N. Pearson
Impact in
- Nuclear and High Energy Physics top 10%
- Neutrino Physics Research
- Particle physics theoretical and experimental studies
- Particle Detector Development and Performance
- Dark Matter and Cosmic Phenomena
- Astrophysics and Cosmic Phenomena
- Radiation top 10%
- Radiation Detection and Scintillator Technologies
Papers in
-
- Neutrino Physics Research 5
- Particle Detector Development and Performance 3
-
- Radiation Detection and Scintillator Technologies 1
- Co-authors
- Anatoly Ronzhin (1 shared paper)D. Green (1 shared paper)P. Cushman (1 shared paper)A. Heering (1 shared paper)Sergey Los (1 shared paper)Jan Elias (1 shared paper)Jim Freeman (1 shared paper)
- Journals
- Nuclear Instruments and Methods in Physics Research Section A Accelerators Spectrometers Detectors and Associated Equipment (2 papers)Physical Review Letters (2 papers)IEEE Transactions on Nuclear Science (1 paper)Physical review. D (1 paper)High-Energy Physics Literature Database (CERN, DESY, Fermilab, IHEP, and SLAC) (1 paper)
- Partner nations
- United StatesUnited Kingdom
In The Last Decade
N. Pearson
8 papers receiving 900 citations
Peers
Comparison fields: 5 of 18
- Nuclear and High Energy Physics 901
- Radiation 41
- Hardware and Architecture 5
- Statistical and Nonlinear Physics 6
- Astronomy and Astrophysics 11
Countries citing papers authored by N. Pearson
This map shows the geographic impact of N. Pearson'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 N. Pearson with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites N. Pearson more than expected).
Fields of papers citing papers by N. Pearson
This network shows the impact of papers produced by N. Pearson. 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 N. Pearson. The network helps show where N. Pearson may publish in the future.
Co-authors
The 7 scholars most cited alongside N. Pearson, 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 | 2006 | 360 | |
| 2 | 2008 | 214 | |
| 3 | 2016 | 158 | |
| 4 | 2016 | 84 | |
| 5 | CMS Physics : Technical Design Report Volume 1: Detector Performance and Software | 2006 | 55 |
| 6 | 2006 | 53 | |
| 7 | 2002 | 16 | |
| 8 | 2003 | 6 |
About N. Pearson
N. Pearson is a scholar working on Nuclear and High Energy Physics, Radiation, Nuclear Energy and Engineering, Waste Management and Disposal and Infectious Diseases, having authored 8 papers that have together received 946 indexed citations. Recurring topics across this work include Neutrino Physics Research (5 papers), Particle Detector Development and Performance (3 papers) and Radiation Detection and Scintillator Technologies (1 paper). The work is most often cited by research in Nuclear and High Energy Physics (901 citations), Radiation (41 citations), Hardware and Architecture (5 citations), Statistical and Nonlinear Physics (6 citations) and Astronomy and Astrophysics (11 citations). N. Pearson has collaborated with scholars based in United States and United Kingdom. Frequent co-authors include Anatoly Ronzhin, D. Green, P. Cushman, A. Heering, Sergey Los, Jan Elias and Jim Freeman. Their work appears in journals such as Nuclear Instruments and Methods in Physics Research Section A Accelerators Spectrometers Detectors and Associated Equipment, Physical Review Letters, IEEE Transactions on Nuclear Science, Physical review. D and High-Energy Physics Literature Database (CERN, DESY, Fermilab, IHEP, and SLAC).
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.