P. Moriarty
Impact in
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- Astrophysical Phenomena and Observations
- Pulsars and Gravitational Waves Research
- Gamma-ray bursts and supernovae
- Stellar, planetary, and galactic studies
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- Astrophysics and Cosmic Phenomena
Papers in
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- Astrophysics and Cosmic Phenomena 3
- Dark Matter and Cosmic Phenomena 1
- Particle Detector Development and Performance 1
- Surgery 1
- Lipoproteins and Cardiovascular Health 1
- Co-authors
- G. H. Gillanders (1 shared paper)G. Sembroski (1 shared paper)M. Catanese (2 shared papers)A. M. Hillas (1 shared paper)R. W. Lessard (1 shared paper)M. J. Lang (1 shared paper)D. J. Fegan (3 shared papers)V. Connaughton (1 shared paper)
- Journals
- Astroparticle Physics (2 papers)Journal of clinical lipidology (1 paper)International Cosmic Ray Conference (1 paper)AIP conference proceedings (1 paper)
- Partner nations
- IrelandUnited StatesArgentina
In The Last Decade
P. Moriarty
4 papers receiving 14 citations
Peers
Comparison fields: 5 of 7
- Astronomy and Astrophysics 13
- Nuclear and High Energy Physics 9
- Radiological and Ultrasound Technology 2
- Radiation 3
- Computational Mechanics 3
Countries citing papers authored by P. Moriarty
This map shows the geographic impact of P. Moriarty'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 P. Moriarty with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites P. Moriarty more than expected).
Fields of papers citing papers by P. Moriarty
This network shows the impact of papers produced by P. Moriarty. 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 P. Moriarty. The network helps show where P. Moriarty may publish in the future.
Co-authors
The 25 scholars most cited alongside P. Moriarty, 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 | 1998 | 11 | |
| 2 | 1997 | 2 | |
| 3 | Selection of TeV gamma-rays using the Kernel multivariate technique | 2001 | 1 |
| 4 | 2000 | 1 | |
| 5 | 2016 | 0 |
About P. Moriarty
P. Moriarty is a scholar working on Nuclear and High Energy Physics, Surgery, Astronomy and Astrophysics, Radiation and Radiology, Nuclear Medicine and Imaging, having authored 5 papers that have together received 15 indexed citations. Recurring topics across this work include Astrophysics and Cosmic Phenomena (3 papers), Lipoproteins and Cardiovascular Health (1 paper), Dark Matter and Cosmic Phenomena (1 paper), COVID-19 diagnosis using AI (1 paper), Particle Detector Development and Performance (1 paper), Radiation Detection and Scintillator Technologies (1 paper), Health Systems, Economic Evaluations, Quality of Life (1 paper) and Diabetes Treatment and Management (1 paper). The work is most often cited by research in Astronomy and Astrophysics (13 citations), Nuclear and High Energy Physics (9 citations), Radiological and Ultrasound Technology (2 citations), Radiation (3 citations) and Computational Mechanics (3 citations). P. Moriarty has collaborated with scholars based in Ireland, United States and Argentina. Frequent co-authors include G. H. Gillanders, G. Sembroski, M. Catanese, A. M. Hillas, R. W. Lessard, M. J. Lang, D. J. Fegan, V. Connaughton, F. Krennrich and M. F. Cawley. Their work appears in journals such as Astroparticle Physics, Journal of clinical lipidology, International Cosmic Ray Conference and AIP conference proceedings.
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.