Jonas Traub
Impact in
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- Advanced Database Systems and Queries
- Advanced Data Storage Technologies
- IoT and Edge/Fog Computing
- Distributed systems and fault tolerance
- Caching and Content Delivery
- Signal Processing top 5%
- Data Management and Algorithms
Papers in
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- Advanced Database Systems and Queries 16
- Advanced Data Storage Technologies 3
- IoT and Edge/Fog Computing 2
- Energy Efficient Wireless Sensor Networks 2
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- Data Stream Mining Techniques 11
- Co-authors
- Volker Markl (22 shared papers)Tilmann Rabl (11 shared papers)Sebastian Breß (10 shared papers)Asterios Katsifodimos (7 shared papers)Philipp M. Grulich (11 shared papers)Steffen Zeuch (3 shared papers)Seif Haridi (1 shared paper)Paris Carbone (1 shared paper)
- Journals
- Proceedings of the VLDB Endowment (3 papers)The VLDB Journal (2 papers)ACM Transactions on Database Systems (1 paper)ACM SIGMOD Record (1 paper)it - Information Technology (1 paper)
- Partner nations
- GermanyNetherlandsEgypt
In The Last Decade
Jonas Traub
21 papers receiving 316 citations
Peers
Comparison fields: 5 of 39
- Computer Networks and Communications 259
- Signal Processing 118
- Artificial Intelligence 157
- Information Systems 104
- Hardware and Architecture 17
Countries citing papers authored by Jonas Traub
This map shows the geographic impact of Jonas Traub'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 Jonas Traub with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jonas Traub more than expected).
Fields of papers citing papers by Jonas Traub
This network shows the impact of papers produced by Jonas Traub. 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 Jonas Traub. The network helps show where Jonas Traub may publish in the future.
Co-authors
The 15 scholars most cited alongside Jonas Traub, 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 23 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2019 | 66 | |
| 2 | 2016 | 42 | |
| 3 | 2020 | 25 | |
| 4 | 2018 | 25 | |
| 5 | 2017 | 16 | |
| 6 | 2019 | 16 | |
| 7 | 2020 | 15 | |
| 8 | 2021 | 15 | |
| 9 | 2023 | 13 | |
| 10 | 2016 | 12 | |
| 11 | 2017 | 12 | |
| 12 | 2021 | 10 | |
| 13 | 2018 | 10 | |
| 14 | 2019 | 10 | |
| 15 | 2021 | 9 | |
| 16 | 2019 | 8 | |
| 17 | 2022 | 7 | |
| 18 | 2018 | 4 | |
| 19 | 2023 | 3 | |
| 20 | The NebulaStream Platform: Data and Application Management for the Internet of Things | 2020 | 3 |
About Jonas Traub
Jonas Traub is a scholar working on Computer Networks and Communications, Artificial Intelligence, Signal Processing, Information Systems and Management Science and Operations Research, having authored 23 papers that have together received 325 indexed citations. Recurring topics across this work include Advanced Database Systems and Queries (16 papers), Data Stream Mining Techniques (11 papers), Data Management and Algorithms (8 papers), Cloud Computing and Resource Management (6 papers), Advanced Data Storage Technologies (3 papers), Data Quality and Management (3 papers), IoT and Edge/Fog Computing (2 papers) and Energy Efficient Wireless Sensor Networks (2 papers). The work is most often cited by research in Computer Networks and Communications (259 citations), Signal Processing (118 citations), Artificial Intelligence (157 citations), Information Systems (104 citations) and Hardware and Architecture (17 citations). Jonas Traub has collaborated with scholars based in Germany, Netherlands and Egypt. Frequent co-authors include Volker Markl, Tilmann Rabl, Sebastian Breß, Asterios Katsifodimos, Philipp M. Grulich, Steffen Zeuch, Seif Haridi, Paris Carbone, M. Renz and Jorge-Arnulfo Quiané-Ruiz. Their work appears in journals such as Proceedings of the VLDB Endowment, The VLDB Journal, ACM Transactions on Database Systems, ACM SIGMOD Record and it - Information Technology.
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.