Danny Rojas

28 papers receiving 744 citations

Peers

Danny Rojas
Comparison fields: 5 of 57
  • Ecological Modeling 176
  • Paleontology 223
  • Ecology, Evolution, Behavior and Systematics 550
  • Developmental Biology 41
  • Ecology 232
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Pagel United Kingdom
Gary N. Bronner South Africa
Paulina D. Jenkins United Kingdom
João F. R. Tonini United States
Colleen M. Ingram United States
Robert E. Bleiweiss United States
Rodrigo Barbosa Ferreira Brazil
Maria Nazareth Ferreira da Silva Brazil
Anang S. Achmadi Indonesia
Nicholas R. Friedman Japan
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Citations per field
00.5×10×20×30×43.5×
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Citations per year

Countries citing papers authored by Danny Rojas

Since Specialization
Citations

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

Fields of papers citing papers by Danny Rojas

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Danny Rojas, 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 Danny Rojas Line = papers co-authored together Danny Rojas links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 29 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2016156
2 2018123
3 2011101
4 201582
5 201269
6 201832
7 201121
8 201620
9 202118
10 201217
11 201316
12 201616
13 201515
14 201014
15 201313
16 202312
17 201811
18 20245
19 20225
20 20144

About Danny Rojas

Danny Rojas is a scholar working on Paleontology, Ecology, Evolution, Behavior and Systematics, Ecological Modeling, Genetics and Global and Planetary Change, having authored 29 papers that have together received 766 indexed citations. Recurring topics across this work include Evolution and Paleontology Studies (15 papers), Bat Biology and Ecology Studies (11 papers), Species Distribution and Climate Change (7 papers), Plant and animal studies (7 papers), Genetic diversity and population structure (6 papers), Amphibian and Reptile Biology (4 papers), Plant Parasitism and Resistance (3 papers) and Plant and Fungal Species Descriptions (2 papers). The work is most often cited by research in Ecological Modeling (176 citations), Paleontology (223 citations), Ecology, Evolution, Behavior and Systematics (550 citations), Developmental Biology (41 citations) and Ecology (232 citations). Danny Rojas has collaborated with scholars based in Portugal, United States and Colombia. Frequent co-authors include Liliana M. Dávalos, Luis E. Salido Navarro, Omar Warsi, Victoria Ferrero, Carlos Manoel Da Fonseca, María João Ramos Pereira, Giuseppe Donati, Luca Santini, Erich Arnold Fischer and Julio C. Alvarez. Their work appears in journals such as Journal of Biogeography, Journal of Evolutionary Biology, Biology Letters, Proceedings of the Royal Society B Biological Sciences and Systematic Botany.

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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