J. Pizarro
- Materials Chemistry
- Electrical and Electronic Engineering
- Atomic and Molecular Physics, and Optics
- Biomedical Engineering
- Structural Biology top 2%
- Co-authors
- Pedro L. GalindoElisa GuerreroSergio I. MolinaAndrés Yáñez EscolanoT. BenAna M. SánchezJ.Y. LavalS. Kret
- Topics
- Electron and X-Ray Spectroscopy Techniques (13 papers)Advanced Electron Microscopy Techniques and Applications (11 papers)Semiconductor Quantum Structures and Devices (8 papers)
- Partner nations
- SpainUnited StatesUnited Kingdom
In The Last Decade
J. Pizarro
33 papers receiving 547 citations
Peers
Comparison fields: 5 of 94
- Materials Chemistry 203
- Electrical and Electronic Engineering 178
- Atomic and Molecular Physics, and Optics 162
- Biomedical Engineering 129
- Structural Biology 117
Countries citing papers authored by J. Pizarro
This map shows the geographic impact of J. Pizarro'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 J. Pizarro with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites J. Pizarro more than expected).
Fields of papers citing papers by J. Pizarro
This network shows the impact of papers produced by J. Pizarro. 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 J. Pizarro. The network helps show where J. Pizarro may publish in the future.
Co-authorship network of co-authors of J. Pizarro
This figure shows the co-authorship network connecting the top 25 collaborators of J. Pizarro. A scholar is included among the top collaborators of J. Pizarro based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with J. Pizarro. J. Pizarro is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 9 | |
| 2 | 2 | |
| 3 | 8 | |
| 4 | 1 | |
| 5 | 3 | |
| 6 | 4 | |
| 7 | 7 | |
| 8 | 4 | |
| 9 | 1 | |
| 10 | 13 | |
| 11 | 17 | |
| 12 | 16 | |
| 13 | 5 | |
| 14 | 41 | |
| 15 | 232 | |
| 16 | 18 | |
| 17 | A new Meta Machine Learning (MML) method based on combining non-significant different neural networks | 1 |
| 18 | Noise derived information criterion for model selection | 1 |
| 19 | 60 | |
| 20 | A statistical model selection strategy applied to neural networks. | 13 |
About J. Pizarro
J. Pizarro is a scholar working on Structural Biology, Surfaces, Coatings and Films and Atomic and Molecular Physics, and Optics, having authored 35 papers that have together received 562 indexed citations. Recurring topics across this work include Electron and X-Ray Spectroscopy Techniques (13 papers), Advanced Electron Microscopy Techniques and Applications (11 papers) and Semiconductor Quantum Structures and Devices (8 papers). The work is most often cited by research in Structural Biology (117 citations), Surfaces, Coatings and Films (95 citations) and Atomic and Molecular Physics, and Optics (162 citations). J. Pizarro has collaborated with scholars based in Spain, United States and United Kingdom. Frequent co-authors include Pedro L. Galindo, Elisa Guerrero, Sergio I. Molina, Andrés Yáñez Escolano, T. Ben, Ana M. Sánchez, J.Y. Laval, S. Kret, David L. Sales and M. Herrera. Their work appears in journals such as Nano Letters, Applied Physics Letters and Physical Review B.
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.