D. Pacheco
Impact in
- Astronomy and Astrophysics top 10%
- Solar and Space Plasma Dynamics
- Ionosphere and magnetosphere dynamics
- Astro and Planetary Science
- Gamma-ray bursts and supernovae
- Stellar, planetary, and galactic studies
-
- Nuclear Physics and Applications
- Radiation Detection and Scintillator Technologies
Papers in
-
- Solar and Space Plasma Dynamics 10
- Ionosphere and magnetosphere dynamics 7
- Astro and Planetary Science 2
- Gamma-ray bursts and supernovae 2
-
- Solar Radiation and Photovoltaics 4
- Co-authors
- A. Aran (4 shared papers)B. Sanahuja (1 shared paper)Ioannis A. Daglis (1 shared paper)A. Anastasiadis (1 shared paper)Giorgos Giannopoulos (1 shared paper)Athanasios Papaioannou (1 shared paper)N. Agueda (2 shared papers)D. Lario (2 shared papers)
- Journals
- Astronomy and Astrophysics (5 papers)Journal of Space Weather and Space Climate (2 papers)Solar Physics (1 paper)The Astrophysical Journal (1 paper)National Science Review (1 paper)
- Partner nations
- GermanyUnited StatesSpain
In The Last Decade
D. Pacheco
12 papers receiving 92 citations
Peers
Comparison fields: 5 of 28
- Astronomy and Astrophysics 96
- Radiation 13
- Nuclear and High Energy Physics 14
- Artificial Intelligence 24
- Geochemistry and Petrology 4
Countries citing papers authored by D. Pacheco
This map shows the geographic impact of D. Pacheco'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 D. Pacheco with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites D. Pacheco more than expected).
Fields of papers citing papers by D. Pacheco
This network shows the impact of papers produced by D. Pacheco. 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 D. Pacheco. The network helps show where D. Pacheco may publish in the future.
Co-authors
The 25 scholars most cited alongside D. Pacheco, 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 | 2021 | 30 | |
| 2 | 2023 | 20 | |
| 3 | 2006 | 17 | |
| 4 | 2023 | 11 | |
| 5 | 2017 | 9 | |
| 6 | 2019 | 8 | |
| 7 | 2024 | 7 | |
| 8 | 2025 | 5 | |
| 9 | 2020 | 5 | |
| 10 | 2023 | 3 | |
| 11 | 2022 | 2 | |
| 12 | 2025 | 1 |
About D. Pacheco
D. Pacheco is a scholar working on Astronomy and Astrophysics, Artificial Intelligence, Pulmonary and Respiratory Medicine, Social Psychology and Ecology, having authored 12 papers that have together received 118 indexed citations. Recurring topics across this work include Solar and Space Plasma Dynamics (10 papers), Ionosphere and magnetosphere dynamics (7 papers), Solar Radiation and Photovoltaics (4 papers), Radiation Therapy and Dosimetry (2 papers), Astro and Planetary Science (2 papers), Gamma-ray bursts and supernovae (2 papers), Avian ecology and behavior (1 paper) and Photovoltaic System Optimization Techniques (1 paper). The work is most often cited by research in Astronomy and Astrophysics (96 citations), Radiation (13 citations), Nuclear and High Energy Physics (14 citations), Artificial Intelligence (24 citations) and Geochemistry and Petrology (4 citations). D. Pacheco has collaborated with scholars based in Germany, United States and Spain. Frequent co-authors include A. Aran, B. Sanahuja, Ioannis A. Daglis, A. Anastasiadis, Giorgos Giannopoulos, Athanasios Papaioannou, N. Agueda, D. Lario, J. Rodrı́guez-Pacheco and Zigong Xu. Their work appears in journals such as Astronomy and Astrophysics, Journal of Space Weather and Space Climate, Solar Physics, The Astrophysical Journal and National Science Review.
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.