Alex Zyner

660 total citations
10 papers, 464 citations indexed

About

Alex Zyner is a scholar working on Automotive Engineering, Computer Vision and Pattern Recognition and Building and Construction. According to data from OpenAlex, Alex Zyner has authored 10 papers receiving a total of 464 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Automotive Engineering, 4 papers in Computer Vision and Pattern Recognition and 4 papers in Building and Construction. Recurrent topics in Alex Zyner's work include Autonomous Vehicle Technology and Safety (6 papers), Traffic Prediction and Management Techniques (4 papers) and Advanced Neural Network Applications (3 papers). Alex Zyner is often cited by papers focused on Autonomous Vehicle Technology and Safety (6 papers), Traffic Prediction and Management Techniques (4 papers) and Advanced Neural Network Applications (3 papers). Alex Zyner collaborates with scholars based in Australia, Spain and Belgium. Alex Zyner's co-authors include Stewart Worrall, E. Nebot, James Ward, Luis M. Bergasa, Roberto Arroyo, Johan Philips, James Ward and Asher Bender and has published in prestigious journals such as IEEE Transactions on Intelligent Transportation Systems, IEEE Robotics and Automation Letters and IEEE Intelligent Transportation Systems Magazine.

In The Last Decade

Alex Zyner

9 papers receiving 458 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Alex Zyner Australia	7	354	159	142	135	129	10	464
Andreas Tamke Germany	7	355 1.0×	87 0.5×	120 0.8×	124 0.9×	128 1.0×	13	433
Jiatong Du China	3	260 0.7×	132 0.8×	101 0.7×	84 0.6×	78 0.6×	11	369
Andreas Lawitzky Germany	7	301 0.9×	76 0.5×	102 0.7×	153 1.1×	93 0.7×	8	344
François Aioun France	13	346 1.0×	75 0.5×	173 1.2×	214 1.6×	89 0.7×	35	471
Kaouther Messaoud France	4	324 0.9×	167 1.1×	116 0.8×	84 0.6×	123 1.0×	7	384
Alex Kuefler Germany	5	294 0.8×	94 0.6×	123 0.9×	192 1.4×	86 0.7×	5	432
Mohammad Bahram Germany	7	420 1.2×	75 0.5×	116 0.8×	208 1.5×	126 1.0×	11	500
Mathias Perrollaz France	8	502 1.4×	176 1.1×	222 1.6×	184 1.4×	171 1.3×	13	651
Martin Liebner Germany	8	238 0.7×	95 0.6×	88 0.6×	105 0.8×	73 0.6×	9	383
Manolis Tsogas Greece	12	360 1.0×	105 0.7×	117 0.8×	138 1.0×	88 0.7×	19	508

Countries citing papers authored by Alex Zyner

Since Specialization

Citations

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

Fields of papers citing papers by Alex Zyner

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Alex Zyner

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

All Works

Sort: Min cites: Since: Top N: Style:

10 of 10 papers shown

1.

Zyner, Alex, Stewart Worrall, & E. Nebot. (2019). Naturalistic Driver Intention and Path Prediction Using Recurrent Neural Networks. IEEE Transactions on Intelligent Transportation Systems. 21(4). 1584–1594. 159 indexed citations

2.

Zyner, Alex, et al.. (2019). Adapting Semantic Segmentation Models for Changes in Illumination and Camera Perspective. IEEE Robotics and Automation Letters. 4(2). 461–468. 17 indexed citations

3.

Zyner, Alex, Stewart Worrall, & E. Nebot. (2019). ACFR Five Roundabouts Dataset: Naturalistic Driving at Unsignalized Intersections. IEEE Intelligent Transportation Systems Magazine. 11(4). 8–18. 27 indexed citations

4.

Zyner, Alex, Stewart Worrall, & E. Nebot. (2018). A Recurrent Neural Network Solution for Predicting Driver Intention at Unsignalized Intersections. IEEE Robotics and Automation Letters. 3(3). 1759–1764. 129 indexed citations

5.

Worrall, Stewart, et al.. (2018). Automated Process for Incorporating Drivable Path into Real-Time Semantic Segmentation. 1–6. 13 indexed citations

6.

Zyner, Alex. (2018). Naturalistic Driver Intention and Path Prediction using Machine Learning. The Sydney eScholarship Repository (The University of Sydney). 3 indexed citations

7.

Zyner, Alex, Stewart Worrall, James Ward, & E. Nebot. (2017). Long short term memory for driver intent prediction. 1484–1489. 105 indexed citations

8.

Arroyo, Roberto, Alex Zyner, James Ward, et al.. (2017). Transferring visual knowledge for a robust road environment perception in intelligent vehicles. 1–6. 8 indexed citations

9.

Worrall, Stewart, Alex Zyner, Johan Philips, et al.. (2016). Multi-Sensor Detection of Pedestrian Position and Behaviour. Lirias (KU Leuven). 3 indexed citations

10.

Philips, Johan, Alex Zyner, James Ward, et al.. (2016). Software-in-the-loop simulation as testing and visualisation framework for ITS algorithms. Lirias (KU Leuven).

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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