K. Reeves
Impact in
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- Particle Detector Development and Performance
- Particle physics theoretical and experimental studies
- High-Energy Particle Collisions Research
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- Radiation Detection and Scintillator Technologies
Papers in
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- Particle Detector Development and Performance 7
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- Distributed and Parallel Computing Systems 2
- Co-authors
- R. Müller-Pfefferkorn (1 shared paper)K. H. Becks (1 shared paper)Roland Wismüller (1 shared paper)Daniel Lorenz (1 shared paper)N. Wermes (1 shared paper)Peter Buchholz (1 shared paper)T. Flick (2 shared papers)J. Weingarten (2 shared papers)
- Journals
- Nuclear Instruments and Methods in Physics Research Section A Accelerators Spectrometers Detectors and Associated Equipment (6 papers)Journal of Instrumentation (1 paper)Future Generation Computer Systems (1 paper)EPJ Web of Conferences (1 paper)
- Partner nations
- GermanySloveniaUnited States
In The Last Decade
K. Reeves
7 papers receiving 28 citations
Peers
Comparison fields: 5 of 12
- Nuclear and High Energy Physics 22
- Radiation 11
- Computer Networks and Communications 14
- Hardware and Architecture 3
- Information Systems and Management 2
Countries citing papers authored by K. Reeves
This map shows the geographic impact of K. Reeves'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 K. Reeves with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites K. Reeves more than expected).
Fields of papers citing papers by K. Reeves
This network shows the impact of papers produced by K. Reeves. 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 K. Reeves. The network helps show where K. Reeves may publish in the future.
Co-authors
The 25 scholars most cited alongside K. Reeves, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2008 | 8 | |
| 2 | 2006 | 6 | |
| 3 | 2006 | 5 | |
| 4 | 1998 | 5 | |
| 5 | 2019 | 2 | |
| 6 | 2003 | 2 | |
| 7 | 2006 | 2 | |
| 8 | 2007 | 1 | |
| 9 | 2003 | 0 |
About K. Reeves
K. Reeves is a scholar working on Nuclear and High Energy Physics, Computer Networks and Communications, Radiation, Electrical and Electronic Engineering and Information Systems and Management, having authored 9 papers that have together received 31 indexed citations. Recurring topics across this work include Particle Detector Development and Performance (7 papers), Radiation Detection and Scintillator Technologies (3 papers), Distributed and Parallel Computing Systems (2 papers), CCD and CMOS Imaging Sensors (2 papers), Particle accelerators and beam dynamics (1 paper), Scientific Computing and Data Management (1 paper), Electrostatic Discharge in Electronics (1 paper) and Nuclear Physics and Applications (1 paper). The work is most often cited by research in Nuclear and High Energy Physics (22 citations), Radiation (11 citations), Computer Networks and Communications (14 citations), Hardware and Architecture (3 citations) and Information Systems and Management (2 citations). K. Reeves has collaborated with scholars based in Germany, Slovenia and United States. Frequent co-authors include R. Müller-Pfefferkorn, K. H. Becks, Roland Wismüller, Daniel Lorenz, N. Wermes, Peter Buchholz, T. Flick, J. Weingarten, Ronny Neumann and P. Gerlach. Their work appears in journals such as Nuclear Instruments and Methods in Physics Research Section A Accelerators Spectrometers Detectors and Associated Equipment, Journal of Instrumentation, Future Generation Computer Systems and EPJ Web of Conferences.
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.