D. Mockler
Impact in
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- Astrophysics and Cosmic Phenomena
- Dark Matter and Cosmic Phenomena
- Neutrino Physics Research
- Particle physics theoretical and experimental studies
- Particle Detector Development and Performance
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- Gamma-ray bursts and supernovae
- Pulsars and Gravitational Waves Research
- Radio Astronomy Observations and Technology
Papers in ⓘ
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- Dark Matter and Cosmic Phenomena 4
- Astrophysics and Cosmic Phenomena 4
- Particle Detector Development and Performance 1
- Particle physics theoretical and experimental studies 1
- Neutrino Physics Research 1
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- Computational Physics and Python Applications 1
- Co-authors
- T. Nonaka (3 shared papers)Olivier Deligny (3 shared papers)D. Ivanov (3 shared papers)S. Troitsky (2 shared papers)K. Kawata (2 shared papers)H. Sagawa (1 shared paper)Teresa Bister (2 shared papers)Jon Paul Lundquist (2 shared papers)
- Journals
- SHILAP Revista de lepidopterología (2 papers)Proceedings of 36th International Cosmic Ray Conference — PoS(ICRC2019) (2 papers)
- Partner nations
- ItalyJapanUnited States
In The Last Decade
D. Mockler
4 papers receiving 26 citations
Peers
Comparison fields: 4 of 4
- Nuclear and High Energy Physics 28
- Astronomy and Astrophysics 8
- Oceanography 1
- Electrical and Electronic Engineering 1
Countries citing papers authored by D. Mockler
This map shows the geographic impact of D. Mockler'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. Mockler with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites D. Mockler more than expected).
Fields of papers citing papers by D. Mockler
This network shows the impact of papers produced by D. Mockler. 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. Mockler. The network helps show where D. Mockler may publish in the future.
Co-authors
The 25 scholars most cited alongside D. Mockler, 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 | 2019 | 13 | |
| 2 | 2019 | 7 | |
| 3 | 2019 | 7 | |
| 4 | 2019 | 1 |
About D. Mockler
D. Mockler is a scholar working on Nuclear and High Energy Physics, Artificial Intelligence, Infectious Diseases, Organic Chemistry and Surgery, having authored 4 papers that have together received 28 indexed citations. Recurring topics across this work include Dark Matter and Cosmic Phenomena (4 papers), Astrophysics and Cosmic Phenomena (4 papers), Particle Detector Development and Performance (1 paper), Particle physics theoretical and experimental studies (1 paper), Computational Physics and Python Applications (1 paper) and Neutrino Physics Research (1 paper). The work is most often cited by research in Nuclear and High Energy Physics (28 citations), Astronomy and Astrophysics (8 citations), Oceanography (1 citation), Electrical and Electronic Engineering (1 citation) and Infectious Diseases (0 citations). D. Mockler has collaborated with scholars based in Italy, Japan and United States. Frequent co-authors include T. Nonaka, Olivier Deligny, D. Ivanov, S. Troitsky, K. Kawata, H. Sagawa, Teresa Bister, Jon Paul Lundquist, I. Tkachev and P. Tinyakov. Their work appears in journals such as SHILAP Revista de lepidopterología and Proceedings of 36th International Cosmic Ray Conference — PoS(ICRC2019).
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.