J. Drees

5.0k citations
10 papers · 73 indexed · h-index 5

Impact in

    • Radiation Detection and Scintillator Technologies
    • Advanced Radiotherapy Techniques
    • Particle physics theoretical and experimental studies
    • Dark Matter and Cosmic Phenomena
    • Neutrino Physics Research

Papers in

    • Radiation Detection and Scintillator Technologies 2
    • Nuclear Physics and Applications 1
    • Advanced Malware Detection Techniques 2

J. Drees

8 papers receiving 70 citations

Peers

J. Drees
Comparison fields: 5 of 23
  • Radiation 21
  • Nuclear and High Energy Physics 21
  • Instrumentation 3
  • Biomedical Engineering 25
  • Biophysics 2
Replace N. V. Biesuz with:
N. V. Biesuz Italy
T. Hadig United States
S. Mastroianni Italy
D. Tcherniakhovski Germany
M. Baszczyk Poland
L. Perktold Switzerland
S. Débieux Switzerland
Isabel Bejar Alonso Switzerland
G. Chiodi Italy
L. Fanò Italy
J. Drees relative to N. V. Biesuz Italy N. V. Biesuz's profile →
Citations per field
00.5×
N. V. Biesuz · 1×
Citations per year

Countries citing papers authored by J. Drees

Since Specialization
Citations

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

Fields of papers citing papers by J. Drees

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 18 scholars most cited alongside J. Drees, 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 J. Drees Line = papers co-authored together J. Drees links everyone, so they are left out of the graph.

All Works

10 of 10 papers shown
#Work
1 200021
2 200420
3 202014
4 20208
5 20235
6 20221
7 20211
8 20211
9 20021
10 19891

About J. Drees

J. Drees is a scholar working on Radiation, Signal Processing, Hardware and Architecture, Artificial Intelligence and Nuclear and High Energy Physics, having authored 10 papers that have together received 73 indexed citations. Recurring topics across this work include Wireless Body Area Networks (3 papers), Molecular Communication and Nanonetworks (3 papers), Cryptographic Implementations and Security (3 papers), Energy Harvesting in Wireless Networks (3 papers), Radiation Detection and Scintillator Technologies (2 papers), Advanced Malware Detection Techniques (2 papers), Dark Matter and Cosmic Phenomena (1 paper) and Nuclear Physics and Applications (1 paper). The work is most often cited by research in Radiation (21 citations), Nuclear and High Energy Physics (21 citations), Instrumentation (3 citations), Biomedical Engineering (25 citations) and Biophysics (2 citations). J. Drees has collaborated with scholars based in Germany, Switzerland and Belgium. Frequent co-authors include K. Goldmann, K. H. Becks, M. Siebel, P. Abreu, M. Župan, P. Adzic, T. Albrecht, Falko Dressler, R. Alemany–Fernández and Eyke Hüllermeier. Their work appears in journals such as Nuclear Instruments and Methods in Physics Research Section A Accelerators Spectrometers Detectors and Associated Equipment, IEEE Transactions on Molecular Biological and Multi-Scale Communications, The European Physical Journal C and Open access LMU (Ludwid Maxmilian's Universitat Munchen).

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.

Explore authors with similar magnitude of impact

Rankless by CCL
2026