Markus Murschitz

534 total citations
9 papers, 192 citations indexed

About

Markus Murschitz is a scholar working on Computer Vision and Pattern Recognition, Automotive Engineering and Media Technology. According to data from OpenAlex, Markus Murschitz has authored 9 papers receiving a total of 192 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Computer Vision and Pattern Recognition, 2 papers in Automotive Engineering and 2 papers in Media Technology. Recurrent topics in Markus Murschitz's work include Advanced Neural Network Applications (5 papers), Advanced Vision and Imaging (4 papers) and Advanced Image and Video Retrieval Techniques (2 papers). Markus Murschitz is often cited by papers focused on Advanced Neural Network Applications (5 papers), Advanced Vision and Imaging (4 papers) and Advanced Image and Video Retrieval Techniques (2 papers). Markus Murschitz collaborates with scholars based in Austria and Germany. Markus Murschitz's co-authors include Oliver Zendel, Csaba Beleznai, Martin Humenberger, Daniel Steininger, Katrin Honauer, Julia Simon and Margrit Gelautz and has published in prestigious journals such as International Journal of Computer Vision, 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) and arXiv (Cornell University).

In The Last Decade

Markus Murschitz

7 papers receiving 186 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Markus Murschitz Austria	5	101	50	45	30	24	9	192
Oliver Zendel Austria	5	103 1.0×	50 1.0×	45 1.0×	30 1.0×	24 1.0×	10	196
Nachuan Ma China	7	118 1.2×	37 0.7×	71 1.6×	19 0.6×	8 0.3×	12	221
Lixia Deng China	8	191 1.9×	36 0.7×	17 0.4×	27 0.9×	11 0.5×	28	342
Laksono Kurnianggoro South Korea	9	222 2.2×	33 0.7×	13 0.3×	29 1.0×	30 1.3×	31	300
Thiago M. Paixão Brazil	8	110 1.1×	33 0.7×	11 0.2×	15 0.5×	11 0.5×	23	155
Dhiraj Sangwan India	8	83 0.8×	49 1.0×	29 0.6×	8 0.3×	13 0.5×	41	258
Seong-Gyun Jeong South Korea	9	195 1.9×	97 1.9×	29 0.6×	30 1.0×	13 0.5×	17	289
Alexander Filonenko South Korea	11	297 2.9×	49 1.0×	12 0.3×	24 0.8×	29 1.2×	31	371
Meiqing Wu Singapore	11	229 2.3×	54 1.1×	10 0.2×	18 0.6×	14 0.6×	39	283
Yuchen Yang China	9	146 1.4×	63 1.3×	8 0.2×	15 0.5×	14 0.6×	37	289

Countries citing papers authored by Markus Murschitz

Since Specialization

Citations

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

Fields of papers citing papers by Markus Murschitz

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Markus Murschitz

This figure shows the co-authorship network connecting the top 25 collaborators of Markus Murschitz. A scholar is included among the top collaborators of Markus Murschitz 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 Markus Murschitz. Markus Murschitz 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:

9 of 9 papers shown

1.

Steininger, Daniel, et al.. (2025). TimberVision: A Multi-Task Dataset and Framework for Log-Component Segmentation and Tracking in Autonomous Forestry Operations. arXiv (Cornell University). 5601–5610.

2.

Zendel, Oliver, et al.. (2023). Joint Camera and LiDAR Risk Analysis. 88–97. 1 indexed citations

3.

Beleznai, Csaba, et al.. (2022). PrimitivePose: 3D Bounding Box Prediction of Unseen Objects via Synthetic Geometric Primitives. 190–197.

4.

Zendel, Oliver, et al.. (2022). Unifying Panoptic Segmentation for Autonomous Driving. 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR). 21319–21328. 31 indexed citations

5.

Zendel, Oliver, et al.. (2019). RailSem19: A Dataset for Semantic Rail Scene Understanding. 1221–1229. 86 indexed citations

6.

Zendel, Oliver, et al.. (2017). Analyzing Computer Vision Data — The Good, the Bad and the Ugly. 6670–6680. 15 indexed citations

7.

Zendel, Oliver, et al.. (2017). How Good Is My Test Data? Introducing Safety Analysis for Computer Vision. International Journal of Computer Vision. 125(1-3). 95–109. 31 indexed citations

8.

Zendel, Oliver, et al.. (2015). CV-HAZOP: Introducing Test Data Validation for Computer Vision. 2066–2074. 25 indexed citations

9.

Zendel, Oliver, et al.. (2013). VITRO - Model based vision testing for robustness. 18. 1–6. 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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