Erick Mata‐Montero
Impact in
- Ecological Modeling top 5%
- Species Distribution and Climate Change
- Plant Science top 10%
- Smart Agriculture and AI
- Leaf Properties and Growth Measurement
Papers in
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- Smart Agriculture and AI 13
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- Species Distribution and Climate Change 9
- Co-authors
- Hervé Goëau (10 shared papers)Pierre Bonnet (9 shared papers)Alexis Joly (8 shared papers)Julien Champ (2 shared papers)Juan Carlos Valverde (7 shared papers)Dagoberto Arias‐Aguilar (7 shared papers)Susan J. Mazer (2 shared papers)Titouan Lorieul (1 shared paper)
- Journals
- Applications in Plant Sciences (3 papers)Frontiers in Plant Science (1 paper)PeerJ Computer Science (1 paper)BMC Evolutionary Biology (1 paper)Networks (1 paper)
- Partner nations
- Costa RicaFranceUnited States
In The Last Decade
Erick Mata‐Montero
30 papers receiving 563 citations
Peers
Comparison fields: 5 of 80
- Ecological Modeling 137
- Plant Science 285
- Analytical Chemistry 61
- Ecology 121
- Ecology, Evolution, Behavior and Systematics 77
Countries citing papers authored by Erick Mata‐Montero
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
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 18 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.
All Works
Showing the 20 most-cited of 32 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2017 | 180 | |
| 2 | 2020 | 96 | |
| 3 | 2019 | 52 | |
| 4 | 2020 | 39 | |
| 5 | 2016 | 36 | |
| 6 | 2020 | 31 | |
| 7 | 2018 | 19 | |
| 8 | 2022 | 17 | |
| 9 | 2018 | 15 | |
| 10 | 2018 | 12 | |
| 11 | 2018 | 11 | |
| 12 | 2016 | 10 | |
| 13 | 2015 | 9 | |
| 14 | 1991 | 8 | |
| 15 | 2017 | 8 | |
| 16 | 2019 | 6 | |
| 17 | 2018 | 5 | |
| 18 | 2020 | 4 | |
| 19 | 2018 | 3 | |
| 20 | Domain Adaptation in the Context of Herbarium Collections: A submission to PlantCLEF 2020. | 2020 | 2 |
About Erick Mata‐Montero
Erick Mata‐Montero is a scholar working on Plant Science, Ecological Modeling, Ecology, Evolution, Behavior and Systematics, Organic Chemistry and Environmental Engineering, having authored 32 papers that have together received 577 indexed citations. Recurring topics across this work include Smart Agriculture and AI (13 papers), Species Distribution and Climate Change (9 papers), Plant and animal studies (7 papers), Wood and Agarwood Research (6 papers), Remote Sensing and LiDAR Applications (6 papers), Data Visualization and Analytics (4 papers), Spectroscopy and Chemometric Analyses (4 papers) and Remote Sensing in Agriculture (3 papers). The work is most often cited by research in Ecological Modeling (137 citations), Plant Science (285 citations), Analytical Chemistry (61 citations), Ecology (121 citations) and Ecology, Evolution, Behavior and Systematics (77 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, Juan Carlos Valverde, Dagoberto Arias‐Aguilar, Susan J. Mazer, Titouan Lorieul, Elizabeth R. Ellwood and Patrick W. Sweeney. Their work appears in journals such as Applications in Plant Sciences, Frontiers in Plant Science, PeerJ Computer Science, BMC Evolutionary Biology and Networks.
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.