L. Whitehead
Impact in
- Nuclear and High Energy Physics top 10%
- Particle physics theoretical and experimental studies
- Dark Matter and Cosmic Phenomena
- Neutrino Physics Research
- Astrophysics and Cosmic Phenomena
- Particle Detector Development and Performance
-
- Cosmology and Gravitation Theories
Papers in
-
- Particle physics theoretical and experimental studies 9
- Neutrino Physics Research 6
- Astrophysics and Cosmic Phenomena 5
- Dark Matter and Cosmic Phenomena 3
- Particle Detector Development and Performance 2
-
- Digital Media Forensic Detection 1
- Generative Adversarial Networks and Image Synthesis 1
- Co-authors
- S. Alonso Monsalve (2 shared papers)Doojin Kim (3 shared papers)Z. Ghorbanimoghaddam (3 shared papers)A. De Roeck (3 shared papers)Seodong Shin (3 shared papers)Jong-Chul Park (3 shared papers)A. Chatterjee (2 shared papers)J. S. Yu (1 shared paper)
- Journals
- Physical review. D (2 papers)The European Physical Journal C (1 paper)Journal of Instrumentation (1 paper)Journal of High Energy Physics (1 paper)IEEE Transactions on Neural Networks and Learning Systems (1 paper)
- Partner nations
- United KingdomUnited StatesSwitzerland
In The Last Decade
L. Whitehead
11 papers receiving 112 citations
Peers
Comparison fields: 5 of 30
- Nuclear and High Energy Physics 93
- Astronomy and Astrophysics 16
- Biophysics 2
- Artificial Intelligence 11
- Computer Vision and Pattern Recognition 6
Countries citing papers authored by L. Whitehead
This map shows the geographic impact of L. Whitehead'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 L. Whitehead with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites L. Whitehead more than expected).
Fields of papers citing papers by L. Whitehead
This network shows the impact of papers produced by L. Whitehead. 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 L. Whitehead. The network helps show where L. Whitehead may publish in the future.
Co-authors
The 25 scholars most cited alongside L. Whitehead, 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 | 26 | |
| 2 | 2018 | 25 | |
| 3 | 2020 | 22 | |
| 4 | 2020 | 15 | |
| 5 | 2016 | 9 | |
| 6 | 2022 | 7 | |
| 7 | 2021 | 7 | |
| 8 | 1979 | 1 | |
| 9 | 2023 | 1 | |
| 10 | Search for Boosted Dark Matter at ProtoDUNE : arXiv | 2018 | 1 |
| 11 | 2022 | 1 |
About L. Whitehead
L. Whitehead is a scholar working on Nuclear and High Energy Physics, Computer Vision and Pattern Recognition, Atomic and Molecular Physics, and Optics, Radiology, Nuclear Medicine and Imaging and Infectious Diseases, having authored 11 papers that have together received 115 indexed citations. Recurring topics across this work include Particle physics theoretical and experimental studies (9 papers), Neutrino Physics Research (6 papers), Astrophysics and Cosmic Phenomena (5 papers), Dark Matter and Cosmic Phenomena (3 papers), Particle Detector Development and Performance (2 papers), Digital Media Forensic Detection (1 paper), Atomic and Subatomic Physics Research (1 paper) and Generative Adversarial Networks and Image Synthesis (1 paper). The work is most often cited by research in Nuclear and High Energy Physics (93 citations), Astronomy and Astrophysics (16 citations), Biophysics (2 citations), Artificial Intelligence (11 citations) and Computer Vision and Pattern Recognition (6 citations). L. Whitehead has collaborated with scholars based in United Kingdom, United States and Switzerland. Frequent co-authors include S. Alonso Monsalve, Doojin Kim, Z. Ghorbanimoghaddam, A. De Roeck, Seodong Shin, Jong-Chul Park, A. Chatterjee, J. S. Yu, B. Lundberg and V. Paolone. Their work appears in journals such as Physical review. D, The European Physical Journal C, Journal of Instrumentation, Journal of High Energy Physics and IEEE Transactions on Neural Networks and Learning Systems.
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.