L. Whitehead

11.9k citations
11 papers · 107 indexed · h-index 7

Impact in

    • 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

L. Whitehead

10 papers receiving 104 citations

Peers

L. Whitehead
Comparison fields: 5 of 29
  • Nuclear and High Energy Physics 90
  • Astronomy and Astrophysics 16
  • Biophysics 2
  • Artificial Intelligence 8
  • Computer Vision and Pattern Recognition 5
Replace S. Söldner‐Rembold with:
S. Söldner‐Rembold United Kingdom
D. P. Yallup United Kingdom
T. Lohse Germany
G. Schott Netherlands
M. Kado Italy
Pierluca Sangiorgi Italy
A. Coccaro Italy
E. Gross Israel
B. Meirose Sweden
T. Abajyan Germany
L. Whitehead relative to S. Söldner‐Rembold United Kingdom S. Söldner‐Rembold's profile →
Citations per field
00.5×
S. Söldner‐Rembold · 1×
Citations per year

Countries citing papers authored by L. Whitehead

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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.

Border = papers with L. Whitehead Line = papers co-authored together L. Whitehead links everyone, so they are left out of the graph.

All Works

11 of 11 papers shown
#Work
1 201527
2 201822
3 202019
4 202013
5 20169
6 20227
7 20216
8 20232
9 19791
10
Search for Boosted Dark Matter at ProtoDUNE : arXiv
20181
11 20250

About L. Whitehead

L. Whitehead is a scholar working on Nuclear and High Energy Physics, Computer Vision and Pattern Recognition, Ecology, Atomic and Molecular Physics, and Optics and Epidemiology, having authored 11 papers that have together received 107 indexed citations. Recurring topics across this work include Particle physics theoretical and experimental studies (8 papers), Neutrino Physics Research (6 papers), Astrophysics and Cosmic Phenomena (5 papers), Dark Matter and Cosmic Phenomena (3 papers), Mycobacterium research and diagnosis (1 paper), Generative Adversarial Networks and Image Synthesis (1 paper), Particle Detector Development and Performance (1 paper) and Atomic and Subatomic Physics Research (1 paper). The work is most often cited by research in Nuclear and High Energy Physics (90 citations), Astronomy and Astrophysics (16 citations), Biophysics (2 citations), Artificial Intelligence (8 citations) and Computer Vision and Pattern Recognition (5 citations). L. Whitehead has collaborated with scholars based in United Kingdom, United States and Switzerland. Frequent co-authors include S. Alonso Monsalve, A. De Roeck, Z. Ghorbanimoghaddam, Jong-Chul Park, Seodong Shin, Doojin Kim, J. S. Yu, A. Chatterjee, R. J. Wilson and R. Rameika. Their work appears in journals such as Physical review. D, Nuclear Physics B, The European Physical Journal C, Journal of Instrumentation and Journal of High Energy Physics.

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.

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