.6× 869 1.4× 527 1.0× 325 2.0× 229 1.4× 64 1.8k
Renaud Lebrun France 19 658 0.7× 326 0.5× 271 0.5× 158 1.0× 236 1.4× 49 1.0k
Daisuke Koyabu Japan 16 494 0.5× 341 0.6× 351 0.7× 94 0.6× 102 0.6× 73 971
Eli Amson Germany 22 813 0.8× 390 0.6× 400 0.8× 115 0.7× 94 0.6× 58 1.1k
Inés Horovitz United States 17 899 0.9× 490 0.8× 251 0.5× 129 0.8× 208 1.3× 26 1.1k

Countries citing papers authored by Maëva J. Orliac

Since Specialization
Citations

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

Fields of papers citing papers by Maëva J. Orliac

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Maëva J. Orliac

This figure shows the co-authorship network connecting the top 25 collaborators of Maëva J. Orliac. A scholar is included among the top collaborators of Maëva J. Orliac 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 Maëva J. Orliac. Maëva J. Orliac 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.
Gaudin, Timothy J., et al.. (2026). Brain drain: exceptional pattern of calvarial venation in pangolins and its phylogenetic significance for Ferae. Zoological Journal of the Linnean Society. 206(3). 1 indexed citations
3.
Orliac, Maëva J., et al.. (2024). Digital restoration of the snout of Khirtharia inflata (Raoellidae,  Artiodactyla) from the middle Eocene of northwest Himalaya. SPIRE - Sciences Po Institutional REpository. 10(2). e224–e224. 3 indexed citations
4.
Smith, Thierry, et al.. (2024). The Endocranial Cast of Khirtharia (Artiodactyla, Raoellidae) Provides New Insights into the Earliest Evolution of the Cetacean Brain. Brain Behavior and Evolution. 100(2). 80–92. 1 indexed citations
5.
Smith, Thierry, et al.. (2024). The cranium and dentition of Khirtharia (Artiodactyla, Raoellidae): new data on a stem taxon to Cetacea. Journal of Mammalian Evolution. 31(2). 2 indexed citations
6.
Orliac, Maëva J., et al.. (2023). 3D models related to the publication: Anatomical correlates and nomenclature of the chiropteran endocranial cast. 9(2). e193–e193. 1 indexed citations
7.
Condamine, Fabien L., et al.. (2023). Drivers of the artiodactyl turnover in insular western Europe at the Eocene–Oligocene Transition. Proceedings of the National Academy of Sciences. 120(52). e2309945120–e2309945120. 9 indexed citations
8.
Hand, Suzanne J., et al.. (2023). A 50-million-year-old, three-dimensionally preserved bat skull supports an early origin for modern echolocation. Current Biology. 33(21). 4624–4640.e21. 15 indexed citations
9.
Orliac, Maëva J., et al.. (2023). 3D models related to the publication: A 50-million-year-old, three-dimensionally preserved bat skull supports an early origin for modern echolocation. SPIRE - Sciences Po Institutional REpository. 9(4). e217–e217. 1 indexed citations
10.
Araújo, Ricardo, Julien Benoît, Alexander Stoessel, et al.. (2022). Inner ear biomechanics reveals a Late Triassic origin for mammalian endothermy. Nature. 607(7920). 726–731. 38 indexed citations
11.
Orliac, Maëva J., et al.. (2022). Endocranial Casts of Camelops hesternus and Palaeolama sp.: New Insights into the Recent History of the Camelid Brain. Brain Behavior and Evolution. 98(2). 107–120. 1 indexed citations
13.
Orliac, Maëva J. & Guillaume Billet. (2016). Fallen in a dead ear: intralabyrinthine preservation of stapes in fossil artiodactyls. HAL (Le Centre pour la Communication Scientifique Directe). 40(1). e3–e3. 12 indexed citations
14.
Orliac, Maëva J., Franck Guy, & Renaud Lebrun. (2014). Osteological connexions of the petrosal bone of the extant Hippopotamidae Hippopotamus amphibius and Choeropsis liberiensis. INRIA a CCSD electronic archive server. 1(1). e1–e1. 7 indexed citations
15.
Orliac, Maëva J., Sandrine Ladevèze, Philip D. Gingerich, Renaud Lebrun, & Thierry Smith. (2014). Endocranial morphology of PalaeocenePlesiadapis tricuspidensand evolution of the early primate brain. Proceedings of the Royal Society B Biological Sciences. 281(1781). 20132792–20132792. 31 indexed citations
16.
Orliac, Maëva J., et al.. (2014). The inner ear morphology of the ‘condylarthran’Hyopsodus lepidus. Historical Biology. 27(8). 957–969. 14 indexed citations
17.
Orliac, Maëva J., et al.. (2013). Specialization for amphibiosis in Brachyodus onoideus (Artiodactyla, Hippopotamoidea) from the Early Miocene of France. Swiss Journal of Geosciences. 106(2). 265–278. 15 indexed citations
18.
Antoine, Pierre‐Olivier, Maëva J. Orliac, İnan Ulusoy, et al.. (2012). A Rhinocerotid Skull Cooked-to-Death in a 9.2 Ma-Old Ignimbrite Flow of Turkey. PLoS ONE. 7(11). e49997–e49997. 13 indexed citations
19.
Orliac, Maëva J., Julien Benoît, & Maureen A. O’Leary. (2012). The inner ear ofDiacodexis, the oldest artiodactyl mammal. Journal of Anatomy. 221(5). 417–426. 46 indexed citations
20.
Antoine, Pierre‐Olivier, Grégoire Métais, Maëva J. Orliac, et al.. (2011). A new late Early Oligocene vertebrate fauna from Moissac, South-West France. Comptes Rendus Palevol. 10(4). 239–250. 17 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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