John Hover
Impact in
-
- Scientific Computing and Data Management
-
- Distributed and Parallel Computing Systems
- Advanced Data Storage Technologies
Papers in
-
- Distributed and Parallel Computing Systems 15
- Advanced Data Storage Technologies 7
- Distributed systems and fault tolerance 2
-
- Scientific Computing and Data Management 9
- Big Data Technologies and Applications 2
- Co-authors
- P. A. Love (4 shared papers)K. De (4 shared papers)José Manuel Rodríguez Caballero (4 shared papers)Jose Caballero Bejar (7 shared papers)T. Maeno (6 shared papers)G. A. Stewart (1 shared paper)T. Wenaus (6 shared papers)R. Taylor (3 shared papers)
- Journals
- Journal of Physics Conference Series (11 papers)Procedia Computer Science (1 paper)EPJ Web of Conferences (3 papers)
- Partner nations
- United StatesSwitzerlandUnited Kingdom
In The Last Decade
John Hover
17 papers receiving 83 citations
Peers
Comparison fields: 5 of 18
- Information Systems and Management 40
- Computer Networks and Communications 72
- Architecture 4
- Hardware and Architecture 8
- Information Systems 22
Countries citing papers authored by John Hover
This map shows the geographic impact of John Hover'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 John Hover with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites John Hover more than expected).
Fields of papers citing papers by John Hover
This network shows the impact of papers produced by John Hover. 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 John Hover. The network helps show where John Hover may publish in the future.
Co-authors
The 25 scholars most cited alongside John Hover, 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 | 2019 | 12 | |
| 2 | 2012 | 11 | |
| 3 | 2015 | 10 | |
| 4 | 2014 | 10 | |
| 5 | 2017 | 7 | |
| 6 | 2014 | 6 | |
| 7 | 2018 | 4 | |
| 8 | 2008 | 4 | |
| 9 | 2015 | 4 | |
| 10 | 2011 | 3 | |
| 11 | 2017 | 3 | |
| 12 | 2009 | 3 | |
| 13 | 2016 | 2 | |
| 14 | 2016 | 2 | |
| 15 | 2014 | 2 | |
| 16 | 2020 | 1 | |
| 17 | 2010 | 1 | |
| 18 | 2014 | 0 |
About John Hover
John Hover is a scholar working on Computer Networks and Communications, Information Systems and Management, Information Systems, Hardware and Architecture and Nuclear and High Energy Physics, having authored 18 papers that have together received 85 indexed citations. Recurring topics across this work include Distributed and Parallel Computing Systems (15 papers), Scientific Computing and Data Management (9 papers), Advanced Data Storage Technologies (7 papers), Cloud Computing and Resource Management (4 papers), Parallel Computing and Optimization Techniques (4 papers), Particle Detector Development and Performance (2 papers), Distributed systems and fault tolerance (2 papers) and Big Data Technologies and Applications (2 papers). The work is most often cited by research in Information Systems and Management (40 citations), Computer Networks and Communications (72 citations), Architecture (4 citations), Hardware and Architecture (8 citations) and Information Systems (22 citations). John Hover has collaborated with scholars based in United States, Switzerland and United Kingdom. Frequent co-authors include P. A. Love, K. De, José Manuel Rodríguez Caballero, Jose Caballero Bejar, T. Maeno, G. A. Stewart, T. Wenaus, R. Taylor, D. Oleynik and Tomáš Kouba. Their work appears in journals such as Journal of Physics Conference Series, Procedia Computer Science 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.