Mark Raasveldt
Impact in
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- Advanced Database Systems and Queries
- Advanced Data Storage Technologies
- Distributed systems and fault tolerance
- Signal Processing top 10%
- Data Management and Algorithms
Papers in
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- Advanced Database Systems and Queries 10
- Distributed systems and fault tolerance 4
- Advanced Data Storage Technologies 2
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- Data Management and Algorithms 4
- Time Series Analysis and Forecasting 1
- Co-authors
- Hannes Mühleisen (8 shared papers)Stefan Manegold (2 shared papers)Dominik Moritz (1 shared paper)Thomas Neumann (1 shared paper)Peter Boncz (1 shared paper)
- Journals
- Proceedings of the VLDB Endowment (3 papers)Data Archiving and Networked Services (DANS) (4 papers)Centrum Wiskunde & Informatica (CWI), the national research institute for mathematics and computer science in the Netherlands (4 papers)
- Partner nations
- NetherlandsGermanyUnited States
In The Last Decade
Mark Raasveldt
10 papers receiving 215 citations
Peers
Comparison fields: 5 of 33
- Computer Networks and Communications 149
- Signal Processing 62
- Information Systems and Management 32
- Hardware and Architecture 28
- Information Systems 70
Countries citing papers authored by Mark Raasveldt
This map shows the geographic impact of Mark Raasveldt'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 Mark Raasveldt with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Mark Raasveldt more than expected).
Fields of papers citing papers by Mark Raasveldt
This network shows the impact of papers produced by Mark Raasveldt. 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 Mark Raasveldt. The network helps show where Mark Raasveldt may publish in the future.
Co-authors
The 5 scholars most cited alongside Mark Raasveldt, 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 | 2019 | 138 | |
| 2 | 2016 | 19 | |
| 3 | 2017 | 19 | |
| 4 | 2019 | 12 | |
| 5 | 2018 | 11 | |
| 6 | 2022 | 10 | |
| 7 | Data Management for Data Science - Towards Embedded Analytics | 2020 | 8 |
| 8 | 2018 | 7 | |
| 9 | Optimizing group-by and aggregation using GPU-CPU co-processing | 2018 | 3 |
| 10 | 2018 | 3 | |
| 11 | Integrating analytics with relational databases | 2018 | 0 |
About Mark Raasveldt
Mark Raasveldt is a scholar working on Computer Networks and Communications, Signal Processing, Information Systems, Information Systems and Management and Artificial Intelligence, having authored 11 papers that have together received 230 indexed citations. Recurring topics across this work include Advanced Database Systems and Queries (10 papers), Data Management and Algorithms (4 papers), Distributed systems and fault tolerance (4 papers), Scientific Computing and Data Management (3 papers), Cloud Computing and Resource Management (2 papers), Advanced Data Storage Technologies (2 papers), Data Quality and Management (2 papers) and Time Series Analysis and Forecasting (1 paper). The work is most often cited by research in Computer Networks and Communications (149 citations), Signal Processing (62 citations), Information Systems and Management (32 citations), Hardware and Architecture (28 citations) and Information Systems (70 citations). Mark Raasveldt has collaborated with scholars based in Netherlands, Germany and United States. Frequent co-authors include Hannes Mühleisen, Stefan Manegold, Dominik Moritz, Thomas Neumann and Peter Boncz. Their work appears in journals such as Proceedings of the VLDB Endowment, Data Archiving and Networked Services (DANS) and Centrum Wiskunde & Informatica (CWI), the national research institute for mathematics and computer science in the Netherlands.
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.