Franz Faerber
Impact in
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- Advanced Database Systems and Queries
- Advanced Data Storage Technologies
- Distributed systems and fault tolerance
- Hardware and Architecture top 10%
- Parallel Computing and Optimization Techniques
Papers in
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- Advanced Database Systems and Queries 13
- Advanced Data Storage Technologies 2
- Distributed systems and fault tolerance 2
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- Data Management and Algorithms 9
- Co-authors
- Alexander Zeier (2 shared papers)Ingo Müller (1 shared paper)Ismail Oukid (1 shared paper)Kai-Uwe Sattler (2 shared papers)Thomas Willhalm (1 shared paper)Wolfgang Lehner (5 shared papers)Martin Grund (1 shared paper)Hasso Plattner (1 shared paper)
- Journals
- The VLDB Journal (1 paper)Proceedings of the VLDB Endowment (1 paper)Lecture notes in computer science (4 papers)Qucosa (Saxon State and University Library Dresden) (4 papers)Very Large Data Bases (1 paper)
- Partner nations
- GermanySwitzerlandUnited States
In The Last Decade
Franz Faerber
15 papers receiving 164 citations
Peers
Comparison fields: 5 of 21
- Computer Networks and Communications 163
- Hardware and Architecture 40
- Signal Processing 52
- Information Systems 66
- Artificial Intelligence 64
Countries citing papers authored by Franz Faerber
This map shows the geographic impact of Franz Faerber'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 Franz Faerber with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Franz Faerber more than expected).
Fields of papers citing papers by Franz Faerber
This network shows the impact of papers produced by Franz Faerber. 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 Franz Faerber. The network helps show where Franz Faerber may publish in the future.
Co-authors
The 18 scholars most cited alongside Franz Faerber, 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 | Vectorizing Database Column Scans with Complex Predicates | 2013 | 44 |
| 2 | 2010 | 30 | |
| 3 | 2010 | 28 | |
| 4 | 2011 | 14 | |
| 5 | 2013 | 13 | |
| 6 | 2010 | 11 | |
| 7 | 2012 | 11 | |
| 8 | 2015 | 11 | |
| 9 | 2015 | 8 | |
| 10 | 2008 | 6 | |
| 11 | 2011 | 5 | |
| 12 | 2015 | 4 | |
| 13 | 2012 | 2 | |
| 14 | 2010 | 2 | |
| 15 | 2016 | 2 |
About Franz Faerber
Franz Faerber is a scholar working on Computer Networks and Communications, Signal Processing, Artificial Intelligence, Information Systems and Information Systems and Management, having authored 15 papers that have together received 191 indexed citations. Recurring topics across this work include Advanced Database Systems and Queries (13 papers), Data Management and Algorithms (9 papers), Algorithms and Data Compression (3 papers), Semantic Web and Ontologies (3 papers), Data Mining Algorithms and Applications (2 papers), Advanced Data Storage Technologies (2 papers), Distributed systems and fault tolerance (2 papers) and Cloud Computing and Resource Management (1 paper). The work is most often cited by research in Computer Networks and Communications (163 citations), Hardware and Architecture (40 citations), Signal Processing (52 citations), Information Systems (66 citations) and Artificial Intelligence (64 citations). Franz Faerber has collaborated with scholars based in Germany, Switzerland and United States. Frequent co-authors include Alexander Zeier, Ingo Müller, Ismail Oukid, Kai-Uwe Sattler, Thomas Willhalm, Wolfgang Lehner, Martin Grund, Hasso Plattner, Jens Krueger and Carsten Binnig. Their work appears in journals such as The VLDB Journal, Proceedings of the VLDB Endowment, Lecture notes in computer science, Qucosa (Saxon State and University Library Dresden) and Very Large Data Bases.
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.