Jonathan Madsen
Impact in
- Hardware and Architecture top 5%
- Parallel Computing and Optimization Techniques
- Embedded Systems Design Techniques
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- Distributed and Parallel Computing Systems
- Advanced Data Storage Technologies
Papers in
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- Parallel Computing and Optimization Techniques 6
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- Advanced Data Storage Technologies 5
- Distributed and Parallel Computing Systems 3
- Interconnection Networks and Systems 1
- Co-authors
- Sivasankaran RajamanickamDavid PoliakoffDamien Lebrun-GrandiéChristian Robert TrottRahulkumar GayatriAmy PowellMikael SimbergJeff Miles
- Journals
- IEEE Transactions on Parallel and Distributed Systems (1 paper)Physics in Medicine and Biology (1 paper)Computing in Science & Engineering (1 paper)SHILAP Revista de lepidopterología (1 paper)OakTrust (Texas A&M University Libraries) (1 paper)
- Partner nations
- United StatesSwitzerlandGermany
In The Last Decade
Jonathan Madsen
8 papers receiving 283 citations
Hit Papers
Peers
Comparison fields: 5 of 59
- Hardware and Architecture 129
- Computer Networks and Communications 116
- Computational Mathematics 3
- Nuclear and High Energy Physics 33
- Astronomy and Astrophysics 36
Countries citing papers authored by Jonathan Madsen
This map shows the geographic impact of Jonathan Madsen'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 Jonathan Madsen with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jonathan Madsen more than expected).
Fields of papers citing papers by Jonathan Madsen
This network shows the impact of papers produced by Jonathan Madsen. 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 Jonathan Madsen. The network helps show where Jonathan Madsen may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Jonathan Madsen, 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 | Kokkos 3: Programming Model Extensions for the Exascale Era Hit paper breakdown → | 2021 | 226 |
| 2 | 2021 | 54 | |
| 3 | 2021 | 4 | |
| 4 | Timemory: Modular Performance Analysis for HPC. | 2020 | 2 |
| 5 | 2020 | 1 | |
| 6 | 2019 | 6 | |
| 7 | 2017 | 2 | |
| 8 | 2014 | 4 |
About Jonathan Madsen
Jonathan Madsen is a scholar working on Hardware and Architecture, Computer Networks and Communications, Information Systems and Management, Signal Processing and Nuclear and High Energy Physics, having authored 8 papers that have together received 299 indexed citations. Recurring topics across this work include Parallel Computing and Optimization Techniques (6 papers), Advanced Data Storage Technologies (5 papers), Distributed and Parallel Computing Systems (3 papers), Sparse and Compressive Sensing Techniques (1 paper), Image and Signal Denoising Methods (1 paper), Interconnection Networks and Systems (1 paper), Particle Detector Development and Performance (1 paper) and Atomic and Molecular Physics (1 paper). The work is most often cited by research in Hardware and Architecture (129 citations), Computer Networks and Communications (116 citations), Computational Mathematics (3 citations), Nuclear and High Energy Physics (33 citations) and Astronomy and Astrophysics (36 citations). Jonathan Madsen has collaborated with scholars based in United States, Switzerland and Germany. Frequent co-authors include Sivasankaran Rajamanickam, David Poliakoff, Damien Lebrun-Grandié, Christian Robert Trott, Rahulkumar Gayatri, Amy Powell, Mikael Simberg, Jeff Miles, Jan Ciesko and Nathan Ellingwood. Their work appears in journals such as IEEE Transactions on Parallel and Distributed Systems, Physics in Medicine and Biology, Computing in Science & Engineering, SHILAP Revista de lepidopterología and OakTrust (Texas A&M University Libraries).
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.