Jonas Traub

593 citations
20 papers · 338 · h-index 11

Impact in

    • Advanced Database Systems and Queries
    • IoT and Edge/Fog Computing
    • Energy Efficient Wireless Sensor Networks
    • Distributed systems and fault tolerance
    • Distributed and Parallel Computing Systems
    • Parallel Computing and Optimization Techniques

Papers in

Jonas Traub

18 papers receiving 328 citations

Peers

Jonas Traub
Comparison fields: 5 of 29
  • Computer Networks and Communications 268
  • Hardware and Architecture 31
  • Information Systems 31
  • Signal Processing 8
  • Information Systems and Management 8
Replace Jiguang Wan with:
Jiguang Wan China
Siying Dong United States
Xuntao Cheng China
Mark Callaghan United States
Matt Mathis United States
Cristian Diaconu United States
Yongseok Son South Korea
Philipp M. Grulich Germany
Siyang Lu China
Timothy Bisson United States
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Citations per year

Countries citing papers authored by Jonas Traub

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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 12 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.

Border = papers with Jonas Traub Line = papers co-authored together Jonas Traub links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 201972
2 201640
3 202030
4 202029
5 201825
6 201718
7 201917
8 202116
9 202316
10 202015
11 201612
12 202111
13 202111
14 201910
15 20227
16 20193
17
Agora: Towards An Open Ecosystem for Democratizing Data Science & Artificial Intelligence.
20193
18
The NebulaStream Platform: Data and Application Management for the Internet of Things
20202
19
Die Apache Flink Plattform zur parallelen Analyse von Datenstromen und Stapeldaten
20151
20 20210

About Jonas Traub

Jonas Traub is a scholar working on Computer Networks and Communications, Information Systems and Management, Information Systems, Strategy and Management and Artificial Intelligence, having authored 20 papers that have together received 338 indexed citations. Recurring topics across this work include Advanced Database Systems and Queries (16 papers), IoT and Edge/Fog Computing (5 papers), Energy Efficient Wireless Sensor Networks (5 papers), Cloud Computing and Resource Management (3 papers), Scientific Computing and Data Management (2 papers), IoT Networks and Protocols (1 paper), Security and Verification in Computing (1 paper) and Digital Platforms and Economics (1 paper). The work is most often cited by research in Computer Networks and Communications (268 citations), Hardware and Architecture (31 citations), Information Systems (31 citations), Signal Processing (8 citations) and Information Systems and Management (8 citations). Jonas Traub has collaborated with scholars based in Germany, Netherlands and Sweden. Frequent co-authors include Volker Markl, Tilmann Rabl, Sebastian Breß, Asterios Katsifodimos, Philipp M. Grulich, Steffen Zeuch, Jorge-Arnulfo Quiané-Ruiz, Seif Haridi, Paris Carbone and Zoi Kaoudi. Their work appears in journals such as Proceedings of the VLDB Endowment, ACM SIGMOD Record, ACM Transactions on Database Systems, The VLDB Journal 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.

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