Martin Kersten

7.5k total citations
159 papers, 3.5k citations indexed

About

Martin Kersten is a scholar working on Computer Networks and Communications, Signal Processing and Artificial Intelligence. According to data from OpenAlex, Martin Kersten has authored 159 papers receiving a total of 3.5k indexed citations (citations by other indexed papers that have themselves been cited), including 113 papers in Computer Networks and Communications, 87 papers in Signal Processing and 47 papers in Artificial Intelligence. Recurrent topics in Martin Kersten's work include Advanced Database Systems and Queries (96 papers), Data Management and Algorithms (80 papers) and Cloud Computing and Resource Management (23 papers). Martin Kersten is often cited by papers focused on Advanced Database Systems and Queries (96 papers), Data Management and Algorithms (80 papers) and Cloud Computing and Resource Management (23 papers). Martin Kersten collaborates with scholars based in Netherlands, United States and Germany. Martin Kersten's co-authors include Stefan Manegold, Peter Boncz, Niels Nes, Stratos Idreos, Romulo Gonçalves, Lefteris Sidirourgos, Albrecht Schmidt, Umeshwar Dayal, David Lomet and Guy M. Lohman and has published in prestigious journals such as Communications of the ACM, IEEE Transactions on Software Engineering and IEEE Transactions on Knowledge and Data Engineering.

In The Last Decade

Martin Kersten

147 papers receiving 3.1k citations

Peers

Martin Kersten
Comparison fields: 5 of 95
  • Computer Networks and Communications 2.6k
  • Signal Processing 1.6k
  • Artificial Intelligence 1.4k
  • Information Systems 1.1k
  • Computer Vision and Pattern Recognition 476
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Citations per field, relative to Martin Kersten
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Citations per year, relative to Martin Kersten
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Countries citing papers authored by Martin Kersten

Since Specialization
Citations

This map shows the geographic impact of Martin Kersten'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 Martin Kersten with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Martin Kersten more than expected).

Fields of papers citing papers by Martin Kersten

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Martin Kersten. 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 Martin Kersten. The network helps show where Martin Kersten may publish in the future.

Co-authorship network of co-authors of Martin Kersten

This figure shows the co-authorship network connecting the top 25 collaborators of Martin Kersten. A scholar is included among the top collaborators of Martin Kersten based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Martin Kersten. Martin Kersten is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
# Work Indexed citations
1
SQALPEL: A database performance platform
1
2
Big Data Space Fungus.
11
3
Big Data - Introduction to the special theme
4
4
Wildfire monitoring via the integration of remote sensing with innovative information technologies
2
5
SciBORQ: Scientific Data Management with Bounds on Runtime and Quality
54
6
Cracking the Database Store
29
7
A look back on the XML Benchmark project
0
8
Databases for Ambient Intelligence.
1
9
A Framework for Multi-Query Optimization
5
10
On multi-query optimization
2
11
Data surveyor: the nuggets in parallel
11
12
A Perspective on Databases and data mining
61
13
High performance support for OO traversals in Monet
9
14
Architectural Support for Data Mining.
14
15
Dynamic parallel query processing
1
16
Facets of database triggers
2
17
Using a graph rewriting system for databases
3
18
Using the Guardian Programming Paradigm to Support Database Evolution.
2
19
Towards an object-centered database language
3
20
A Conceptual Modelling Expert System.
6

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.

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