Mark Raasveldt
-
- Advanced Database Systems and Queries 10
- Distributed systems and fault tolerance 4
- Advanced Data Storage Technologies 2
- Signal Processing top 10%
- Data Management and Algorithms 4
-
- Scientific Computing and Data Management 3
- Information Systems top 10%
- Cloud Computing and Resource Management 2
- Data Mining Algorithms and Applications 1
-
- Data Quality and Management 2
- Journals
- Proceedings of the VLDB Endowment (3 papers)Data Archiving and Networked Services (DANS) (5 papers)Centrum Wiskunde & Informatica (CWI), the national research institute for mathematics and computer science in the Netherlands (3 papers)
- Partner nations
- NetherlandsGermanyUnited States
In The Last Decade
Mark Raasveldt
10 papers receiving 203 citations
Peers
Comparison fields: 5 of 39
- Computer Networks and Communications 144
- Signal Processing 60
- Information Systems and Management 32
- Hardware and Architecture 26
- Information Systems 67
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-authorship network
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 | 2022 | 9 | |
| 2 | Data Management for Data Science - Towards Embedded Analytics | 2020 | 8 |
| 3 | 2019 | 12 | |
| 4 | 2019 | 128 | |
| 5 | Optimizing group-by and aggregation using GPU-CPU co-processing | 2018 | 3 |
| 6 | Integrating analytics with relational databases | 2018 | 0 |
| 7 | 2018 | 11 | |
| 8 | 2018 | 3 | |
| 9 | 2018 | 7 | |
| 10 | 2017 | 18 | |
| 11 | 2016 | 19 |
About Mark Raasveldt
Mark Raasveldt is a scholar working on Signal Processing, Computer Networks and Communications and Information Systems and Management, having authored 11 papers that have together received 218 indexed citations. Recurring topics across this work include Advanced Database Systems and Queries (10 papers), Distributed systems and fault tolerance (4 papers), Data Management and Algorithms (4 papers), Scientific Computing and Data Management (3 papers), Data Quality and Management (2 papers), Cloud Computing and Resource Management (2 papers), Advanced Data Storage Technologies (2 papers) and Data Mining Algorithms and Applications (1 paper). The work is most often cited by research in Computer Networks and Communications (144 citations), Signal Processing (60 citations) and Information Systems and Management (32 citations). Mark Raasveldt has collaborated with scholars based in Netherlands, Germany and United States. Frequent co-authors include Hannes Mühleisen, Stefan Manegold, Thomas Neumann, Dominik Moritz 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.