R. Keidel

22.7k citations
8 papers · 20 · h-index 4

Impact in

Papers in

R. Keidel

6 papers receiving 19 citations

Peers

R. Keidel
Comparison fields: 5 of 15
  • Nuclear and High Energy Physics 7
  • Radiation 3
  • Hardware and Architecture 2
  • Cognitive Neuroscience 4
  • Computer Vision and Pattern Recognition 4
Replace S. Gkaitatzis with:
S. Gkaitatzis Greece
M. Bachtis United States
X. Vilasís Spain
S. Meneghini Italy
K. Biery United States
C. Hinkelbein Germany
J. Martínez-Castro Mexico
Hikmat Nasimi Italy
P. Bambade France
R. Keidel relative to S. Gkaitatzis Greece S. Gkaitatzis's profile →
Citations per field
00.5×
S. Gkaitatzis · 1×
Citations per year

Countries citing papers authored by R. Keidel

Since Specialization
Citations

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

Fields of papers citing papers by R. Keidel

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

8 of 8 papers shown
#Work
1 20066
2 20204
3 19864
4 20053
5 19882
6 20231
7 20250
8 20250

About R. Keidel

R. Keidel is a scholar working on Nuclear and High Energy Physics, Computer Networks and Communications, Artificial Intelligence, Cellular and Molecular Neuroscience and Pulmonary and Respiratory Medicine, having authored 8 papers that have together received 20 indexed citations. Recurring topics across this work include Particle Detector Development and Performance (4 papers), Particle physics theoretical and experimental studies (2 papers), High-Energy Particle Collisions Research (2 papers), Advanced Data Storage Technologies (2 papers), Distributed and Parallel Computing Systems (2 papers), Neuroscience and Neural Engineering (1 paper), Radiation Therapy and Dosimetry (1 paper) and Dark Matter and Cosmic Phenomena (1 paper). The work is most often cited by research in Nuclear and High Energy Physics (7 citations), Radiation (3 citations), Hardware and Architecture (2 citations), Cognitive Neuroscience (4 citations) and Computer Vision and Pattern Recognition (4 citations). R. Keidel has collaborated with scholars based in Germany, Italy and Spain. Frequent co-authors include S. Bablok, F. Pühlhofer, J. Schneider, Georg Haas, Steffen Wendzel, Reinhard Eckhorn, V. Lindenstruth, D. Röhrich, T. Dorigo and A. Breccia. 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 Nuclear Science, IEEE Transactions on Pattern Analysis and Machine Intelligence, JUCS - Journal of Universal Computer Science and Journal of Neuroscience Methods.

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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