J. Sloper
Impact in
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- Scientific Computing and Data Management
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- Particle Detector Development and Performance
Papers in
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- Distributed and Parallel Computing Systems 7
- Advanced Data Storage Technologies 2
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- Particle Detector Development and Performance 3
- Particle physics theoretical and experimental studies 1
- Co-authors
- G. Lehmann Miotto (4 shared papers)L. Magnoni (2 shared papers)Marc Dobson (4 shared papers)M. Leahu (2 shared papers)G. Lehmann (2 shared papers)A. Kazarov (4 shared papers)Jorge Rady de Almeida (2 shared papers)I. Soloviev (2 shared papers)
- Journals
- IEEE Transactions on Nuclear Science (3 papers)Journal of Physics Conference Series (2 papers)Proceedings of the Annual Conference of the IEEE Industrial Electronics Society (1 paper)CERN Document Server (European Organization for Nuclear Research) (1 paper)
- Partner nations
- SwitzerlandUnited KingdomRussia
In The Last Decade
J. Sloper
9 papers receiving 26 citations
Peers
Comparison fields: 5 of 11
- Information Systems and Management 14
- Nuclear and High Energy Physics 13
- Computer Networks and Communications 23
- Computer Science Applications 1
- Human-Computer Interaction 1
Countries citing papers authored by J. Sloper
This map shows the geographic impact of J. Sloper'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. Sloper with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites J. Sloper more than expected).
Fields of papers citing papers by J. Sloper
This network shows the impact of papers produced by J. Sloper. 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. Sloper. The network helps show where J. Sloper may publish in the future.
Co-authors
The 12 scholars most cited alongside J. Sloper, 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 | 5 | |
| 2 | 2011 | 5 | |
| 3 | 2007 | 5 | |
| 4 | 2006 | 4 | |
| 5 | 2005 | 2 | |
| 6 | 2008 | 2 | |
| 7 | 2006 | 1 | |
| 8 | 2010 | 1 | |
| 9 | 2007 | 1 |
About J. Sloper
J. Sloper is a scholar working on Computer Networks and Communications, Nuclear and High Energy Physics, Sociology and Political Science, Information Systems and Information Systems and Management, having authored 9 papers that have together received 26 indexed citations. Recurring topics across this work include Distributed and Parallel Computing Systems (7 papers), Particle Detector Development and Performance (3 papers), Scientific Computing and Data Management (2 papers), Cloud Data Security Solutions (2 papers), Access Control and Trust (2 papers), Advanced Data Storage Technologies (2 papers), Simulation Techniques and Applications (1 paper) and Particle physics theoretical and experimental studies (1 paper). The work is most often cited by research in Information Systems and Management (14 citations), Nuclear and High Energy Physics (13 citations), Computer Networks and Communications (23 citations), Computer Science Applications (1 citation) and Human-Computer Interaction (1 citation). J. Sloper has collaborated with scholars based in Switzerland, United Kingdom and Russia. Frequent co-authors include G. Lehmann Miotto, L. Magnoni, Marc Dobson, M. Leahu, G. Lehmann, A. Kazarov, Jorge Rady de Almeida, I. Soloviev, A. Corso-Radu and Y. F. Ryabov. Their work appears in journals such as IEEE Transactions on Nuclear Science, Journal of Physics Conference Series, Proceedings of the Annual Conference of the IEEE Industrial Electronics Society 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.