Daniel Guest

481 citations
3 papers · 100 · h-index 2

Impact in

    • Particle physics theoretical and experimental studies
    • Particle Detector Development and Performance
    • High-Energy Particle Collisions Research
    • Quantum Chromodynamics and Particle Interactions
    • Astrophysics and Cosmic Phenomena
    • Neutrino Physics Research
    • Computational Physics and Python Applications

Papers in

Daniel Guest

2 papers receiving 98 citations

Peers

Daniel Guest
Comparison fields: 5 of 26
  • Nuclear and High Energy Physics 84
  • Artificial Intelligence 30
  • Computer Graphics and Computer-Aided Design 3
  • Information Systems and Management 4
  • Radiology, Nuclear Medicine and Imaging 8
Replace K. Zoch with:
K. Zoch Switzerland
F. A. Di Bello Italy
Justin Pilot Germany
L. Asquith Germany
P. Naik United States
G. Schott Netherlands
S. Giagu Italy
M. Feickert United States
E. Gross Israel
Breno Orzari Switzerland
Daniel Guest relative to K. Zoch Switzerland K. Zoch's profile →
Citations per field
00.5×4.3×
K. Zoch · 1×
Citations per year

Countries citing papers authored by Daniel Guest

Since Specialization
Citations

This map shows the geographic impact of Daniel Guest'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 Daniel Guest with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Daniel Guest more than expected).

Fields of papers citing papers by Daniel Guest

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Daniel Guest. 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 Daniel Guest. The network helps show where Daniel Guest may publish in the future.

Co-authors

The 10 scholars most cited alongside Daniel Guest, 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 Daniel Guest Line = papers co-authored together Daniel Guest links everyone, so they are left out of the graph.

All Works

3 of 3 papers shown
#Work
1 201699
2 20161
3 20190

About Daniel Guest

Daniel Guest is a scholar working on Pollution, Atmospheric Science, Aerospace Engineering, Nuclear and High Energy Physics and Infectious Diseases, having authored 3 papers that have together received 100 indexed citations. Recurring topics across this work include Smart Materials for Construction (1 paper), Cryospheric studies and observations (1 paper), Particle Detector Development and Performance (1 paper), Particle physics theoretical and experimental studies (1 paper), Icing and De-icing Technologies (1 paper) and High-Energy Particle Collisions Research (1 paper). The work is most often cited by research in Nuclear and High Energy Physics (84 citations), Artificial Intelligence (30 citations), Computer Graphics and Computer-Aided Design (3 citations), Information Systems and Management (4 citations) and Radiology, Nuclear Medicine and Imaging (8 citations). Daniel Guest has collaborated with scholars based in United States and Switzerland. Frequent co-authors include Pierre Baldi, S.‐C. Hsu, Gregor Urban, D. Whiteson, Michael C. King, M. Paganini, A. Krasznahorkay, John Bognar, M. Kagan and J. W. Smith. Their work appears in journals such as Physical review. D, NASA STI Repository (National Aeronautics and Space Administration) and Figshare.

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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