G. Duckeck
Impact in
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- Scientific Computing and Data Management
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- Distributed and Parallel Computing Systems
- Advanced Data Storage Technologies
Papers in
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- Distributed and Parallel Computing Systems 4
- Advanced Data Storage Technologies 1
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- Cloud Computing and Resource Management 2
- Co-authors
- J. Elmsheuser (1 shared paper)Wei Yang (1 shared paper)S. Campana (1 shared paper)Andrew Hanushevsky (1 shared paper)F. Legger (1 shared paper)R. W. Gardner (1 shared paper)I. Vukotić (1 shared paper)Sebastian Lehrack (1 shared paper)
- Journals
- Journal of Physics Conference Series (3 papers)CERN Document Server (European Organization for Nuclear Research) (1 paper)
- Partner nations
- GermanySwitzerlandPoland
In The Last Decade
G. Duckeck
4 papers receiving 32 citations
Peers
Comparison fields: 5 of 8
- Information Systems and Management 17
- Computer Networks and Communications 31
- Nuclear and High Energy Physics 8
- Hardware and Architecture 4
- Information Systems 6
Countries citing papers authored by G. Duckeck
This map shows the geographic impact of G. Duckeck'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 G. Duckeck with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites G. Duckeck more than expected).
Fields of papers citing papers by G. Duckeck
This network shows the impact of papers produced by G. Duckeck. 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 G. Duckeck. The network helps show where G. Duckeck may publish in the future.
Co-authors
The 20 scholars most cited alongside G. Duckeck, 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 | 2014 | 28 | |
| 2 | Atlas operation in the GridKa Tier1/Tier2 Cloud | 2010 | 2 |
| 3 | 2014 | 2 | |
| 4 | 2010 | 1 | |
| 5 | An upper limit for the {neutrino mass from ! 5 decays | 1998 | 0 |
About G. Duckeck
G. Duckeck is a scholar working on Computer Networks and Communications, Information Systems, Information Systems and Management, Health Information Management and Nuclear and High Energy Physics, having authored 5 papers that have together received 33 indexed citations. Recurring topics across this work include Distributed and Parallel Computing Systems (4 papers), Scientific Computing and Data Management (2 papers), Cloud Computing and Resource Management (2 papers), Quantum Chromodynamics and Particle Interactions (1 paper), Advanced Data Storage Technologies (1 paper), Artificial Intelligence in Healthcare (1 paper), Particle physics theoretical and experimental studies (1 paper) and Neutrino Physics Research (1 paper). The work is most often cited by research in Information Systems and Management (17 citations), Computer Networks and Communications (31 citations), Nuclear and High Energy Physics (8 citations), Hardware and Architecture (4 citations) and Information Systems (6 citations). G. Duckeck has collaborated with scholars based in Germany, Switzerland and Poland. Frequent co-authors include J. Elmsheuser, Wei Yang, S. Campana, Andrew Hanushevsky, F. Legger, R. W. Gardner, I. Vukotić, Sebastian Lehrack, J. Ebke and M. Gruwé. Their work appears in journals such as Journal of Physics Conference Series 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.