Patrick Aerts
Impact in
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- Parallel Computing and Optimization Techniques
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- Advanced MRI Techniques and Applications
- MRI in cancer diagnosis
Papers in
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- Distributed systems and fault tolerance 1
- Advanced Data Storage Technologies 1
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- Big Data and Business Intelligence 1
- Co-authors
- Paul Van Hecke (1 shared paper)Hilde Bosmans (1 shared paper)Yebin Jiang (1 shared paper)Hans Bauer (1 shared paper)Guy Marchal (1 shared paper)Satoshi Matsuoka (1 shared paper)Mateo Valero (1 shared paper)Terry Moore (1 shared paper)
- Journals
- The International Journal of High Performance Computing Applications (1 paper)Journal of Computer Assisted Tomography (1 paper)Data Archiving and Networked Services (DANS) (1 paper)
- Partner nations
- NetherlandsSpainJapan
In The Last Decade
Patrick Aerts
3 papers receiving 69 citations
Peers
Comparison fields: 5 of 31
- Hardware and Architecture 17
- Radiology, Nuclear Medicine and Imaging 31
- Computer Networks and Communications 23
- Information Systems and Management 3
- Information Systems 9
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 15 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 | 1991 | 39 | |
| 2 | 2009 | 31 | |
| 3 | A Conceptual Approach To Data Stewardship and Software Sustainability : Scientists in charge, with a little help from their friends | 2016 | 1 |
About Patrick Aerts
Patrick Aerts is a scholar working on Computer Networks and Communications, Management Information Systems, Information Systems, Information Systems and Management and Hardware and Architecture, having authored 3 papers that have together received 71 indexed citations. Recurring topics across this work include Lanthanide and Transition Metal Complexes (1 paper), Scientific Computing and Data Management (1 paper), Research Data Management Practices (1 paper), Big Data and Business Intelligence (1 paper), Distributed systems and fault tolerance (1 paper), Parallel Computing and Optimization Techniques (1 paper), Electron Spin Resonance Studies (1 paper) and Advanced Data Storage Technologies (1 paper). The work is most often cited by research in Hardware and Architecture (17 citations), Radiology, Nuclear Medicine and Imaging (31 citations), Computer Networks and Communications (23 citations), Information Systems and Management (3 citations) and Information Systems (9 citations). Patrick Aerts has collaborated with scholars based in Netherlands, Spain and Japan. Frequent co-authors include Paul Van Hecke, Hilde Bosmans, Yebin Jiang, Hans Bauer, Guy Marchal, Satoshi Matsuoka, Mateo Valero, Terry Moore, Thomas Lippert and Paul Messina. Their work appears in journals such as The International Journal of High Performance Computing Applications, Journal of Computer Assisted Tomography and Data Archiving and Networked Services (DANS).
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.