Eric Sax

1.9k total citations
179 papers, 1.0k citations indexed

About

Eric Sax is a scholar working on Artificial Intelligence, Automotive Engineering and Control and Systems Engineering. According to data from OpenAlex, Eric Sax has authored 179 papers receiving a total of 1.0k indexed citations (citations by other indexed papers that have themselves been cited), including 53 papers in Artificial Intelligence, 52 papers in Automotive Engineering and 43 papers in Control and Systems Engineering. Recurrent topics in Eric Sax's work include Autonomous Vehicle Technology and Safety (41 papers), Real-time simulation and control systems (28 papers) and Advanced Software Engineering Methodologies (27 papers). Eric Sax is often cited by papers focused on Autonomous Vehicle Technology and Safety (41 papers), Real-time simulation and control systems (28 papers) and Advanced Software Engineering Methodologies (27 papers). Eric Sax collaborates with scholars based in Germany, United States and Sweden. Eric Sax's co-authors include Stefan Otten, Reiner Kriesten, Klaus D. Müller-Glaser, Stefan Kugele, Daniel Baumann, Jürgen Becker, Christian Müller, Andreas Lauber, Erik Bürger and M. Weber and has published in prestigious journals such as SHILAP Revista de lepidopterología, Expert Systems with Applications and IEEE Access.

In The Last Decade

Eric Sax

156 papers receiving 975 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Eric Sax Germany 15 345 251 251 183 163 179 1.0k
Arquimedes Canedo United States 14 130 0.4× 157 0.6× 354 1.4× 101 0.6× 175 1.1× 52 1.0k
Wuling Huang China 9 385 1.1× 262 1.0× 108 0.4× 130 0.7× 87 0.5× 22 766
Leandro Buss Becker Brazil 12 196 0.6× 279 1.1× 90 0.4× 110 0.6× 200 1.2× 88 741
Sebastian Steinhorst Germany 21 487 1.4× 169 0.7× 179 0.7× 810 4.4× 361 2.2× 147 1.4k
Christian Steger Austria 15 89 0.3× 104 0.4× 212 0.8× 561 3.1× 335 2.1× 262 1.2k
Roberto Nardone Italy 16 87 0.3× 177 0.7× 158 0.6× 129 0.7× 221 1.4× 55 858
Valeria Vittorini Italy 18 88 0.3× 146 0.6× 169 0.7× 81 0.4× 227 1.4× 60 1.1k
Martin Lukasiewycz Germany 27 451 1.3× 202 0.8× 244 1.0× 840 4.6× 545 3.3× 90 1.9k
Takuya Azumi Japan 16 261 0.8× 246 1.0× 174 0.7× 152 0.8× 432 2.7× 94 1.2k
Tichakorn Wongpiromsarn United States 18 176 0.5× 456 1.8× 374 1.5× 118 0.6× 192 1.2× 44 1.4k

Countries citing papers authored by Eric Sax

Since Specialization
Citations

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

Fields of papers citing papers by Eric Sax

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Eric Sax

This figure shows the co-authorship network connecting the top 25 collaborators of Eric Sax. A scholar is included among the top collaborators of Eric Sax 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 Eric Sax. Eric Sax 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.
Baumann, Daniel, et al.. (2025). Cloud-Enabled Reconfiguration of Electrical/Electronic Architectures for Modular Electric Vehicles. World Electric Vehicle Journal. 16(2). 111–111.
2.
Török, Árpád, et al.. (2024). A numerical verification method for multi-class feed-forward neural networks. Expert Systems with Applications. 247. 123345–123345. 14 indexed citations
3.
Sax, Eric, et al.. (2024). Exploring Metamorphic Testing for Self-learning Functions with User Interactions. AHFE international. 1 indexed citations
5.
Baumann, Daniel, et al.. (2024). Connected Vehicle: Ontology, Taxonomy and Use Cases. 1–6. 1 indexed citations
6.
Sax, Eric, et al.. (2024). GOOSE: Goal-Conditioned Reinforcement Learning for Safety-Critical Scenario Generation. 2651–2658. 3 indexed citations
8.
Zöllner, J. Marius, et al.. (2023). Inverse Universal Traffic Quality - a Criticality Metric for Crowded Urban Traffic Scenes. 667. 1–7. 2 indexed citations
11.
Sax, Eric, et al.. (2022). Generic Patterns for Intrusion Detection Systems in Service-Oriented Automotive and Medical Architectures. SHILAP Revista de lepidopterología. 2(3). 731–749. 4 indexed citations
12.
Sax, Eric, et al.. (2022). Architecture platforms for future vehicles: a comparison of ROS2 and Adaptive AUTOSAR. 2022 IEEE 25th International Conference on Intelligent Transportation Systems (ITSC). 3095–3102. 10 indexed citations
14.
Sax, Eric, et al.. (2021). Context-Aware Security for Vehicles and Fleets: A Survey. IEEE Access. 9. 101809–101846. 17 indexed citations
15.
Kriesten, Reiner, et al.. (2020). An Overview of Automotive Service-Oriented Architectures and Implications for Security Countermeasures. IEEE Access. 8. 221852–221870. 68 indexed citations
17.
18.
Braun, Lisa, Frank Gauterin, & Eric Sax. (2016). Experteninterview zur Anforderungsanalyse heutiger und zukünftiger E/E Architekturen im Kraftfahrzeug. Abschlussbericht, 27. April 2016. Repository KITopen (Karlsruhe Institute of Technology). 2 indexed citations
19.
Sax, Eric, et al.. (2000). Design and Simulation of Heterogeneous Embedded Systems. 385–390. 1 indexed citations
20.
Sax, Eric, et al.. (1995). Integrated design process support with VHDL-A. 7(2). 493–498. 3 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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