Julian Bock

1.9k total citations · 1 hit paper
17 papers, 1.2k citations indexed

About

Julian Bock is a scholar working on Automotive Engineering, Safety, Risk, Reliability and Quality and Computer Vision and Pattern Recognition. According to data from OpenAlex, Julian Bock has authored 17 papers receiving a total of 1.2k indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Automotive Engineering, 7 papers in Safety, Risk, Reliability and Quality and 5 papers in Computer Vision and Pattern Recognition. Recurrent topics in Julian Bock's work include Autonomous Vehicle Technology and Safety (13 papers), Traffic and Road Safety (4 papers) and Safety Systems Engineering in Autonomy (3 papers). Julian Bock is often cited by papers focused on Autonomous Vehicle Technology and Safety (13 papers), Traffic and Road Safety (4 papers) and Safety Systems Engineering in Autonomy (3 papers). Julian Bock collaborates with scholars based in Germany, Switzerland and United Kingdom. Julian Bock's co-authors include Lutz Eckstein, Robert Krajewski, Laurent Kloeker, Tobias Moers, Adrian Zlocki, Jens Klimke, Andrew Monk, Charles Hulme, Satoshi Taniguchi and Jacobo Antona‐Makoshi and has published in prestigious journals such as IEEE Access, Memory & Cognition and Traffic Injury Prevention.

In The Last Decade

Julian Bock

16 papers receiving 1.2k citations

Hit Papers

The highD Dataset: A Drone Dataset of Naturalistic Vehicl... 2018 2026 2020 2023 2018 250 500 750
What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

  1. The highD Dataset: A Drone Dataset of Naturalistic Vehicle Trajectories on German Highways for Validation of Highly Automated Driving Systems
    2018 861 citations Robert Krajewski, Julian Bock et al. profile →

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Julian Bock Germany 10 958 482 392 282 244 17 1.2k
Robert Krajewski Germany 8 947 1.0× 487 1.0× 367 0.9× 276 1.0× 244 1.0× 16 1.2k
Laurent Kloeker Germany 4 699 0.7× 370 0.8× 280 0.7× 207 0.7× 182 0.7× 6 881
Stéphanie Lefèvre France 11 1.5k 1.6× 744 1.5× 454 1.2× 440 1.6× 452 1.9× 14 1.8k
Dizan Vasquez France 10 857 0.9× 371 0.8× 290 0.7× 243 0.9× 571 2.3× 18 1.3k
Erik Coelingh Sweden 16 1.0k 1.0× 698 1.4× 284 0.7× 150 0.5× 254 1.0× 30 1.4k
Tim A. Wheeler United States 9 565 0.6× 331 0.7× 190 0.5× 206 0.7× 186 0.8× 12 841
Tobias Gindele Germany 15 713 0.7× 338 0.7× 148 0.4× 150 0.5× 337 1.4× 16 977
Gabi Breuel Germany 13 655 0.7× 238 0.5× 212 0.5× 202 0.7× 205 0.8× 24 785
Mattias Brännström Sweden 12 770 0.8× 486 1.0× 199 0.5× 104 0.4× 201 0.8× 22 897
Meixin Zhu China 17 1.0k 1.1× 982 2.0× 417 1.1× 444 1.6× 120 0.5× 64 1.7k

Countries citing papers authored by Julian Bock

Since Specialization
Citations

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

Fields of papers citing papers by Julian Bock

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Julian Bock

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

All Works

17 of 17 papers shown
1.
2.
Moers, Tobias, et al.. (2022). The exiD Dataset: A Real-World Trajectory Dataset of Highly Interactive Highway Scenarios in Germany. 2022 IEEE Intelligent Vehicles Symposium (IV). 958–964. 71 indexed citations
3.
Krajewski, Robert, et al.. (2021). Drone-based Generation of Sensor Reference and Training Data for Highly Automated Vehicles. 3067–3074. 1 indexed citations
4.
Bock, Julian, et al.. (2021). Hochgenaue Szenarien- und Referenzdaten für das automatisierte Fahren. ATZ - Automobiltechnische Zeitschrift. 123(5-6). 50–55.
5.
Bock, Julian, et al.. (2021). Highly Accurate Scenario and Reference Data for Automated Driving. ATZ worldwide. 123(5-6). 50–55. 7 indexed citations
6.
Krajewski, Robert, et al.. (2020). The rounD Dataset: A Drone Dataset of Road User Trajectories at Roundabouts in Germany. 1–6. 133 indexed citations
7.
Krajewski, Robert, et al.. (2020). Using drones as reference sensors for neural-networks-based modeling of automotive perception errors. 708–715. 6 indexed citations
8.
Meyer, Stefan, et al.. (2019). Drastische Biomasseverluste bei Zikaden verschiedener Grasländer in Deutschland innerhalb von sechs Jahrzehnten. 0028-0615. 93(4). 141–145. 2 indexed citations
9.
Bock, Julian, et al.. (2019). A framework for definition of logical scenarios for safety assurance of automated driving. Traffic Injury Prevention. 20(sup1). S65–S70. 42 indexed citations
10.
Bock, Julian, et al.. (2018). Definition von Szenarien zur Absicherung automatisierter Fahrfunktionen. ATZ - Automobiltechnische Zeitschrift. 121(1). 42–45. 2 indexed citations
11.
Krajewski, Robert, Julian Bock, Laurent Kloeker, & Lutz Eckstein. (2018). The highD Dataset: A Drone Dataset of Naturalistic Vehicle Trajectories on German Highways for Validation of Highly Automated Driving Systems. 2118–2125. 861 indexed citations breakdown →
12.
Bock, Julian, et al.. (2018). Definition of Scenarios for Safety Validation of Automated Driving Functions. ATZ worldwide. 121(1). 42–45. 16 indexed citations
13.
Bock, Julian, et al.. (2017). Database approach for the sign-off process of highly automated vehicles. RWTH Publications (RWTH Aachen). 24 indexed citations
14.
Bock, Julian, et al.. (2017). Self-learning Trajectory Prediction with Recurrent Neural Networks at Intelligent Intersections. 346–351. 18 indexed citations
15.
16.
Bock, Julian, et al.. (2014). Optimisation of energy efficiency based on average driving behaviour and driver's preferences for automated driving. IET Intelligent Transport Systems. 9(1). 50–58. 23 indexed citations
17.
Bock, Julian, Andrew Monk, & Charles Hulme. (1993). Perceptual grouping in visual word recognition. Memory & Cognition. 21(1). 81–88. 9 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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