Jörg Hähner

2.2k total citations
141 papers, 1.1k citations indexed

About

Jörg Hähner is a scholar working on Artificial Intelligence, Computer Networks and Communications and Computer Vision and Pattern Recognition. According to data from OpenAlex, Jörg Hähner has authored 141 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 64 papers in Artificial Intelligence, 52 papers in Computer Networks and Communications and 18 papers in Computer Vision and Pattern Recognition. Recurrent topics in Jörg Hähner's work include Evolutionary Algorithms and Applications (37 papers), Metaheuristic Optimization Algorithms Research (24 papers) and Distributed systems and fault tolerance (14 papers). Jörg Hähner is often cited by papers focused on Evolutionary Algorithms and Applications (37 papers), Metaheuristic Optimization Algorithms Research (24 papers) and Distributed systems and fault tolerance (14 papers). Jörg Hähner collaborates with scholars based in Germany, United States and United Kingdom. Jörg Hähner's co-authors include Sven Tomforde, Kurt Rothermel, Christian Becker, Christian Müller-Schloer, Anthony Stein, Illya Stepanov, Bernhard Sick, Pedro José Marrón, Arno Wacker and Daniel Minder and has published in prestigious journals such as Applied Energy, Applied Soft Computing and Computers & Industrial Engineering.

In The Last Decade

Jörg Hähner

126 papers receiving 967 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Jörg Hähner Germany 17 581 431 210 165 127 141 1.1k
Theo Ungerer Germany 18 784 1.3× 210 0.5× 213 1.0× 168 1.0× 139 1.1× 161 1.4k
Christian Müller-Schloer Germany 16 387 0.7× 423 1.0× 93 0.4× 192 1.2× 50 0.4× 84 900
Ranjith Kumar A India 4 203 0.3× 359 0.8× 151 0.7× 90 0.5× 83 0.7× 8 812
Arquimedes Canedo United States 14 175 0.3× 354 0.8× 101 0.5× 125 0.8× 79 0.6× 52 1.0k
Limin Sun China 17 708 1.2× 553 1.3× 335 1.6× 352 2.1× 105 0.8× 77 1.3k
Sujit Rokka Chhetri United States 15 166 0.3× 330 0.8× 95 0.5× 140 0.8× 76 0.6× 22 838
Chaogang Tang China 21 832 1.4× 236 0.5× 344 1.6× 353 2.1× 150 1.2× 68 1.2k
Frans A. Oliehoek Netherlands 16 286 0.5× 755 1.8× 105 0.5× 43 0.3× 137 1.1× 69 1.2k
Yang Ji China 15 248 0.4× 331 0.8× 143 0.7× 124 0.8× 97 0.8× 108 914

Countries citing papers authored by Jörg Hähner

Since Specialization
Citations

This map shows the geographic impact of Jörg Hähner'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 Jörg Hähner with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jörg Hähner more than expected).

Fields of papers citing papers by Jörg Hähner

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Jörg Hähner. 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 Jörg Hähner. The network helps show where Jörg Hähner may publish in the future.

Co-authorship network of co-authors of Jörg Hähner

This figure shows the co-authorship network connecting the top 25 collaborators of Jörg Hähner. A scholar is included among the top collaborators of Jörg Hähner 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 Jörg Hähner. Jörg Hähner is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Hähner, Jörg, et al.. (2025). A Literature Review Framework and Open Research Challenges for Predictive Maintenance in industry 4.0. Computers & Industrial Engineering. 206. 111193–111193. 1 indexed citations
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Hähner, Jörg, et al.. (2024). GRAHF: A Hyper-Heuristic Framework for Evolving Heterogeneous Island Model Topologies. Proceedings of the Genetic and Evolutionary Computation Conference. 1054–1063.
5.
Hähner, Jörg, et al.. (2024). A Closer Look at Length-niching Selection and Spatial Crossover in Variable-length Evolutionary Rule Set Learning. Proceedings of the Genetic and Evolutionary Computation Conference Companion. 1779–1787. 1 indexed citations
6.
Hähner, Jörg, et al.. (2023). SupRB in the context of rule-based machine learning methods: A comparative study. Applied Soft Computing. 147. 110706–110706. 2 indexed citations
7.
Hähner, Jörg, et al.. (2023). Discovering Rules for Rule-Based Machine Learning with the Help of Novelty Search. SN Computer Science. 4(6). 2 indexed citations
8.
Hähner, Jörg, et al.. (2023). Towards Principled Synthetic Benchmarks for Explainable Rule Set Learning Algorithms. OPUS (Augsburg University). 1657–1662. 3 indexed citations
9.
Hähner, Jörg, et al.. (2023). Weighted Mutation of Connections To Mitigate Search Space Limitations in Cartesian Genetic Programming. OPUS (Augsburg University). 50–60. 2 indexed citations
10.
Hähner, Jörg, et al.. (2023). Model-Driven Optimisation of Monitoring System Configurations for Batch Production. OPUS (Augsburg University). 176–183. 1 indexed citations
11.
Hähner, Jörg, et al.. (2023). Fast, Flexible, and Fearless: A Rust Framework for the Modular Construction of Metaheuristics. OPUS (Augsburg University). 1900–1909. 1 indexed citations
12.
Stein, Anthony, et al.. (2021). Synthetic Experiences for Accelerating DQN Performance in Discrete Non-Deterministic Environments. Algorithms. 14(8). 226–226. 2 indexed citations
13.
Stein, Anthony, et al.. (2020). Bootstrapping a DQN replay memory with synthetic experiences. OPUS (Augsburg University). 6 indexed citations
14.
Hähner, Jörg, et al.. (2020). An architectural design for measurement uncertainty evaluation in cyber-physical systems. OPUS (Augsburg University). 4 indexed citations
15.
Tomforde, Sven, et al.. (2019). Resilient Traffic Management with Organic Computing Techniques. OPUS (Augsburg University). 1 indexed citations
16.
Hähner, Jörg, et al.. (2018). Using Feed-Forward Neural Networks for Data Association on Multi-Object Tracking Tasks. OPUS (Augsburg University).
17.
Tomforde, Sven, Jörg Hähner, Hella Seebach, et al.. (2014). Engineering and Mastering Interwoven Systems. OPUS (Augsburg University). 1–8. 25 indexed citations
18.
Hähner, Jörg, et al.. (2008). Investigation of generic observer/controller architectures in a traffic scenario. OPUS (Augsburg University). 733–738. 1 indexed citations
19.
Hähner, Jörg, Christian Becker, & Pedro José Marrón. (2004). Consistent context management in mobile ad hoc networks. Fachbereich Informatik (University of Stuttgart). 308–313. 1 indexed citations
20.
Becker, Christian, Martin Bauer, & Jörg Hähner. (2002). Usenet-on-the-fly - Supporting Locality of Information in Spontaneous Networking Environments. OPUS (Augsburg University). 10 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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