Thomas Bernecker
Impact in
- Signal Processing top 2%
- Data Management and Algorithms
- Time Series Analysis and Forecasting
- Information Systems top 5%
- Data Mining Algorithms and Applications
Papers in
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- Data Management and Algorithms 20
- Time Series Analysis and Forecasting 4
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- Advanced Database Systems and Queries 8
- Co-authors
- Hans‐Peter Kriegel (19 shared papers)Matthias Renz (19 shared papers)Florian Verhein (3 shared papers)Andreas Züfle (8 shared papers)Tobias Emrich (8 shared papers)Nikos Mamoulis (5 shared papers)John A. Webb (1 shared paper)Alan D. Partridge (1 shared paper)
In The Last Decade
Thomas Bernecker
29 papers receiving 442 citations
Peers
Comparison fields: 5 of 63
- Signal Processing 332
- Information Systems 233
- Geography, Planning and Development 54
- Computational Theory and Mathematics 151
- Computer Networks and Communications 121
Countries citing papers authored by Thomas Bernecker
This map shows the geographic impact of Thomas Bernecker'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 Thomas Bernecker with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Thomas Bernecker more than expected).
Fields of papers citing papers by Thomas Bernecker
This network shows the impact of papers produced by Thomas Bernecker. 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 Thomas Bernecker. The network helps show where Thomas Bernecker may publish in the future.
Co-authors
The 25 scholars most cited alongside Thomas Bernecker, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 29 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2009 | 208 | |
| 2 | 2011 | 45 | |
| 3 | 2010 | 33 | |
| 4 | 2011 | 32 | |
| 5 | 1997 | 25 | |
| 6 | 2012 | 17 | |
| 7 | 2009 | 15 | |
| 8 | 2012 | 15 | |
| 9 | 2009 | 12 | |
| 10 | 2010 | 9 | |
| 11 | 2011 | 8 | |
| 12 | 2010 | 6 | |
| 13 | 2008 | 6 | |
| 14 | 2015 | 5 | |
| 15 | 2011 | 5 | |
| 16 | 2009 | 4 | |
| 17 | 2012 | 3 | |
| 18 | 2011 | 3 | |
| 19 | 2018 | 2 | |
| 20 | 2009 | 2 |
About Thomas Bernecker
Thomas Bernecker is a scholar working on Signal Processing, Computer Networks and Communications, Geography, Planning and Development, Geology and Ocean Engineering, having authored 29 papers that have together received 465 indexed citations. Recurring topics across this work include Data Management and Algorithms (20 papers), Advanced Database Systems and Queries (8 papers), Geographic Information Systems Studies (7 papers), Geological and Geophysical Studies (6 papers), Data Mining Algorithms and Applications (4 papers), Rough Sets and Fuzzy Logic (4 papers), Reservoir Engineering and Simulation Methods (4 papers) and Time Series Analysis and Forecasting (4 papers). The work is most often cited by research in Signal Processing (332 citations), Information Systems (233 citations), Geography, Planning and Development (54 citations), Computational Theory and Mathematics (151 citations) and Computer Networks and Communications (121 citations). Thomas Bernecker has collaborated with scholars based in Germany, Australia and Hong Kong. Frequent co-authors include Hans‐Peter Kriegel, Matthias Renz, Florian Verhein, Andreas Züfle, Tobias Emrich, Nikos Mamoulis, John A. Webb, Alan D. Partridge, Arthur Zimek and Erich Schubert. Their work appears in journals such as Lecture notes in computer science, IEEE Transactions on Knowledge and Data Engineering, Knowledge and Information Systems, Proceedings of the VLDB Endowment and GeoInformatica.
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.