Moisés Expósito‐Alonso

3.9k citations
33 papers · 1.5k indexed · 3 hit papers · h-index 15

Moisés Expósito‐Alonso

30 papers receiving 1.5k citations

Hit Papers

Genetic diversity loss in the Anthropocene128202020262022202450100150

Peers

Moisés Expósito‐Alonso
Comparison fields: 5 of 91
  • Ecological Modeling 378
  • Genetics 662
  • Nature and Landscape Conservation 212
  • Ecology, Evolution, Behavior and Systematics 317
  • Plant Science 494
Replace Alicia Mastretta‐Yanes with:
Alicia Mastretta‐Yanes Mexico
Nicolas C. Rochette United States
Florian Alberto France
Tanja Pyhäjärvi Finland
Jordan B. Bemmels United States
Alejandra Moreno‐Letelier Mexico
Brenna R. Forester United States
Sariel Hübner Israel
Yann Surget‐Groba France
Jasmine K. Janes Canada
Moisés Expósito‐Alonso relative to Alicia Mastretta‐Yanes Mexico Alicia Mastretta‐Yanes's profile →
Citations per field
00.5×3.9×
Alicia Mastretta‐Yanes · 1×
Citations per year

Countries citing papers authored by Moisés Expósito‐Alonso

Since Specialization
Citations

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

Fields of papers citing papers by Moisés Expósito‐Alonso

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Moisés Expósito‐Alonso. 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 Moisés Expósito‐Alonso. The network helps show where Moisés Expósito‐Alonso may publish in the future.

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20250
2 20250
3 20255
4 20252
5 202411
6 20243
7 20249
8 20235
9 202313
10 202219
11 20228
12 202114
13 202165
14 2021126
15
Using Taxonomically-Informed Convolutional Neural Networks To Predict Plant Biodiversity Across California From High-Resolution Satellite Imagery Data
20201
16 201928
17 201862
18 201891
19 201832
20 2017138

About Moisés Expósito‐Alonso

Moisés Expósito‐Alonso is a scholar working on Ecological Modeling, Nature and Landscape Conservation and Genetics, having authored 33 papers that have together received 1.5k indexed citations. Recurring topics across this work include Species Distribution and Climate Change (14 papers), Genetic diversity and population structure (12 papers), Ecology and Vegetation Dynamics Studies (6 papers), Genomics and Phylogenetic Studies (4 papers), Evolution and Genetic Dynamics (4 papers), Remote Sensing in Agriculture (3 papers), Animal Behavior and Reproduction (3 papers) and Environmental DNA in Biodiversity Studies (3 papers). The work is most often cited by research in Ecological Modeling (378 citations), Genetics (662 citations) and Nature and Landscape Conservation (212 citations). Moisés Expósito‐Alonso has collaborated with scholars based in United States, Germany and France. Frequent co-authors include Detlef Weigel, Hernán A. Burbano, Christian Rellstab, Stephen R. Keller, Thibaut Capblancq, Matthew C. Fitzpatrick, Rachael A. Bay, Benjamin Dauphin, François Vasseur and Wei Ding. Their work appears in journals such as Nature, Science and Cell.

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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2026