Eric Mates‐Torres
Impact in
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- Electrocatalysts for Energy Conversion
- Advanced Photocatalysis Techniques
- CO2 Reduction Techniques and Catalysts
- Electrochemistry top 10%
- Electrochemical Analysis and Applications
Papers in
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- Electrocatalysts for Energy Conversion 3
- CO2 Reduction Techniques and Catalysts 2
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- Machine Learning in Materials Science 2
- Nanocluster Synthesis and Applications 2
- Co-authors
- Max García‐Melchor (7 shared papers)Wolfgang Schmitt (1 shared paper)Michael Craig (1 shared paper)Joaquín Soriano‐López (1 shared paper)Serban N. Stamatin (2 shared papers)K. Fleischer (2 shared papers)Carlota Domínguez (2 shared papers)T. S. Perova (2 shared papers)
In The Last Decade
Eric Mates‐Torres
13 papers receiving 522 citations
Peers
Comparison fields: 5 of 50
- Renewable Energy, Sustainability and the Environment 352
- Electrochemistry 73
- Materials Chemistry 217
- Electrical and Electronic Engineering 257
- Process Chemistry and Technology 11
Countries citing papers authored by Eric Mates‐Torres
This map shows the geographic impact of Eric Mates‐Torres'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 Eric Mates‐Torres with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Eric Mates‐Torres more than expected).
Fields of papers citing papers by Eric Mates‐Torres
This network shows the impact of papers produced by Eric Mates‐Torres. 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 Eric Mates‐Torres. The network helps show where Eric Mates‐Torres may publish in the future.
Co-authors
The 25 scholars most cited alongside Eric Mates‐Torres, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2019 | 227 | |
| 2 | 2019 | 96 | |
| 3 | 2019 | 82 | |
| 4 | 2021 | 44 | |
| 5 | 2022 | 24 | |
| 6 | 2022 | 16 | |
| 7 | 2023 | 16 | |
| 8 | 2023 | 8 | |
| 9 | 2024 | 7 | |
| 10 | 2021 | 4 | |
| 11 | 2021 | 3 | |
| 12 | 2019 | 3 | |
| 13 | 2025 | 1 | |
| 14 | 2025 | 0 | |
| 15 | 2025 | 0 |
About Eric Mates‐Torres
Eric Mates‐Torres is a scholar working on Renewable Energy, Sustainability and the Environment, Materials Chemistry, Electrical and Electronic Engineering, Biomedical Engineering and Organic Chemistry, having authored 15 papers that have together received 531 indexed citations. Recurring topics across this work include Surface Chemistry and Catalysis (3 papers), Electrochemical Analysis and Applications (3 papers), Electrocatalysts for Energy Conversion (3 papers), Molecular spectroscopy and chirality (2 papers), Advanced Chemical Physics Studies (2 papers), Machine Learning in Materials Science (2 papers), Nanocluster Synthesis and Applications (2 papers) and CO2 Reduction Techniques and Catalysts (2 papers). The work is most often cited by research in Renewable Energy, Sustainability and the Environment (352 citations), Electrochemistry (73 citations), Materials Chemistry (217 citations), Electrical and Electronic Engineering (257 citations) and Process Chemistry and Technology (11 citations). Eric Mates‐Torres has collaborated with scholars based in Ireland, Spain and Italy. Frequent co-authors include Max García‐Melchor, Wolfgang Schmitt, Michael Craig, Joaquín Soriano‐López, Serban N. Stamatin, K. Fleischer, Carlota Domínguez, T. S. Perova, Paula E. Colavita and James A. Behan. Their work appears in journals such as Chemical Science, Physical Chemistry Chemical Physics, Small, Journal of Applied Crystallography and Dalton Transactions.
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.