Tim Hegeman
Impact in
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- Graph Theory and Algorithms
- Information Systems top 5%
- Cloud Computing and Resource Management
Papers in
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- Advanced Data Storage Technologies 3
- Distributed and Parallel Computing Systems 3
- Peer-to-Peer Network Technologies 2
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- Cloud Computing and Resource Management 7
- Co-authors
- Alexandru Iosup (9 shared papers)Mihai Capotă (4 shared papers)Arnau Prat-Pèrez (2 shared papers)Peter Boncz (2 shared papers)Orri Erling (1 shared paper)Narayanan Sundaram (1 shared paper)Michael Anderson (1 shared paper)Yinglong Xia (1 shared paper)
- Journals
- IEEE Transactions on Parallel and Distributed Systems (1 paper)Computer (1 paper)Proceedings of the VLDB Endowment (1 paper)Research Repository (Delft University of Technology) (2 papers)TU/e Research Portal (1 paper)
- Partner nations
- NetherlandsSpainUnited States
In The Last Decade
Tim Hegeman
10 papers receiving 171 citations
Peers
Comparison fields: 5 of 21
- Computer Vision and Pattern Recognition 104
- Information Systems 108
- Computer Networks and Communications 104
- Information Systems and Management 24
- Hardware and Architecture 21
Countries citing papers authored by Tim Hegeman
This map shows the geographic impact of Tim Hegeman'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 Tim Hegeman with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Tim Hegeman more than expected).
Fields of papers citing papers by Tim Hegeman
This network shows the impact of papers produced by Tim Hegeman. 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 Tim Hegeman. The network helps show where Tim Hegeman may publish in the future.
Co-authors
The 16 scholars most cited alongside Tim Hegeman, 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 | 2016 | 82 | |
| 2 | 2015 | 41 | |
| 3 | 2020 | 21 | |
| 4 | 2015 | 13 | |
| 5 | 2013 | 13 | |
| 6 | 2017 | 6 | |
| 7 | 2014 | 2 | |
| 8 | Nebu: A topology-aware deployment system for reliable virtualized multi-cluster environments | 2014 | 1 |
| 9 | 2021 | 1 | |
| 10 | 2020 | 1 |
About Tim Hegeman
Tim Hegeman is a scholar working on Computer Networks and Communications, Information Systems, Computer Vision and Pattern Recognition, Information Systems and Management and Hardware and Architecture, having authored 10 papers that have together received 181 indexed citations. Recurring topics across this work include Cloud Computing and Resource Management (7 papers), Graph Theory and Algorithms (4 papers), Advanced Data Storage Technologies (3 papers), Distributed and Parallel Computing Systems (3 papers), Advanced Graph Neural Networks (2 papers), Scientific Computing and Data Management (2 papers), Parallel Computing and Optimization Techniques (2 papers) and Peer-to-Peer Network Technologies (2 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (104 citations), Information Systems (108 citations), Computer Networks and Communications (104 citations), Information Systems and Management (24 citations) and Hardware and Architecture (21 citations). Tim Hegeman has collaborated with scholars based in Netherlands, Spain and United States. Frequent co-authors include Alexandru Iosup, Mihai Capotă, Arnau Prat-Pèrez, Peter Boncz, Orri Erling, Narayanan Sundaram, Michael Anderson, Yinglong Xia, Lifeng Nai and Dick Epema. Their work appears in journals such as IEEE Transactions on Parallel and Distributed Systems, Computer, Proceedings of the VLDB Endowment, Research Repository (Delft University of Technology) and TU/e Research Portal.
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.