Lorena Vega
Impact in
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- Electrocatalysts for Energy Conversion
Papers in
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- Machine Learning in Materials Science 5
- Diamond and Carbon-based Materials Research 3
- Nanocluster Synthesis and Applications 3
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- Ion-surface interactions and analysis 6
- Co-authors
- Francesc Viñes (9 shared papers)Konstantin M. Neyman (7 shared papers)Francesc Illas (2 shared papers)Albert Bruix (2 shared papers)Hristiyan A. Aleksandrov (2 shared papers)J. Rickards (6 shared papers)Mauro Stener (2 shared papers)Yu. V. Yakovlev (1 shared paper)
In The Last Decade
Lorena Vega
16 papers receiving 325 citations
Peers
Comparison fields: 5 of 35
- Renewable Energy, Sustainability and the Environment 103
- Catalysis 39
- Materials Chemistry 231
- Electrochemistry 18
- Atmospheric Science 51
Countries citing papers authored by Lorena Vega
This map shows the geographic impact of Lorena Vega'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 Lorena Vega with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Lorena Vega more than expected).
Fields of papers citing papers by Lorena Vega
This network shows the impact of papers produced by Lorena Vega. 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 Lorena Vega. The network helps show where Lorena Vega may publish in the future.
Co-authors
The 21 scholars most cited alongside Lorena Vega, 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 | 2017 | 74 | |
| 2 | 2020 | 42 | |
| 3 | 2019 | 38 | |
| 4 | 2021 | 30 | |
| 5 | 2017 | 22 | |
| 6 | 2021 | 21 | |
| 7 | 2018 | 16 | |
| 8 | 2001 | 16 | |
| 9 | 2019 | 13 | |
| 10 | 2019 | 13 | |
| 11 | 2022 | 12 | |
| 12 | 2021 | 10 | |
| 13 | 2017 | 8 | |
| 14 | 2005 | 6 | |
| 15 | 2023 | 3 | |
| 16 | 2018 | 2 | |
| 17 | 2024 | 0 |
About Lorena Vega
Lorena Vega is a scholar working on Materials Chemistry, Computational Mechanics, Atmospheric Science, Electrical and Electronic Engineering and Atomic and Molecular Physics, and Optics, having authored 17 papers that have together received 326 indexed citations. Recurring topics across this work include Ion-surface interactions and analysis (6 papers), Machine Learning in Materials Science (5 papers), nanoparticles nucleation surface interactions (5 papers), Diamond and Carbon-based Materials Research (3 papers), Advanced Chemical Physics Studies (3 papers), Nanocluster Synthesis and Applications (3 papers), Integrated Circuits and Semiconductor Failure Analysis (3 papers) and Metal and Thin Film Mechanics (2 papers). The work is most often cited by research in Renewable Energy, Sustainability and the Environment (103 citations), Catalysis (39 citations), Materials Chemistry (231 citations), Electrochemistry (18 citations) and Atmospheric Science (51 citations). Lorena Vega has collaborated with scholars based in Spain, Mexico and Italy. Frequent co-authors include Francesc Viñes, Konstantin M. Neyman, Francesc Illas, Albert Bruix, Hristiyan A. Aleksandrov, J. Rickards, Mauro Stener, Yu. V. Yakovlev, Ivan Khalakhan and Tomáš Škála. Their work appears in journals such as The Journal of Physical Chemistry C, Materials Advances, CHINESE JOURNAL OF CATALYSIS (CHINESE VERSION), Nanomaterials and Physical Chemistry Chemical Physics.
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.