Angelika Reiser
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- Advanced Data Storage Technologies 13
- Distributed and Parallel Computing Systems 12
- Peer-to-Peer Network Technologies 10
- Advanced Database Systems and Queries 10
- Distributed systems and fault tolerance 5
- Hardware and Architecture top 5%
- Parallel Computing and Optimization Techniques 3
- Information Systems top 5%
- Cloud Computing and Resource Management 8
- Signal Processing top 10%
- Data Management and Algorithms 6
In The Last Decade
Angelika Reiser
26 papers receiving 531 citations
Peers
Comparison fields: 5 of 36
- Computer Networks and Communications 506
- Hardware and Architecture 103
- Information Systems 238
- Signal Processing 85
- Information Systems and Management 23
Countries citing papers authored by Angelika Reiser
This map shows the geographic impact of Angelika Reiser'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 Angelika Reiser with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Angelika Reiser more than expected).
Fields of papers citing papers by Angelika Reiser
This network shows the impact of papers produced by Angelika Reiser. 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 Angelika Reiser. The network helps show where Angelika Reiser may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Angelika Reiser, 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 | 2014 | 39 | |
| 2 | 2014 | 10 | |
| 3 | ScyPer: A Hybrid OLTP&OLAP Distributed Main Memory Database System for Scalable Real-Time Analytics. | 2013 | 9 |
| 4 | 2013 | 22 | |
| 5 | 2012 | 90 | |
| 6 | HiSim: A Highly Extensible Large-Scale P2P Network Simulator. | 2011 | 1 |
| 7 | 2011 | 64 | |
| 8 | 2010 | 0 | |
| 9 | 2009 | 6 | |
| 10 | 2009 | 2 | |
| 11 | HiSbase: histogram-based P2P main memory data management | 2007 | 8 |
| 12 | 2006 | 14 | |
| 13 | 2006 | 5 | |
| 14 | StreamGlobe : processing and sharing data streams in grid-based P2P infrastructures | 2005 | 26 |
| 15 | Datenstrom-Management für e-Science mit StreamGlobe. | 2004 | 1 |
| 16 | 2002 | 0 | |
| 17 | Conquering the Search Space for the Calculation of the Maximal Frequent Set | 2000 | 1 |
| 18 | Dynamic Timestamp Allocation for Transactions in Database Systems. | 1982 | 34 |
| 19 | Distributed concurrency control in database systems | 1980 | 17 |
| 20 | 1980 | 125 |
About Angelika Reiser
Angelika Reiser is a scholar working on Computer Networks and Communications, Signal Processing and Information Systems, having authored 28 papers that have together received 583 indexed citations. Recurring topics across this work include Advanced Data Storage Technologies (13 papers), Distributed and Parallel Computing Systems (12 papers), Peer-to-Peer Network Technologies (10 papers), Advanced Database Systems and Queries (10 papers), Cloud Computing and Resource Management (8 papers), Data Management and Algorithms (6 papers), Distributed systems and fault tolerance (5 papers) and Parallel Computing and Optimization Techniques (3 papers). The work is most often cited by research in Computer Networks and Communications (506 citations), Hardware and Architecture (103 citations) and Information Systems (238 citations). Angelika Reiser has collaborated with scholars based in Germany, China and Italy. Frequent co-authors include Alfons Kemper, Raymond Bayer, Nikolaus Augsten, Tobias Mühlbauer, Thomas Neumann, Rudolf Bayer, Philipp Unterbrunner, Bernhard Bauer, Gerard Lemson and H. M. Adorf.
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.