Patrick Aerts
Impact in
- Hardware and Architecture top 2%
- Parallel Computing and Optimization Techniques
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- Advanced Data Storage Technologies
- Distributed and Parallel Computing Systems
- Distributed systems and fault tolerance
- Interconnection Networks and Systems
Papers in
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- Parallel Computing and Optimization Techniques 2
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- Electron Spin Resonance Studies 1
- Co-authors
- Hilde Bosmans (1 shared paper)Hans Bauer (1 shared paper)Yebin Jiang (1 shared paper)Paul Van Hecke (1 shared paper)Guy Marchal (1 shared paper)Jack J. Dongarra (1 shared paper)Paul C. Messina (1 shared paper)Anne Trefethen (1 shared paper)
- Journals
- The International Journal of High Performance Computing Applications (2 papers)Journal of Computer Assisted Tomography (1 paper)
- Partner nations
- United StatesNetherlandsUnited Kingdom
In The Last Decade
Patrick Aerts
4 papers receiving 605 citations
Patrick Aerts's Hit Papers
Peers
Comparison fields: 5 of 75
- Hardware and Architecture 330
- Computer Networks and Communications 428
- Information Systems and Management 45
- Information Systems 141
- Computational Theory and Mathematics 56
Countries citing papers authored by Patrick Aerts
This map shows the geographic impact of Patrick Aerts'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 Patrick Aerts with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Patrick Aerts more than expected).
Fields of papers citing papers by Patrick Aerts
This network shows the impact of papers produced by Patrick Aerts. 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 Patrick Aerts. The network helps show where Patrick Aerts may publish in the future.
Co-authors
The 14 scholars most cited alongside Patrick Aerts, 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 | The International Exascale Software Project roadmap Hit paper breakdown → | 2011 | 520 |
| 2 | 2009 | 55 | |
| 3 | 1991 | 42 | |
| 4 | Research software sustainability in the Netherlands: Current practices and recommendations | 2021 | 4 |
About Patrick Aerts
Patrick Aerts is a scholar working on Hardware and Architecture, Biophysics, Computer Networks and Communications, Information Systems and Management and Radiology, Nuclear Medicine and Imaging, having authored 4 papers that have together received 621 indexed citations. Recurring topics across this work include Advanced Data Storage Technologies (2 papers), Parallel Computing and Optimization Techniques (2 papers), Distributed and Parallel Computing Systems (1 paper), Scientific Computing and Data Management (1 paper), Research Data Management Practices (1 paper), Distributed systems and fault tolerance (1 paper), Lanthanide and Transition Metal Complexes (1 paper) and Electron Spin Resonance Studies (1 paper). The work is most often cited by research in Hardware and Architecture (330 citations), Computer Networks and Communications (428 citations), Information Systems and Management (45 citations), Information Systems (141 citations) and Computational Theory and Mathematics (56 citations). Patrick Aerts has collaborated with scholars based in United States, Netherlands and United Kingdom. Frequent co-authors include Hilde Bosmans, Hans Bauer, Yebin Jiang, Paul Van Hecke, Guy Marchal, Jack J. Dongarra, Paul C. Messina, Anne Trefethen, Pete Beckman and Thomas Lippert. Their work appears in journals such as The International Journal of High Performance Computing Applications and Journal of Computer Assisted Tomography.
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.