M. Cepeda
Impact in
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- Particle physics theoretical and experimental studies
- Dark Matter and Cosmic Phenomena
- Quantum Chromodynamics and Particle Interactions
- High-Energy Particle Collisions Research
- Particle Detector Development and Performance
- Black Holes and Theoretical Physics
- Neutrino Physics Research
- Astronomy and Astrophysics top 10%
- Cosmology and Gravitation Theories
Papers in ⓘ
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- Particle physics theoretical and experimental studies 5
- Particle Detector Development and Performance 3
- Quantum Chromodynamics and Particle Interactions 1
- Black Holes and Theoretical Physics 1
- High-Energy Particle Collisions Research 1
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- Distributed and Parallel Computing Systems 1
- Co-authors
- R. Keith Ellis (1 shared paper)E. Petit (1 shared paper)J. D’Hondt (1 shared paper)Fabio Maltoni (1 shared paper)A. Nisati (1 shared paper)Jorge de Blas (1 shared paper)Riccardo Rattazzi (1 shared paper)W. Verkerke (1 shared paper)
- Partner nations
- SpainSwitzerlandAustria
In The Last Decade
M. Cepeda
4 papers receiving 284 citations
Hit Papers
Peers
Comparison fields: 5 of 18
- Nuclear and High Energy Physics 284
- Astronomy and Astrophysics 83
- Information Systems and Management 4
- Artificial Intelligence 14
- Computer Networks and Communications 6
Countries citing papers authored by M. Cepeda
This map shows the geographic impact of M. Cepeda'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 M. Cepeda with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites M. Cepeda more than expected).
Fields of papers citing papers by M. Cepeda
This network shows the impact of papers produced by M. Cepeda. 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 M. Cepeda. The network helps show where M. Cepeda may publish in the future.
Co-authors
The 25 scholars most cited alongside M. Cepeda, 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 | Higgs Boson studies at future particle colliders Hit paper breakdown → | 2020 | 196 |
| 2 | Report from Working Group 2 | 2019 | 87 |
| 3 | 2024 | 3 | |
| 4 | 2025 | 1 | |
| 5 | 2024 | 0 |
About M. Cepeda
M. Cepeda is a scholar working on Nuclear and High Energy Physics, Computer Networks and Communications, Information Systems and Management, Hardware and Architecture and Electrical and Electronic Engineering, having authored 5 papers that have together received 287 indexed citations. Recurring topics across this work include Particle physics theoretical and experimental studies (5 papers), Particle Detector Development and Performance (3 papers), Quantum Chromodynamics and Particle Interactions (1 paper), Parallel Computing and Optimization Techniques (1 paper), Scientific Computing and Data Management (1 paper), Black Holes and Theoretical Physics (1 paper), Distributed and Parallel Computing Systems (1 paper) and High-Energy Particle Collisions Research (1 paper). The work is most often cited by research in Nuclear and High Energy Physics (284 citations), Astronomy and Astrophysics (83 citations), Information Systems and Management (4 citations), Artificial Intelligence (14 citations) and Computer Networks and Communications (6 citations). M. Cepeda has collaborated with scholars based in Spain, Switzerland and Austria. Frequent co-authors include R. Keith Ellis, E. Petit, J. D’Hondt, Fabio Maltoni, A. Nisati, Jorge de Blas, Riccardo Rattazzi, W. Verkerke, Christophe Grojean and B. Heinemann. Their work appears in journals such as Journal of High Energy Physics and Journal of Instrumentation.
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.