Tilmann Rabl
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- Advanced Database Systems and Queries 32
- Advanced Data Storage Technologies 32
- Caching and Content Delivery 13
- Information Systems top 1%
- Cloud Computing and Resource Management 40
- Hardware and Architecture top 5%
- Parallel Computing and Optimization Techniques 16
- Signal Processing top 5%
- Data Management and Algorithms 15
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- Scientific Computing and Data Management 10
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- Data Stream Mining Techniques 12
Tilmann Rabl
82 papers receiving 1.3k citations
Peers
Comparison fields: 5 of 81
- Computer Networks and Communications 981
- Information Systems 684
- Hardware and Architecture 205
- Signal Processing 231
- Information Systems and Management 115
Countries citing papers authored by Tilmann Rabl
This map shows the geographic impact of Tilmann Rabl'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 Tilmann Rabl with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Tilmann Rabl more than expected).
Fields of papers citing papers by Tilmann Rabl
This network shows the impact of papers produced by Tilmann Rabl. 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 Tilmann Rabl. The network helps show where Tilmann Rabl may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Tilmann Rabl, 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 | 2025 | 0 | |
| 2 | 2025 | 0 | |
| 3 | 2025 | 2 | |
| 4 | Viper: An Efficient Hybrid PMem-DRAM Key-Value Store. | 2021 | 1 |
| 5 | 2021 | 29 | |
| 6 | 2020 | 58 | |
| 7 | 2020 | 35 | |
| 8 | 2019 | 2 | |
| 9 | Benchmarking Distributed Stream Processing Engines. | 2018 | 18 |
| 10 | 2018 | 4 | |
| 11 | 2018 | 10 | |
| 12 | Gilbert: Declarative Sparse Linear Algebra on Massively Parallel Dataflow Systems | 2017 | 2 |
| 13 | 2017 | 11 | |
| 14 | Die Apache Flink Plattform zur parallelen Analyse von Datenstromen und Stapeldaten | 2015 | 1 |
| 15 | 2015 | 5 | |
| 16 | Materialized views in Cassandra | 2014 | 2 |
| 17 | Optimizing key-value stores for hybrid storage architectures | 2014 | 5 |
| 18 | 2013 | 29 | |
| 19 | Design and Implementation of the Fast Send Protocol | 2009 | 1 |
| 20 | 2008 | 6 |
About Tilmann Rabl
Tilmann Rabl is a scholar working on Computer Networks and Communications, Hardware and Architecture and Information Systems, having authored 88 papers that have together received 1.3k indexed citations. Recurring topics across this work include Cloud Computing and Resource Management (40 papers), Advanced Database Systems and Queries (32 papers), Advanced Data Storage Technologies (32 papers), Parallel Computing and Optimization Techniques (16 papers), Data Management and Algorithms (15 papers), Caching and Content Delivery (13 papers), Data Stream Mining Techniques (12 papers) and Scientific Computing and Data Management (10 papers). The work is most often cited by research in Computer Networks and Communications (981 citations), Information Systems (684 citations) and Hardware and Architecture (205 citations). Tilmann Rabl has collaborated with scholars based in Germany, Canada and United States. Frequent co-authors include Hans‐Arno Jacobsen, Volker Markl, Meikel Poess, Sebastian Breß, Steffen Zeuch, Mohammad Sadoghi, Minqing Hu, Francois Raab, Alain Crolotte and Ahmad Ghazal. Their work appears in journals such as Proceedings of the VLDB Endowment, ACM SIGMOD Record, The VLDB Journal, IEEE Transactions on Services Computing and Big Data.
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.