Juan Pavez
- Nuclear and High Energy Physics top 10%
- Artificial Intelligence top 10%
- Electrical and Electronic Engineering
- Astronomy and Astrophysics
- Computer Vision and Pattern Recognition
- Co-authors
- Gilles LouppeJohann BrehmerK. CranmerKyle CranmerHéctor AllendeJosé RodríguezJ. PonttHéctor Allende‐Cid
- Topics
- Particle physics theoretical and experimental studies (5 papers)High-Energy Particle Collisions Research (5 papers)Particle Detector Development and Performance (5 papers)
- Journals
- Proceedings of the National Academy of SciencesPhysical Review LettersSHILAP Revista de lepidopterología
- Partner nations
- ChileUnited StatesBelgium
In The Last Decade
Juan Pavez
14 papers receiving 309 citations
Peers
Comparison fields: 5 of 60
- Nuclear and High Energy Physics 187
- Artificial Intelligence 118
- Electrical and Electronic Engineering 36
- Astronomy and Astrophysics 26
- Computer Vision and Pattern Recognition 22
Countries citing papers authored by Juan Pavez
This map shows the geographic impact of Juan Pavez'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 Juan Pavez with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Juan Pavez more than expected).
Fields of papers citing papers by Juan Pavez
This network shows the impact of papers produced by Juan Pavez. 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 Juan Pavez. The network helps show where Juan Pavez may publish in the future.
Co-authorship network of co-authors of Juan Pavez
This figure shows the co-authorship network connecting the top 25 collaborators of Juan Pavez. A scholar is included among the top collaborators of Juan Pavez 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 Juan Pavez. Juan Pavez is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 6 | |
| 2 | 76 | |
| 3 | 4 | |
| 4 | 9 | |
| 5 | WriteWise: software that guides scientific writing | 1 |
| 6 | 1 | |
| 7 | 92 | |
| 8 | 88 | |
| 9 | 8 | |
| 10 | 1 | |
| 11 | 2 | |
| 12 | 8 | |
| 13 | 6 | |
| 14 | 12 |
About Juan Pavez
Juan Pavez is a scholar working on Nuclear and High Energy Physics, Artificial Intelligence and Statistics and Probability, having authored 14 papers that have together received 314 indexed citations. Recurring topics across this work include Particle physics theoretical and experimental studies (5 papers), High-Energy Particle Collisions Research (5 papers) and Particle Detector Development and Performance (5 papers). The work is most often cited by research in Nuclear and High Energy Physics (187 citations), Artificial Intelligence (118 citations) and Information Systems and Management (16 citations). Juan Pavez has collaborated with scholars based in Chile, United States and Belgium. Frequent co-authors include Gilles Louppe, Johann Brehmer, K. Cranmer, Kyle Cranmer, Héctor Allende, José Rodríguez, J. Pontt, Héctor Allende‐Cid, Felix Kling and A. Held. Their work appears in journals such as Proceedings of the National Academy of Sciences, Physical Review Letters and SHILAP Revista de lepidopterología.
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.