V Fine
Impact in
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- Scientific Computing and Data Management
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- Distributed and Parallel Computing Systems
- Advanced Data Storage Technologies
- Peer-to-Peer Network Technologies
Papers in ⓘ
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- Scientific Computing and Data Management 2
- Big Data Technologies and Applications 1
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- Distributed and Parallel Computing Systems 5
- Advanced Data Storage Technologies 4
- Co-authors
- D. M. Alexander (1 shared paper)M. Potekhin (1 shared paper)J. Lauret (3 shared papers)K. De (1 shared paper)S. Panitkin (2 shared papers)R. Walker (1 shared paper)G. Compostella (1 shared paper)T. Maeno (1 shared paper)
- Journals
- Nuclear Instruments and Methods in Physics Research Section A Accelerators Spectrometers Detectors and Associated Equipment (2 papers)Journal of Physics Conference Series (5 papers)
- Partner nations
- United StatesSwitzerlandGermany
In The Last Decade
V Fine
6 papers receiving 23 citations
Peers
Comparison fields: 5 of 15
- Information Systems and Management 9
- Computer Networks and Communications 17
- Nuclear and High Energy Physics 5
- Computer Graphics and Computer-Aided Design 1
- Software 1
Countries citing papers authored by V Fine
This map shows the geographic impact of V Fine'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 V Fine with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites V Fine more than expected).
Fields of papers citing papers by V Fine
This network shows the impact of papers produced by V Fine. 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 V Fine. The network helps show where V Fine may publish in the future.
Co-authors
The 17 scholars most cited alongside V Fine, 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 | 2012 | 11 | |
| 2 | 2003 | 6 | |
| 3 | 2008 | 2 | |
| 4 | 2010 | 2 | |
| 5 | 2010 | 2 | |
| 6 | 2012 | 1 | |
| 7 | 2005 | 0 |
About V Fine
V Fine is a scholar working on Information Systems and Management, Computer Networks and Communications, Nuclear and High Energy Physics, Hardware and Architecture and Information Systems, having authored 7 papers that have together received 24 indexed citations. Recurring topics across this work include Distributed and Parallel Computing Systems (5 papers), Advanced Data Storage Technologies (4 papers), Scientific Computing and Data Management (2 papers), Parallel Computing and Optimization Techniques (1 paper), Cloud Computing and Resource Management (1 paper), Particle accelerators and beam dynamics (1 paper), Particle Detector Development and Performance (1 paper) and Big Data Technologies and Applications (1 paper). The work is most often cited by research in Information Systems and Management (9 citations), Computer Networks and Communications (17 citations), Nuclear and High Energy Physics (5 citations), Computer Graphics and Computer-Aided Design (1 citation) and Software (1 citation). V Fine has collaborated with scholars based in United States, Switzerland and Germany. Frequent co-authors include D. M. Alexander, M. Potekhin, J. Lauret, K. De, S. Panitkin, R. Walker, G. Compostella, T. Maeno, A. R. Stradling and T. Wenaus. Their work appears in journals such as Nuclear Instruments and Methods in Physics Research Section A Accelerators Spectrometers Detectors and Associated Equipment and Journal of Physics Conference Series.
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.