Julian Eggert

1.5k total citations
74 papers, 865 citations indexed

About

Julian Eggert is a scholar working on Computer Vision and Pattern Recognition, Automotive Engineering and Artificial Intelligence. According to data from OpenAlex, Julian Eggert has authored 74 papers receiving a total of 865 indexed citations (citations by other indexed papers that have themselves been cited), including 29 papers in Computer Vision and Pattern Recognition, 27 papers in Automotive Engineering and 26 papers in Artificial Intelligence. Recurrent topics in Julian Eggert's work include Autonomous Vehicle Technology and Safety (27 papers), Advanced Vision and Imaging (15 papers) and Traffic control and management (10 papers). Julian Eggert is often cited by papers focused on Autonomous Vehicle Technology and Safety (27 papers), Advanced Vision and Imaging (15 papers) and Traffic control and management (10 papers). Julian Eggert collaborates with scholars based in Germany, Japan and Netherlands. Julian Eggert's co-authors include Edgar Körner, Volker Willert, Jürgen Adamy, Jörg Lücke, Heiko Wersing, Christian Goerick, Horst–Michael Groß, Marc Toussaint, Mark Dunn and Frank Joublin and has published in prestigious journals such as Neural Computation, Neurocomputing and Journal of Machine Learning Research.

In The Last Decade

Julian Eggert

67 papers receiving 821 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Julian Eggert Germany 16 327 312 229 169 139 74 865
Bernd Heisele United States 15 1.2k 3.7× 136 0.4× 263 1.1× 238 1.4× 52 0.4× 29 1.5k
Hongyang Li China 14 516 1.6× 384 1.2× 46 0.2× 252 1.5× 95 0.7× 39 1.0k
Franz Kümmert Germany 18 466 1.4× 466 1.5× 108 0.5× 425 2.5× 139 1.0× 115 1.2k
Xinyu Huang United States 13 641 2.0× 283 0.9× 61 0.3× 131 0.8× 76 0.5× 36 991
Jun Ogata Japan 16 324 1.0× 42 0.1× 434 1.9× 419 2.5× 65 0.5× 62 950
Gil‐Jin Jang South Korea 16 222 0.7× 76 0.2× 256 1.1× 223 1.3× 45 0.3× 71 774
Claus Bahlmann United States 13 724 2.2× 66 0.2× 139 0.6× 360 2.1× 37 0.3× 23 1.2k
Yanyu Xu China 11 602 1.8× 130 0.4× 70 0.3× 101 0.6× 19 0.1× 21 775
Mohsen Soryani Iran 17 363 1.1× 81 0.3× 43 0.2× 232 1.4× 31 0.2× 68 945
Fabien Moutarde France 17 503 1.5× 367 1.2× 47 0.2× 137 0.8× 207 1.5× 51 1.0k

Countries citing papers authored by Julian Eggert

Since Specialization
Citations

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

Fields of papers citing papers by Julian Eggert

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Julian Eggert

This figure shows the co-authorship network connecting the top 25 collaborators of Julian Eggert. A scholar is included among the top collaborators of Julian Eggert 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 Julian Eggert. Julian Eggert 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.
Eggert, Julian, et al.. (2024). StaR Maps: Unveiling Uncertainty in Geospatial Relations. 497–504.
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Willert, Volker, et al.. (2021). Online and Predictive Warning System for Forced Lane Changes Using Risk Maps. IEEE Transactions on Intelligent Vehicles. 7(3). 616–626. 11 indexed citations
5.
Weisswange, Thomas H., et al.. (2021). Automated Driving in Complex Real-World Scenarios using a Scalable Risk-Based Behavior Generation Framework. 629–636. 3 indexed citations
6.
Müller, Fabian & Julian Eggert. (2020). Time-Course Sensitive Collision Probability Model for Risk Estimation. TUbilio (Technical University of Darmstadt). 1–8. 1 indexed citations
7.
Knoblauch, Andreas, et al.. (2016). Toward Self-Referential Autonomous Learning of Object and Situation Models. Cognitive Computation. 8(4). 703–719. 3 indexed citations
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Eggert, Julian, et al.. (2015). Risk-Aversive Behavior Planning under Multiple Situations with Uncertainty. 656–663. 25 indexed citations
10.
Turner, Richard E., et al.. (2014). Efficient occlusive components analysis. Journal of Machine Learning Research. 15(1). 2689–2722. 7 indexed citations
11.
Eggert, Julian. (2014). Predictive risk estimation for intelligent ADAS functions. 711–718. 59 indexed citations
12.
Willert, Volker, et al.. (2014). Combining behavior and situation information for reliably estimating multiple intentions. 388–393. 45 indexed citations
13.
Eggert, Julian, et al.. (2012). Unsupervised Learning of Motion Patterns. The European Symposium on Artificial Neural Networks. 3 indexed citations
14.
Wersing, Heiko, et al.. (2010). Figure-ground Segmentation using Metrics Adaptation in Level Set Methods. The European Symposium on Artificial Neural Networks. 37(11). 422–2582. 1 indexed citations
15.
Lücke, Jörg & Julian Eggert. (2010). Expectation Truncation and the Benefits of Preselection In Training Generative Models. Journal of Machine Learning Research. 11(96). 2855–2900. 28 indexed citations
16.
Eggert, Julian, et al.. (2010). Dynamic, Task-Related and Demand-Driven Scene Representation. Cognitive Computation. 3(1). 124–145. 3 indexed citations
17.
Eggert, Julian, et al.. (2010). A probabilistic method for hierarchical 2D-3D tracking. 38. 1–8. 2 indexed citations
18.
Willert, Volker, et al.. (2008). Estimating Object Proper Motion Using Optical Flow, Kinematics, and Depth Information. IEEE Transactions on Systems Man and Cybernetics Part B (Cybernetics). 38(4). 1139–1151. 18 indexed citations
19.
Willert, Volker, et al.. (2006). A Probabilistic Model for Binaural Sound Localization. IEEE Transactions on Systems Man and Cybernetics Part B (Cybernetics). 36(5). 982–994. 68 indexed citations
20.
Willert, Volker, Julian Eggert, Jürgen Adamy, & Edgar Körner. (2006). Non-Gaussian velocity distributions integrated over space, time, and scales. IEEE Transactions on Systems Man and Cybernetics Part B (Cybernetics). 36(3). 482–493. 15 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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