T. Hauth
Impact in
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- Particle physics theoretical and experimental studies
- Particle Detector Development and Performance
- Dark Matter and Cosmic Phenomena
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- Parallel Computing and Optimization Techniques
Papers in
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- Distributed and Parallel Computing Systems 10
- Advanced Data Storage Technologies 6
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- Particle physics theoretical and experimental studies 6
- Particle Detector Development and Performance 4
- Dark Matter and Cosmic Phenomena 1
- Co-authors
- M. Ritter (3 shared papers)C. Pulvermacher (3 shared papers)Vincenzo Innocente (3 shared papers)N. Braun (3 shared papers)T. Kuhr (3 shared papers)D. Piparo (2 shared papers)G. Quast (6 shared papers)Peter Sanders (1 shared paper)
- Journals
- Journal of Physics Conference Series (11 papers)SHILAP Revista de lepidopterología (1 paper)arXiv (Cornell University) (1 paper)
- Partner nations
- GermanyJapanSwitzerland
In The Last Decade
T. Hauth
12 papers receiving 84 citations
Peers
Comparison fields: 5 of 23
- Nuclear and High Energy Physics 51
- Hardware and Architecture 19
- Radiation 12
- Information Systems and Management 9
- Computer Networks and Communications 28
Countries citing papers authored by T. Hauth
This map shows the geographic impact of T. Hauth'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 T. Hauth with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites T. Hauth more than expected).
Fields of papers citing papers by T. Hauth
This network shows the impact of papers produced by T. Hauth. 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 T. Hauth. The network helps show where T. Hauth may publish in the future.
Co-authors
The 24 scholars most cited alongside T. Hauth, 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 | 2018 | 38 | |
| 2 | 2014 | 18 | |
| 3 | 2014 | 7 | |
| 4 | 2012 | 5 | |
| 5 | 2016 | 4 | |
| 6 | 2017 | 4 | |
| 7 | 2017 | 4 | |
| 8 | 2019 | 2 | |
| 9 | 2018 | 2 | |
| 10 | 2011 | 1 | |
| 11 | 2017 | 1 | |
| 12 | 2015 | 1 | |
| 13 | 2015 | 0 | |
| 14 | 2017 | 0 |
About T. Hauth
T. Hauth is a scholar working on Computer Networks and Communications, Nuclear and High Energy Physics, Information Systems and Management, Artificial Intelligence and Hardware and Architecture, having authored 14 papers that have together received 87 indexed citations. Recurring topics across this work include Distributed and Parallel Computing Systems (10 papers), Advanced Data Storage Technologies (6 papers), Particle physics theoretical and experimental studies (6 papers), Particle Detector Development and Performance (4 papers), Scientific Computing and Data Management (4 papers), Computational Physics and Python Applications (2 papers), Parallel Computing and Optimization Techniques (2 papers) and Dark Matter and Cosmic Phenomena (1 paper). The work is most often cited by research in Nuclear and High Energy Physics (51 citations), Hardware and Architecture (19 citations), Radiation (12 citations), Information Systems and Management (9 citations) and Computer Networks and Communications (28 citations). T. Hauth has collaborated with scholars based in Germany, Japan and Switzerland. Frequent co-authors include M. Ritter, C. Pulvermacher, Vincenzo Innocente, N. Braun, T. Kuhr, D. Piparo, G. Quast, Peter Sanders, M. Giffels and Daniel Funke. Their work appears in journals such as Journal of Physics Conference Series, SHILAP Revista de lepidopterología and arXiv (Cornell University).
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.