John Tramm
- Hardware and Architecture top 5%
- Parallel Computing and Optimization Techniques 11
- Radiation top 10%
- Nuclear Physics and Applications 11
-
- Advanced Data Storage Technologies 6
- Distributed and Parallel Computing Systems 5
- Aerospace Engineering top 10%
- Nuclear reactor physics and engineering 21
- Information Systems top 10%
- Cloud Computing and Resource Management 3
-
- Graphite, nuclear technology, radiation studies 6
- Nuclear Materials and Properties 4
- Co-authors
- Andrew SiegelTanzima IslamMartin SchulzBenoit ForgetKord SmithPaul RomanoSusan CoghlanJohannes Doerfert
- Journals
- Computer Physics Communications (2 papers)Annals of Nuclear Energy (2 papers)The International Journal of High Performance Computing Applications (2 papers)
- Partner nations
- United StatesUnited KingdomJapan
In The Last Decade
John Tramm
29 papers receiving 298 citations
Peers
Comparison fields: 5 of 36
- Hardware and Architecture 155
- Radiation 69
- Computer Networks and Communications 133
- Aerospace Engineering 111
- Information Systems 63
Countries citing papers authored by John Tramm
This map shows the geographic impact of John Tramm'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 Tramm with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites John Tramm more than expected).
Fields of papers citing papers by John Tramm
This network shows the impact of papers produced by John Tramm. 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 Tramm. The network helps show where John Tramm may publish in the future.
Co-authorship network
The 25 scholars most cited alongside John Tramm, 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 | 2025 | 0 | |
| 2 | 2025 | 0 | |
| 3 | 2024 | 0 | |
| 4 | 2024 | 0 | |
| 5 | 2024 | 7 | |
| 6 | 2024 | 3 | |
| 7 | 2024 | 1 | |
| 8 | 2024 | 2 | |
| 9 | 2024 | 2 | |
| 10 | 2023 | 4 | |
| 11 | 2023 | 6 | |
| 12 | 2023 | 2 | |
| 13 | 2022 | 2 | |
| 14 | 2021 | 3 | |
| 15 | 2020 | 14 | |
| 16 | 2017 | 21 | |
| 17 | SimpleMOC - A performance abstraction for 3D MOC | 2015 | 12 |
| 18 | 2015 | 7 | |
| 19 | 2014 | 21 | |
| 20 | 2014 | 6 |
About John Tramm
John Tramm is a scholar working on Hardware and Architecture, Radiation and Aerospace Engineering, having authored 34 papers that have together received 307 indexed citations. Recurring topics across this work include Nuclear reactor physics and engineering (21 papers), Parallel Computing and Optimization Techniques (11 papers), Nuclear Physics and Applications (11 papers), Graphite, nuclear technology, radiation studies (6 papers), Advanced Data Storage Technologies (6 papers), Distributed and Parallel Computing Systems (5 papers), Nuclear Materials and Properties (4 papers) and Cloud Computing and Resource Management (3 papers). The work is most often cited by research in Hardware and Architecture (155 citations), Radiation (69 citations) and Computer Networks and Communications (133 citations). John Tramm has collaborated with scholars based in United States, United Kingdom and Japan. Frequent co-authors include Andrew Siegel, Tanzima Islam, Martin Schulz, Benoit Forget, Kord Smith, Paul Romano, Susan Coghlan, Johannes Doerfert, Venkatram Vishwanath and Zhiling Lan. Their work appears in journals such as Computer Physics Communications, Annals of Nuclear Energy, The International Journal of High Performance Computing Applications, Parallel Computing and Journal of Computational Physics.
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.