Kai Dolde

530 citations
10 papers · 447 · 1 hit paper · h-index 8

Impact in

    • Dark Matter and Cosmic Phenomena
    • Neutrino Physics Research
    • Particle physics theoretical and experimental studies
    • Particle Detector Development and Performance
  • Radiation top 10%
    • Advanced Radiotherapy Techniques

Papers in

Kai Dolde

10 papers receiving 439 citations

Kai Dolde's Hit Papers

A White Paper on keV sterile neutrino Dark Matter 2017 · 330 citations
3300+3+6Years since publication100200300

Peers

Kai Dolde
Comparison fields: 5 of 16
  • Nuclear and High Energy Physics 327
  • Radiation 69
  • Astronomy and Astrophysics 73
  • Pulmonary and Respiratory Medicine 22
  • Forestry 1
Replace Francesco Altamura with:
Francesco Altamura Italy
M. G. Bagliesi Italy
Dikra Bakari Morocco
Abdeslem Rrhioua Morocco
S. J. Lonsdale Switzerland
M. Valencia-Otero Germany
A. Sulaj Italy
Ali Ajmi Japan
C. Freeman United States
M. Dietz Switzerland
Kai Dolde relative to Francesco Altamura Italy Francesco Altamura's profile →
Citations per field
00.5×2×4×6×7.6×
Francesco Altamura · 1×
Citations per year

Countries citing papers authored by Kai Dolde

Since Specialization
Citations

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

Fields of papers citing papers by Kai Dolde

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Kai Dolde, 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 Kai Dolde Line = papers co-authored together Kai Dolde links everyone, so they are left out of the graph.

All Works

10 of 10 papers shown
#Work
1
A White Paper on keV sterile neutrino Dark Matter
Hit paper breakdown →
2017330
2 201524
3 201922
4 201820
5 201913
6 201812
7 201910
8 20169
9 20186
10 20161

About Kai Dolde

Kai Dolde is a scholar working on Radiation, Nuclear and High Energy Physics, Computer Vision and Pattern Recognition, Aerospace Engineering and Biomedical Engineering, having authored 10 papers that have together received 447 indexed citations. Recurring topics across this work include Advanced Radiotherapy Techniques (6 papers), Neutrino Physics Research (2 papers), Music Technology and Sound Studies (1 paper), Dark Matter and Cosmic Phenomena (1 paper), Aerodynamics and Acoustics in Jet Flows (1 paper) and Acoustic Wave Phenomena Research (1 paper). The work is most often cited by research in Nuclear and High Energy Physics (327 citations), Radiation (69 citations), Astronomy and Astrophysics (73 citations), Pulmonary and Respiratory Medicine (22 citations) and Forestry (1 citation). Kai Dolde has collaborated with scholars based in Germany, Switzerland and Hungary. Frequent co-authors include A. Pfaffenberger, N. Saito, Ye Zhang, Patrick Naumann, Antony Lomax, Damien Charles Weber, Marc Kachelrieß, M. Korzeczek, S. Mertens and M. Steidl. Their work appears in journals such as Physics in Medicine and Biology, Radiation Oncology, Medical Physics, Journal of Applied Clinical Medical Physics and Nuclear Instruments and Methods in Physics Research Section A Accelerators Spectrometers Detectors and Associated Equipment.

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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