Jonas Traub

556 total citations
23 papers, 272 citations indexed

About

Jonas Traub is a scholar working on Computer Networks and Communications, Artificial Intelligence and Signal Processing. According to data from OpenAlex, Jonas Traub has authored 23 papers receiving a total of 272 indexed citations (citations by other indexed papers that have themselves been cited), including 19 papers in Computer Networks and Communications, 13 papers in Artificial Intelligence and 9 papers in Signal Processing. Recurrent topics in Jonas Traub's work include Advanced Database Systems and Queries (16 papers), Data Stream Mining Techniques (11 papers) and Data Management and Algorithms (8 papers). Jonas Traub is often cited by papers focused on Advanced Database Systems and Queries (16 papers), Data Stream Mining Techniques (11 papers) and Data Management and Algorithms (8 papers). Jonas Traub collaborates with scholars based in Germany, Netherlands and Sweden. Jonas Traub's co-authors include Volker Markl, Tilmann Rabl, Sebastian Breß, Asterios Katsifodimos, Philipp M. Grulich, Steffen Zeuch, Jorge-Arnulfo Quiané-Ruiz, Paris Carbone, M. Renz and Seif Haridi and has published in prestigious journals such as Proceedings of the VLDB Endowment, ACM SIGMOD Record and ACM Transactions on Database Systems.

In The Last Decade

Jonas Traub

21 papers receiving 264 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name	h						Papers	Cites
Jonas Traub Germany	10	215	127	96	92	36	23	272
Philipp M. Grulich Germany	10	165 0.8×	93 0.7×	68 0.7×	59 0.6×	53 1.5×	24	228
Mert Akdere United States	6	258 1.2×	93 0.7×	95 1.0×	134 1.5×	27 0.8×	6	299
Juncheng Yang United States	10	203 0.9×	111 0.9×	117 1.2×	70 0.8×	29 0.8×	27	325
Berni Schiefer United States	7	305 1.4×	71 0.6×	127 1.3×	100 1.1×	33 0.9×	10	331
Burak Yavuz United States	4	107 0.5×	82 0.6×	86 0.9×	39 0.4×	36 1.0×	4	186
Edward Gan United States	8	93 0.4×	184 1.4×	44 0.5×	100 1.1×	41 1.1×	14	260
Alexandros Koliousis United Kingdom	9	222 1.0×	105 0.8×	81 0.8×	44 0.5×	54 1.5×	23	289
Thijs van Ede Netherlands	5	212 1.0×	211 1.7×	58 0.6×	107 1.2×	28 0.8×	10	262
Naser Ezzati‐Jivan Canada	10	274 1.3×	119 0.9×	125 1.3×	144 1.6×	20 0.6×	51	322
Riccardo Bortolameotti Netherlands	3	197 0.9×	198 1.6×	55 0.6×	94 1.0×	25 0.7×	4	241

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-authorship network of co-authors of Jonas Traub

This figure shows the co-authorship network connecting the top 25 collaborators of Jonas Traub. A scholar is included among the top collaborators of Jonas Traub based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Jonas Traub. Jonas Traub is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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20 of 20 papers shown

Grulich, Philipp M., et al.. (2023). Correction to: Survey of window types for aggregation in stream processing systems. The VLDB Journal. 33(1). 251–251. 1 indexed citations

Grulich, Philipp M., et al.. (2023). Survey of window types for aggregation in stream processing systems. The VLDB Journal. 32(5). 985–1011. 11 indexed citations

Grulich, Philipp M., et al.. (2022). Algorithms for Windowed Aggregations and Joins on Distributed Stream Processing Systems. Datenbank-Spektrum. 22(2). 99–107. 5 indexed citations

Quiané-Ruiz, Jorge-Arnulfo, et al.. (2021). What is the price for joining securely?. Proceedings of the VLDB Endowment. 15(3). 659–672. 8 indexed citations

Traub, Jonas, et al.. (2021). Automatic Tuning of Read-Time Tolerances for Optimized On-Demand Data-Streaming from Sensor Nodes. Publikationsdatenbank der Fraunhofer-Gesellschaft (Fraunhofer-Gesellschaft). 517–522.

Traub, Jonas, Philipp M. Grulich, Sebastian Breß, et al.. (2021). Scotty. ACM Transactions on Database Systems. 46(1). 1–46. 7 indexed citations

Zeuch, Steffen, Ankit Chaudhary, Philipp M. Grulich, et al.. (2020). The NebulaStream Platform: Data and Application Management for the Internet of Things. HAL (Le Centre pour la Communication Scientifique Directe). 3 indexed citations

Traub, Jonas, et al.. (2020). Demand-based sensor data gathering with multi-query optimization. Proceedings of the VLDB Endowment. 13(12). 2801–2804. 13 indexed citations

Grulich, Philipp M., Sebastian Breß, Steffen Zeuch, et al.. (2020). Grizzly: Efficient Stream Processing Through Adaptive Query Compilation. 2487–2503. 24 indexed citations

10.

Zeuch, Steffen, M. Renz, Jonas Traub, et al.. (2019). Analyzing efficient stream processing on modern hardware. Proceedings of the VLDB Endowment. 12(5). 516–530. 57 indexed citations

11.

Traub, Jonas, Jorge-Arnulfo Quiané-Ruiz, Zoi Kaoudi, & Volker Markl. (2019). Agora: Towards An Open Ecosystem for Democratizing Data Science & Artificial Intelligence.. 3 indexed citations

12.

Grulich, Philipp M., Jonas Traub, Sebastian Breß, et al.. (2019). Generating Reproducible Out-of-Order Data Streams. Research Repository (Delft University of Technology). 256–257. 9 indexed citations

13.

Awad, Ahmed, Jonas Traub, & Sherif Sakr. (2019). Adaptive Watermarks: A Concept Drift-based Approach for Predicting Event-Time Progress in Data Streams. Movebank. 7 indexed citations

14.

Traub, Jonas, Philipp M. Grulich, Sebastian Breß, et al.. (2018). Scotty: Efficient Window Aggregation for Out-of-Order Stream Processing. Research Repository (Delft University of Technology). 1300–1303. 19 indexed citations

15.

Traub, Jonas, et al.. (2018). Efficient SIMD Vectorization for Hashing in OpenCL. Movebank. 489–492. 4 indexed citations

16.

Grulich, Philipp M., et al.. (2018). Scalable Detection of Concept Drifts on Data Streams with Parallel Adaptive Windowing. Movebank. 477–480. 6 indexed citations

17.

Traub, Jonas, et al.. (2017). I²: Interactive Real-Time Visualization for Streaming Data. Movebank. 526–529. 12 indexed citations

18.

Rabl, Tilmann, Jonas Traub, Asterios Katsifodimos, & Volker Markl. (2016). Apache Flink in current research. it - Information Technology. 58(4). 157–165. 8 indexed citations

19.

Carbone, Paris, Jonas Traub, Asterios Katsifodimos, Seif Haridi, & Volker Markl. (2016). Cutty. 1201–1210. 30 indexed citations

20.

Traub, Jonas, et al.. (2015). Die Apache Flink Plattform zur parallelen Analyse von Datenstromen und Stapeldaten. LWA. 403–408. 1 indexed citations

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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