Jonas Traub

556 citations
23 papers · 272 · h-index 10

Impact in

    • Advanced Database Systems and Queries
    • Advanced Data Storage Technologies
    • IoT and Edge/Fog Computing
    • Distributed systems and fault tolerance
    • Caching and Content Delivery
    • Data Management and Algorithms

Papers in

Jonas Traub

21 papers receiving 264 citations

Peers

Jonas Traub
Comparison fields: 5 of 38
  • Computer Networks and Communications 215
  • Signal Processing 92
  • Information Systems 96
  • Artificial Intelligence 127
  • Hardware and Architecture 17
Replace Philipp M. Grulich with:
Philipp M. Grulich Germany
James F. Terwilliger United States
Uri Shaft United States
Mert Akdere United States
Alexandros Koliousis United Kingdom
Juncheng Yang United States
Do Le Quoc Germany
Berni Schiefer United States
Thierry Cruanes United States
Burak Yavuz United States
Jonas Traub relative to Philipp M. Grulich Germany Philipp M. Grulich's profile →
Citations per field
00.5×
Philipp M. Grulich · 1×
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 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.

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

Showing the 20 most-cited of 23 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201957
2 201630
3 202024
4 201819
5 201716
6 202115
7 202013
8 201913
9 201712
10 202311
11 20199
12 20218
13 20168
14 20197
15 20217
16 20186
17 20225
18 20184
19
The NebulaStream Platform: Data and Application Management for the Internet of Things
20203
20
Agora: Towards An Open Ecosystem for Democratizing Data Science & Artificial Intelligence.
20193

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 272 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), Energy Efficient Wireless Sensor Networks (2 papers) and Big Data and Business Intelligence (2 papers). The work is most often cited by research in Computer Networks and Communications (215 citations), Signal Processing (92 citations), Information Systems (96 citations), Artificial Intelligence (127 citations) and Hardware and Architecture (17 citations). Jonas Traub has collaborated with scholars based in Germany, Netherlands and Saudi Arabia. Frequent co-authors include Volker Markl, Tilmann Rabl, Sebastian Breß, Philipp M. Grulich, Asterios Katsifodimos, Steffen Zeuch, Jorge-Arnulfo Quiané-Ruiz, Seif Haridi, Paris Carbone and M. Renz. Their work appears in journals such as Proceedings of the VLDB Endowment, The VLDB Journal, ACM SIGMOD Record, ACM Transactions on Database Systems 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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