Jorge de Blas
- Nuclear and High Energy Physics top 2%
- Astronomy and Astrophysics top 5%
- Artificial Intelligence
- Electrical and Electronic Engineering
- Computer Networks and Communications
- Co-authors
- M. Pérez-VictoriaF. del ÁguilaJosé SantiagoM. ChalaJuan Carlos CriadoM. PieriniL. SilvestriniChristophe Grojean
- Topics
- Particle physics theoretical and experimental studies (30 papers)Cosmology and Gravitation Theories (14 papers)Dark Matter and Cosmic Phenomena (10 papers)
- Journals
- Physical Review LettersSHILAP Revista de lepidopterologíaPhysics Letters B
- Partner nations
- SpainUnited StatesItaly
In The Last Decade
Jorge de Blas
32 papers receiving 1.3k citations
Hit Papers
Peers
Comparison fields: 5 of 34
- Nuclear and High Energy Physics 1.3k
- Astronomy and Astrophysics 303
- Artificial Intelligence 62
- Electrical and Electronic Engineering 39
- Computer Networks and Communications 26
Countries citing papers authored by Jorge de Blas
This map shows the geographic impact of Jorge de Blas'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 Jorge de Blas with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jorge de Blas more than expected).
Fields of papers citing papers by Jorge de Blas
This network shows the impact of papers produced by Jorge de Blas. 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 Jorge de Blas. The network helps show where Jorge de Blas may publish in the future.
Co-authorship network of co-authors of Jorge de Blas
This figure shows the co-authorship network connecting the top 25 collaborators of Jorge de Blas. A scholar is included among the top collaborators of Jorge de Blas 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 Jorge de Blas. Jorge de Blas is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 4 | |
| 3 | 67 | |
| 4 | 18 | |
| 5 | 2 | |
| 6 | HEPfit: a Code for the Combination of Indirect and Direct Constraints on High Energy Physics Models | 85 |
| 7 | 61 | |
| 8 | 57 | |
| 9 | 14 | |
| 10 | 163 | |
| 11 | 3 | |
| 12 | Combining searches of Z ′ and W ′ bosons | 18 |
| 13 | 54 | |
| 14 | 5 | |
| 15 | 62 | |
| 16 | 53 | |
| 17 | 3 | |
| 18 | 6 | |
| 19 | 1 | |
| 20 | Tools for Deconstructing Gauge Theories in AdS5 | 13 |
About Jorge de Blas
Jorge de Blas is a scholar working on Nuclear and High Energy Physics, Astronomy and Astrophysics and Artificial Intelligence, having authored 32 papers that have together received 1.3k indexed citations. Recurring topics across this work include Particle physics theoretical and experimental studies (30 papers), Cosmology and Gravitation Theories (14 papers) and Dark Matter and Cosmic Phenomena (10 papers). The work is most often cited by research in Nuclear and High Energy Physics (1.3k citations), Astronomy and Astrophysics (303 citations) and Artificial Intelligence (62 citations). Jorge de Blas has collaborated with scholars based in Spain, United States and Italy. Frequent co-authors include M. Pérez-Victoria, F. del Águila, José Santiago, M. Chala, Juan Carlos Criado, M. Pierini, L. Silvestrini, Christophe Grojean, Laura Reina and Claudius Krause. Their work appears in journals such as Physical Review Letters, SHILAP Revista de lepidopterología and Physics Letters 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.