Andreas Kipf
Impact in
- Signal Processing top 5%
- Data Management and Algorithms
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- Advanced Database Systems and Queries
- Advanced Data Storage Technologies
- Caching and Content Delivery
Papers in
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- Advanced Database Systems and Queries 21
- Advanced Data Storage Technologies 5
- Caching and Content Delivery 5
- Distributed systems and fault tolerance 4
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- Data Management and Algorithms 24
- Co-authors
- Alfons Kemper (20 shared papers)Thomas Neumann (18 shared papers)Tim Kraska (11 shared papers)Ryan Marcus (6 shared papers)Alexander van Renen (7 shared papers)Peter Boncz (7 shared papers)Viktor Leis (3 shared papers)Parimarjan Negi (2 shared papers)
- Journals
- Proceedings of the VLDB Endowment (9 papers)ACM Transactions on Database Systems (1 paper)Data Science and Engineering (1 paper)ACM SIGMOD Record (1 paper)The VLDB Journal (1 paper)
- Partner nations
- GermanyUnited StatesNetherlands
In The Last Decade
Andreas Kipf
33 papers receiving 503 citations
Peers
Comparison fields: 5 of 57
- Signal Processing 281
- Computer Networks and Communications 341
- Geography, Planning and Development 56
- Hardware and Architecture 52
- Information Systems 140
Countries citing papers authored by Andreas Kipf
This map shows the geographic impact of Andreas Kipf'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 Andreas Kipf with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Andreas Kipf more than expected).
Fields of papers citing papers by Andreas Kipf
This network shows the impact of papers produced by Andreas Kipf. 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 Andreas Kipf. The network helps show where Andreas Kipf may publish in the future.
Co-authors
The 25 scholars most cited alongside Andreas Kipf, 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 37 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2020 | 106 | |
| 2 | 2018 | 74 | |
| 3 | 2021 | 37 | |
| 4 | 2020 | 37 | |
| 5 | 2023 | 34 | |
| 6 | 2019 | 21 | |
| 7 | 2022 | 19 | |
| 8 | 2016 | 17 | |
| 9 | Learned Cardinalities: Estimating Correlated Joins with Deep Learning | 2018 | 14 |
| 10 | 2015 | 13 | |
| 11 | 2017 | 13 | |
| 12 | 2019 | 11 | |
| 13 | 2024 | 10 | |
| 14 | 2020 | 10 | |
| 15 | 2018 | 10 | |
| 16 | 2020 | 9 | |
| 17 | 2022 | 9 | |
| 18 | 2022 | 8 | |
| 19 | 2019 | 8 | |
| 20 | 2018 | 8 |
About Andreas Kipf
Andreas Kipf is a scholar working on Computer Networks and Communications, Signal Processing, Information Systems, Artificial Intelligence and Geography, Planning and Development, having authored 37 papers that have together received 521 indexed citations. Recurring topics across this work include Data Management and Algorithms (24 papers), Advanced Database Systems and Queries (21 papers), Cloud Computing and Resource Management (8 papers), Geographic Information Systems Studies (5 papers), Algorithms and Data Compression (5 papers), Advanced Data Storage Technologies (5 papers), Caching and Content Delivery (5 papers) and Distributed systems and fault tolerance (4 papers). The work is most often cited by research in Signal Processing (281 citations), Computer Networks and Communications (341 citations), Geography, Planning and Development (56 citations), Hardware and Architecture (52 citations) and Information Systems (140 citations). Andreas Kipf has collaborated with scholars based in Germany, United States and Netherlands. Frequent co-authors include Alfons Kemper, Thomas Neumann, Tim Kraska, Ryan Marcus, Alexander van Renen, Peter Boncz, Viktor Leis, Parimarjan Negi, Nesime Tatbul and Mohammad Alizadeh. Their work appears in journals such as Proceedings of the VLDB Endowment, ACM Transactions on Database Systems, Data Science and Engineering, ACM SIGMOD Record and The VLDB Journal.
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.