Jürgen Krämer

521 total citations
15 papers, 313 citations indexed

About

Jürgen Krämer is a scholar working on Computer Networks and Communications, Signal Processing and Artificial Intelligence. According to data from OpenAlex, Jürgen Krämer has authored 15 papers receiving a total of 313 indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Computer Networks and Communications, 14 papers in Signal Processing and 10 papers in Artificial Intelligence. Recurrent topics in Jürgen Krämer's work include Data Management and Algorithms (14 papers), Advanced Database Systems and Queries (14 papers) and Data Stream Mining Techniques (4 papers). Jürgen Krämer is often cited by papers focused on Data Management and Algorithms (14 papers), Advanced Database Systems and Queries (14 papers) and Data Stream Mining Techniques (4 papers). Jürgen Krämer collaborates with scholars based in Germany and Hong Kong. Jürgen Krämer's co-authors include Bernhard Seeger, Martin Schneider, Jens-Peter Dittrich, Dimitris Papadias, Yin Yang, Malte Schwarzkopf and W. Wesemann and has published in prestigious journals such as Life Sciences, IEEE Transactions on Knowledge and Data Engineering and ACM Transactions on Database Systems.

In The Last Decade

Jürgen Krämer

14 papers receiving 271 citations

Peers

Jürgen Krämer
Comparison fields: 5 of 39
  • Computer Networks and Communications 262
  • Signal Processing 208
  • Artificial Intelligence 151
  • Information Systems 58
  • Computer Vision and Pattern Recognition 31
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Citations per field, relative to Jürgen Krämer
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Citations per year, relative to Jürgen Krämer
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Countries citing papers authored by Jürgen Krämer

Since Specialization
Citations

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

Fields of papers citing papers by Jürgen Krämer

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jürgen Krämer

This figure shows the co-authorship network connecting the top 25 collaborators of Jürgen Krämer. A scholar is included among the top collaborators of Jürgen Krämer 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 Jürgen Krämer. Jürgen Krämer is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

15 of 15 papers shown
# Work Indexed citations
1 67
2 4
3 26
4 6
5 21
6 11
7 8
8 13
9
International Conference on Semantics of a Networked World: Semantics of Sequence and Time Dependent Data (ICSNW'06)-Dynamic Plan Migration for Snapshot-Equivalent Continuous Queries in Data Stream
1
10 8
11
A Temporal Foundation for Continuous Queries over Data Streams
33
12 51
13
A Status Report on XXL - a Software Infrastructure for Efficient Query Processing.
5
14
XXL - A Library Approach to Supporting Efficient Implementations of Advanced Database Queries
57
15 2

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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