Luis M. Carrascal

130 papers receiving 3.6k citations

Hit Papers

Partial least squares regression as an alternative to current regression methods used in ecology 2009 · 614 citations
6142009202620142020200400600

Peers

Luis M. Carrascal
Comparison fields: 5 of 132
  • Ecological Modeling 1.2k
  • Nature and Landscape Conservation 1.2k
  • Ecology 2.3k
  • Ecology, Evolution, Behavior and Systematics 1.5k
  • Global and Planetary Change 1.3k
Replace Philip W. Atkinson with:
Philip W. Atkinson United Kingdom
Blair O. Wolf United States
Res Altwegg South Africa
W. Douglas Robinson United States
John G. Blake United States
Ian J. Burfield United Kingdom
Joseph M. Wunderle Puerto Rico
Antony W. Diamond Canada
J. Michael Reed United States
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Citations per field
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Citations per year

Countries citing papers authored by Luis M. Carrascal

Since Specialization
Citations

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

Fields of papers citing papers by Luis M. Carrascal

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Luis M. Carrascal. 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 Luis M. Carrascal. The network helps show where Luis M. Carrascal may publish in the future.

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 136 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Partial least squares regression as an alternative to current regression methods used in ecology
Hit paper breakdown →
2009614
2 2006206
3 1992133
4 200599
5 200797
6 199895
7 199190
8 200580
9 199679
10 199171
11 199369
12 200768
13 199364
14 200161
15 200759
16 199055
17 201854
18 200654
19 199953
20 200653

About Luis M. Carrascal

Luis M. Carrascal is a scholar working on Ecological Modeling, Nature and Landscape Conservation, Ecology, Ecology, Evolution, Behavior and Systematics and Global and Planetary Change, having authored 136 papers that have together received 4.0k indexed citations. Recurring topics across this work include Avian ecology and behavior (60 papers), Species Distribution and Climate Change (49 papers), Wildlife Ecology and Conservation (46 papers), Animal Behavior and Reproduction (42 papers), Ecology and Vegetation Dynamics Studies (38 papers), Amphibian and Reptile Biology (22 papers), Plant and animal studies (18 papers) and Animal Ecology and Behavior Studies (10 papers). The work is most often cited by research in Ecological Modeling (1.2k citations), Nature and Landscape Conservation (1.2k citations), Ecology (2.3k citations), Ecology, Evolution, Behavior and Systematics (1.5k citations) and Global and Planetary Change (1.3k citations). Luis M. Carrascal has collaborated with scholars based in Spain, United Kingdom and Portugal. Frequent co-authors include Ismael Galván, Òscar Gordo, David Palomino, José A. Dı́az, Javier Seoane, Eulalia Moreno, Desirée Palomino, Vicente Polo, Jaime Bosch and César L. Alonso. Their work appears in journals such as PeerJ, Ecology, Biological Conservation, Canadian Journal of Zoology and Journal of Biogeography.

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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