Paul Cueva
Impact in
- Structural Biology top 5%
- Advanced Electron Microscopy Techniques and Applications
- Surfaces, Coatings and Films top 10%
- Electron and X-Ray Spectroscopy Techniques
Papers in
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- Superconducting Materials and Applications 4
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- Electronic and Structural Properties of Oxides 4
- Machine Learning in Materials Science 2
- Co-authors
- David A. Muller (17 shared papers)Yimo Han (2 shared papers)Darrell G. Schlom (3 shared papers)Nicholas R. Jungwirth (1 shared paper)Yanxin Ji (1 shared paper)Hussain Alsalman (1 shared paper)Jeonghyun Hwang (1 shared paper)Gregory D. Fuchs (1 shared paper)
- Journals
- Microscopy and Microanalysis (7 papers)ACS Nano (1 paper)Ultramicroscopy (1 paper)Nature Communications (1 paper)Nano Letters (1 paper)
- Partner nations
- United StatesSaudi ArabiaGermany
In The Last Decade
Paul Cueva
17 papers receiving 309 citations
Peers
Comparison fields: 5 of 31
- Structural Biology 67
- Surfaces, Coatings and Films 54
- Materials Chemistry 213
- Condensed Matter Physics 35
- Electronic, Optical and Magnetic Materials 54
Countries citing papers authored by Paul Cueva
This map shows the geographic impact of Paul Cueva'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 Paul Cueva with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Paul Cueva more than expected).
Fields of papers citing papers by Paul Cueva
This network shows the impact of papers produced by Paul Cueva. 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 Paul Cueva. The network helps show where Paul Cueva may publish in the future.
Co-authors
The 25 scholars most cited alongside Paul Cueva, 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 | 101 | |
| 2 | 2018 | 84 | |
| 3 | 2020 | 46 | |
| 4 | 2015 | 45 | |
| 5 | 2012 | 9 | |
| 6 | 2018 | 6 | |
| 7 | 2013 | 5 | |
| 8 | 2014 | 3 | |
| 9 | 2018 | 3 | |
| 10 | 2018 | 3 | |
| 11 | 2012 | 2 | |
| 12 | 2018 | 1 | |
| 13 | 2011 | 1 | |
| 14 | 2017 | 1 | |
| 15 | 2017 | 1 | |
| 16 | 2019 | 1 | |
| 17 | 2019 | 1 |
About Paul Cueva
Paul Cueva is a scholar working on Biomedical Engineering, Materials Chemistry, Atomic and Molecular Physics, and Optics, Aerospace Engineering and Surfaces, Coatings and Films, having authored 17 papers that have together received 313 indexed citations. Recurring topics across this work include Electron and X-Ray Spectroscopy Techniques (4 papers), Particle accelerators and beam dynamics (4 papers), Electronic and Structural Properties of Oxides (4 papers), Superconducting Materials and Applications (4 papers), Advanced Electron Microscopy Techniques and Applications (3 papers), Metal and Thin Film Mechanics (2 papers), Machine Learning in Materials Science (2 papers) and Force Microscopy Techniques and Applications (2 papers). The work is most often cited by research in Structural Biology (67 citations), Surfaces, Coatings and Films (54 citations), Materials Chemistry (213 citations), Condensed Matter Physics (35 citations) and Electronic, Optical and Magnetic Materials (54 citations). Paul Cueva has collaborated with scholars based in United States, Saudi Arabia and Germany. Frequent co-authors include David A. Muller, Yimo Han, Darrell G. Schlom, Nicholas R. Jungwirth, Yanxin Ji, Hussain Alsalman, Jeonghyun Hwang, Gregory D. Fuchs, Brian Calderon and Michael G. Spencer. Their work appears in journals such as Microscopy and Microanalysis, ACS Nano, Ultramicroscopy, Nature Communications and Nano Letters.
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.