Erick Mata‐Montero

755 citations
25 papers · 479 · h-index 9

Impact in

Papers in

Erick Mata‐Montero

23 papers receiving 467 citations

Peers

Erick Mata‐Montero
Comparison fields: 5 of 74
  • Ecological Modeling 115
  • Plant Science 229
  • Analytical Chemistry 46
  • Ecology 100
  • Environmental Engineering 50
Replace Jonathan Y. Clark with:
Jonathan Y. Clark United Kingdom
Mauro dos Santos de Arruda Brazil
Hervé Goëau France
Youjie Zhao China
Ziyuan Hao China
Dewei Wu China
Julien Champ France
Jordan Ubbens Canada
James Cope United Kingdom
José San Martín Chile
Erick Mata‐Montero relative to Jonathan Y. Clark United Kingdom Jonathan Y. Clark's profile →
Citations per field
00.5×2.8×
Jonathan Y. Clark · 1×
Citations per year

Countries citing papers authored by Erick Mata‐Montero

Since Specialization
Citations

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

Fields of papers citing papers by Erick Mata‐Montero

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Erick Mata‐Montero. 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 Erick Mata‐Montero. The network helps show where Erick Mata‐Montero may publish in the future.

Co-authors

The 17 scholars most cited alongside Erick Mata‐Montero, 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 Erick Mata‐Montero Line = papers co-authored together Erick Mata‐Montero links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 25 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2017166
2 202093
3 201950
4 202037
5 202029
6 202216
7 201815
8 201812
9 201811
10 20158
11 20168
12 20196
13 19916
14 20176
15 20184
16 20183
17 20202
18 20182
19
Biovisualizador: Visualizando los anfibios de Costa Rica
20091
20
Domain Adaptation in the Context of Herbarium Collections: A submission to PlantCLEF 2020.
20201

About Erick Mata‐Montero

Erick Mata‐Montero is a scholar working on Plant Science, Ecological Modeling, Organic Chemistry, Ecology, Evolution, Behavior and Systematics and Environmental Engineering, having authored 25 papers that have together received 479 indexed citations. Recurring topics across this work include Smart Agriculture and AI (9 papers), Species Distribution and Climate Change (7 papers), Remote Sensing and LiDAR Applications (6 papers), Wood and Agarwood Research (6 papers), Plant and animal studies (5 papers), Data Visualization and Analytics (3 papers), Spectroscopy and Chemometric Analyses (3 papers) and Date Palm Research Studies (2 papers). The work is most often cited by research in Ecological Modeling (115 citations), Plant Science (229 citations), Analytical Chemistry (46 citations), Ecology (100 citations) and Environmental Engineering (50 citations). Erick Mata‐Montero has collaborated with scholars based in Costa Rica, France and United States. Frequent co-authors include Hervé Goëau, Pierre Bonnet, Alexis Joly, Julien Champ, Dagoberto Arias‐Aguilar, Juan Carlos Valverde, Elizabeth R. Ellwood, Gil Nelson, Pamela S. Soltis and Susan J. Mazer. Their work appears in journals such as Applications in Plant Sciences, Frontiers in Plant Science, BMC Evolutionary Biology, Networks and PeerJ Computer Science.

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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