Daniel Casali

16 papers receiving 197 citations

Peers

Daniel Casali
Comparison fields: 5 of 33
  • Paleontology 135
  • Ecological Modeling 23
  • Ecology, Evolution, Behavior and Systematics 97
  • Ecology 78
  • Geometry and Topology 22
Replace Bruno Busnello Kubiak with:
Bruno Busnello Kubiak Brazil
Ana Paula A. Assis Brazil
Myreya Pinedo–Castro Colombia
Rocío Aguilar Australia
M. TRANIER France
Junxiao Xu China
Andrea L. Cirranello United States
M. Raquel Marchán-Rivadeneira United States
Marcia Lara United States
Valentina Segura Argentina
Daniel Casali relative to Bruno Busnello Kubiak Brazil Bruno Busnello Kubiak's profile →
Citations per field
00.5×2.8×
Bruno Busnello Kubiak · 1×
Citations per year

Countries citing papers authored by Daniel Casali

Since Specialization
Citations

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

Fields of papers citing papers by Daniel Casali

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Daniel Casali, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Daniel Casali Line = papers co-authored together Daniel Casali links everyone, so they are left out of the graph.

All Works

17 of 17 papers shown
#Work
1 201753
2 201628
3 202223
4 202215
5 202213
6 201712
7 201811
8 202010
9 20169
10 20188
11 20238
12 20226
13 20233
14 20252
15 20241
16 20251
17 20250

About Daniel Casali

Daniel Casali is a scholar working on Paleontology, Ecology, Evolution, Behavior and Systematics, Geometry and Topology, Ecology and Molecular Biology, having authored 17 papers that have together received 203 indexed citations. Recurring topics across this work include Evolution and Paleontology Studies (15 papers), Bat Biology and Ecology Studies (9 papers), Morphological variations and asymmetry (4 papers), Genomics and Phylogenetic Studies (3 papers), Animal Ecology and Behavior Studies (2 papers), Wildlife Ecology and Conservation (2 papers), Amphibian and Reptile Biology (2 papers) and Primate Behavior and Ecology (2 papers). The work is most often cited by research in Paleontology (135 citations), Ecological Modeling (23 citations), Ecology, Evolution, Behavior and Systematics (97 citations), Ecology (78 citations) and Geometry and Topology (22 citations). Daniel Casali has collaborated with scholars based in Brazil, United States and Argentina. Frequent co-authors include Fernando A. Perini, Flávia Regina Miranda, Fabrício R. Santos, Fábio A. Machado, Timothy J. Gaudin, Alberto Boscaini, Guilherme Siniciato Terra Garbino, Germán Mariano Gasparini, Mário Alberto Cozzuol and Fábio Oliveira do Nascimento. Their work appears in journals such as Palaeontology, Zoological Journal of the Linnean Society, Evolutionary Biology, Journal of Mammalogy and Mammalian Biology.

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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