P. Gartung
Impact in
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- Particle Detector Development and Performance
- Particle physics theoretical and experimental studies
- Neutrino Physics Research
- High-Energy Particle Collisions Research
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- Parallel Computing and Optimization Techniques
Papers in
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- Distributed and Parallel Computing Systems 4
- Advanced Data Storage Technologies 3
- Distributed systems and fault tolerance 1
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- Scientific Computing and Data Management 3
- Co-authors
- Christopher Jones (2 shared papers)Luis M. Contreras (1 shared paper)D. Hufnagel (1 shared paper)L. Sexton-Kennedy (1 shared paper)James Amundson (2 shared papers)Chris Green (2 shared papers)E. Sexton-Kennedy (2 shared papers)C. D. Jones (1 shared paper)
- Journals
- Journal of Physics Conference Series (3 papers)Springer Link (Chiba Institute of Technology) (1 paper)EPJ Web of Conferences (3 papers)
- Partner nations
- United States
In The Last Decade
P. Gartung
6 papers receiving 19 citations
Peers
Comparison fields: 5 of 10
- Nuclear and High Energy Physics 12
- Hardware and Architecture 4
- Computer Networks and Communications 13
- Information Systems and Management 2
- Software 1
Countries citing papers authored by P. Gartung
This map shows the geographic impact of P. Gartung'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 P. Gartung with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites P. Gartung more than expected).
Fields of papers citing papers by P. Gartung
This network shows the impact of papers produced by P. Gartung. 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 P. Gartung. The network helps show where P. Gartung may publish in the future.
Co-authors
The 13 scholars most cited alongside P. Gartung, 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 | 2015 | 10 | |
| 2 | 2019 | 3 | |
| 3 | 2015 | 3 | |
| 4 | 2017 | 1 | |
| 5 | 2020 | 1 | |
| 6 | 2023 | 1 | |
| 7 | 2024 | 0 |
About P. Gartung
P. Gartung is a scholar working on Computer Networks and Communications, Information Systems and Management, Nuclear and High Energy Physics, Hardware and Architecture and Artificial Intelligence, having authored 7 papers that have together received 19 indexed citations. Recurring topics across this work include Distributed and Parallel Computing Systems (4 papers), Scientific Computing and Data Management (3 papers), Particle Detector Development and Performance (3 papers), Advanced Data Storage Technologies (3 papers), Particle physics theoretical and experimental studies (2 papers), Evolutionary Algorithms and Applications (1 paper), Distributed systems and fault tolerance (1 paper) and Medical Imaging Techniques and Applications (1 paper). The work is most often cited by research in Nuclear and High Energy Physics (12 citations), Hardware and Architecture (4 citations), Computer Networks and Communications (13 citations), Information Systems and Management (2 citations) and Software (1 citation). P. Gartung has collaborated with scholars based in United States. Frequent co-authors include Christopher Jones, Luis M. Contreras, D. Hufnagel, L. Sexton-Kennedy, James Amundson, Chris Green, E. Sexton-Kennedy, C. D. Jones, M. Paterno and L. Garren. Their work appears in journals such as Journal of Physics Conference Series, Springer Link (Chiba Institute of Technology) 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.