A. M. Gago
- Computer Networks and Communications top 0.5%
- Electrical and Electronic Engineering top 10%
- Nuclear and High Energy Physics top 5%
- Artificial Intelligence top 5%
- Statistical and Nonlinear Physics top 5%
- Co-authors
- Ibrahim MattaJohn W. ByersAnukool LakhinaKavé SalamatianNina TaftChristophe DiotSupratik BhattacharyyaR. Zukanovich Funchal
- Topics
- Neutrino Physics Research (32 papers)Particle physics theoretical and experimental studies (25 papers)Astrophysics and Cosmic Phenomena (19 papers)
In The Last Decade
A. M. Gago
52 papers receiving 2.1k citations
Hit Papers
Peers
Comparison fields: 5 of 99
- Computer Networks and Communications 1.5k
- Electrical and Electronic Engineering 508
- Nuclear and High Energy Physics 441
- Artificial Intelligence 267
- Statistical and Nonlinear Physics 199
Countries citing papers authored by A. M. Gago
This map shows the geographic impact of A. M. Gago'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 A. M. Gago with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites A. M. Gago more than expected).
Fields of papers citing papers by A. M. Gago
This network shows the impact of papers produced by A. M. Gago. 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 A. M. Gago. The network helps show where A. M. Gago may publish in the future.
Co-authorship network of co-authors of A. M. Gago
This figure shows the co-authorship network connecting the top 25 collaborators of A. M. Gago. A scholar is included among the top collaborators of A. M. Gago 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 A. M. Gago. A. M. Gago 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 | 1 | |
| 3 | 1 | |
| 4 | 7 | |
| 5 | 6 | |
| 6 | Revisiting quantum decoherence in the matter neutrino oscillation framework | 3 |
| 7 | 1 | |
| 8 | 14 | |
| 9 | 26 | |
| 10 | 1 | |
| 11 | Simulation of the V0A Detector | 0 |
| 12 | Super-Kamiokande-Iにおける太陽ニュートリノの昼夜及び季節変動の精密測定 | 15 |
| 13 | Super-Kamiokande-Iでの太陽からの ν e の探査 | 2 |
| 14 | Super-Kamiokande-Iにおける太陽ニュートリノフラックスの周期変調の探査 | 0 |
| 15 | 38 | |
| 16 | BRITE: an approach to universal topology generationbreakdown → | 866 |
| 17 | 128 | |
| 18 | 9 | |
| 19 | 8 | |
| 20 | 11 |
About A. M. Gago
A. M. Gago is a scholar working on Nuclear and High Energy Physics, Computer Networks and Communications and Statistical and Nonlinear Physics, having authored 55 papers that have together received 2.3k indexed citations. Recurring topics across this work include Neutrino Physics Research (32 papers), Particle physics theoretical and experimental studies (25 papers) and Astrophysics and Cosmic Phenomena (19 papers). The work is most often cited by research in Computer Networks and Communications (1.5k citations), Nuclear and High Energy Physics (441 citations) and Computational Mathematics (10 citations). A. M. Gago has collaborated with scholars based in Peru, Spain and Brazil. Frequent co-authors include Ibrahim Matta, John W. Byers, Anukool Lakhina, Kavé Salamatian, Nina Taft, Christophe Diot, Supratik Bhattacharyya, R. Zukanovich Funchal, H. Nunokawa and Joel Jones-Pérez. Their work appears in journals such as Physical Review Letters, Physics Letters B and Journal of High Energy 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.