N. Wardle
Impact in
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- Particle physics theoretical and experimental studies
- High-Energy Particle Collisions Research
- Particle Detector Development and Performance
- Quantum Chromodynamics and Particle Interactions
- Dark Matter and Cosmic Phenomena
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- Statistical Methods and Inference
Papers in
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- Particle physics theoretical and experimental studies 3
- High-Energy Particle Collisions Research 2
- Dark Matter and Cosmic Phenomena 2
- Particle Detector Development and Performance 1
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- Scientific Research and Discoveries 2
- Co-authors
- Matthew Kenzie (1 shared paper)P.D. Dauncey (1 shared paper)L. Lyons (1 shared paper)Benedikt Maier (1 shared paper)Edward Ely Curtis (1 shared paper)Anne-Marie Magnan (1 shared paper)Tania Robens (1 shared paper)
- Journals
- The European Physical Journal C (1 paper)Journal of Physics G Nuclear and Particle Physics (1 paper)Journal of Instrumentation (1 paper)CERN Document Server (European Organization for Nuclear Research) (1 paper)
- Partner nations
- United KingdomSwitzerlandCroatia
In The Last Decade
N. Wardle
4 papers receiving 24 citations
Peers
Comparison fields: 5 of 11
- Nuclear and High Energy Physics 17
- Statistics and Probability 3
- Statistical and Nonlinear Physics 4
- Artificial Intelligence 8
- Small Animals 1
Countries citing papers authored by N. Wardle
This map shows the geographic impact of N. Wardle'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. Wardle with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites N. Wardle more than expected).
Fields of papers citing papers by N. Wardle
This network shows the impact of papers produced by N. Wardle. 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. Wardle. The network helps show where N. Wardle may publish in the future.
Co-authors
The 7 scholars most cited alongside N. Wardle, 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 | 2015 | 17 | |
| 2 | 2018 | 5 | |
| 3 | 2013 | 1 | |
| 4 | 2025 | 1 |
About N. Wardle
N. Wardle is a scholar working on Nuclear and High Energy Physics, Statistical and Nonlinear Physics, Applied Mathematics, Environmental Engineering and Insect Science, having authored 4 papers that have together received 24 indexed citations. Recurring topics across this work include Particle physics theoretical and experimental studies (3 papers), Scientific Research and Discoveries (2 papers), High-Energy Particle Collisions Research (2 papers), Dark Matter and Cosmic Phenomena (2 papers), Particle Detector Development and Performance (1 paper), Statistical and numerical algorithms (1 paper) and Soil Geostatistics and Mapping (1 paper). The work is most often cited by research in Nuclear and High Energy Physics (17 citations), Statistics and Probability (3 citations), Statistical and Nonlinear Physics (4 citations), Artificial Intelligence (8 citations) and Small Animals (1 citation). N. Wardle has collaborated with scholars based in United Kingdom, Switzerland and Croatia. Frequent co-authors include Matthew Kenzie, P.D. Dauncey, L. Lyons, Benedikt Maier, Edward Ely Curtis, Anne-Marie Magnan and Tania Robens. Their work appears in journals such as The European Physical Journal C, Journal of Physics G Nuclear and Particle Physics, Journal of Instrumentation and CERN Document Server (European Organization for Nuclear Research).
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.