K. Karr
Impact in
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- Particle physics theoretical and experimental studies
- Particle Detector Development and Performance
- High-Energy Particle Collisions Research
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- Distributed and Parallel Computing Systems
- Advanced Data Storage Technologies
- Distributed systems and fault tolerance
- Peer-to-Peer Network Technologies
Papers in ⓘ
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- Distributed and Parallel Computing Systems 5
- Advanced Data Storage Technologies 3
- Distributed systems and fault tolerance 2
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- Particle Detector Development and Performance 3
- Particle physics theoretical and experimental studies 2
- Co-authors
- I. Papadopoulos (3 shared papers)D. Düllmann (5 shared papers)G. Govi (5 shared papers)Carmela Cioffi (5 shared papers)Jakub Mościcki (4 shared papers)M. Girone (5 shared papers)R Chytracek (5 shared papers)T. Barrass (5 shared papers)
- Journals
- IEEE Transactions on Nuclear Science (1 paper)IEEE Symposium Conference Record Nuclear Science 2004. (1 paper)CERN Document Server (European Organization for Nuclear Research) (3 papers)
- Partner nations
- SwitzerlandUnited KingdomUnited States
In The Last Decade
K. Karr
5 papers receiving 10 citations
Peers
Comparison fields: 4 of 4
- Nuclear and High Energy Physics 8
- Computer Networks and Communications 6
- Radiation 2
- Information Systems and Management 1
Countries citing papers authored by K. Karr
This map shows the geographic impact of K. Karr'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. Karr with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites K. Karr more than expected).
Fields of papers citing papers by K. Karr
This network shows the impact of papers produced by K. Karr. 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. Karr. The network helps show where K. Karr may publish in the future.
Co-authors
The 22 scholars most cited alongside K. Karr, 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 | 2005 | 4 | |
| 2 | 2005 | 2 | |
| 3 | 2005 | 2 | |
| 4 | 2005 | 2 | |
| 5 | 2005 | 1 |
About K. Karr
K. Karr is a scholar working on Computer Networks and Communications, Nuclear and High Energy Physics, Infectious Diseases, Organic Chemistry and Surgery, having authored 5 papers that have together received 11 indexed citations. Recurring topics across this work include Distributed and Parallel Computing Systems (5 papers), Advanced Data Storage Technologies (3 papers), Particle Detector Development and Performance (3 papers), Distributed systems and fault tolerance (2 papers) and Particle physics theoretical and experimental studies (2 papers). The work is most often cited by research in Nuclear and High Energy Physics (8 citations), Computer Networks and Communications (6 citations), Radiation (2 citations), Information Systems and Management (1 citation) and Infectious Diseases (0 citations). K. Karr has collaborated with scholars based in Switzerland, United Kingdom and United States. Frequent co-authors include I. Papadopoulos, D. Düllmann, G. Govi, Carmela Cioffi, Jakub Mościcki, M. Girone, R Chytracek, T. Barrass, A. Vaniachine and C. Grandi. Their work appears in journals such as IEEE Transactions on Nuclear Science, IEEE Symposium Conference Record Nuclear Science 2004. and CERN Document Server (European Organization for Nuclear Research).
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.