Markus Schoeler

1.0k total citations · 1 hit paper
14 papers, 666 citations indexed

About

Markus Schoeler is a scholar working on Computer Vision and Pattern Recognition, Aerospace Engineering and Control and Systems Engineering. According to data from OpenAlex, Markus Schoeler has authored 14 papers receiving a total of 666 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Computer Vision and Pattern Recognition, 6 papers in Aerospace Engineering and 4 papers in Control and Systems Engineering. Recurrent topics in Markus Schoeler's work include Robotics and Sensor-Based Localization (5 papers), Advanced Neural Network Applications (5 papers) and Advanced Image and Video Retrieval Techniques (3 papers). Markus Schoeler is often cited by papers focused on Robotics and Sensor-Based Localization (5 papers), Advanced Neural Network Applications (5 papers) and Advanced Image and Video Retrieval Techniques (3 papers). Markus Schoeler collaborates with scholars based in Germany and United Kingdom. Markus Schoeler's co-authors include Jérémie Papon, Florentin Wörgötter, Alexey Abramov, Simon Christoph Stein, Tomas Kulvičius, Florentin Wörgötter, Frank Guérin, Anton Kummert, Timo Lüddecke and Matthias Braun and has published in prestigious journals such as IEEE Transactions on Cognitive and Developmental Systems, Journal of Physics Conference Series and Aberdeen University Research Archive (Aberdeen University).

In The Last Decade

Markus Schoeler

11 papers receiving 643 citations

Hit Papers

align trajectories

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.

Voxel Cloud Connectivity Segmentation - Supervoxels for Point Clouds

2013 382 citations Jérémie Papon, Alexey Abramov et al. profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Markus Schoeler Germany	8	307	266	259	231	147	14	666
Alexey Abramov Germany	8	354 1.2×	195 0.7×	204 0.8×	186 0.8×	97 0.7×	11	679
Jérémie Papon Germany	13	472 1.5×	280 1.1×	267 1.0×	321 1.4×	150 1.0×	23	968
Suat Gedikli Germany	7	613 2.0×	264 1.0×	167 0.6×	434 1.9×	226 1.5×	12	954
Laurent Trassoudaine France	15	263 0.9×	242 0.9×	309 1.2×	227 1.0×	72 0.5×	43	707
Paul Checchin France	14	259 0.8×	267 1.0×	335 1.3×	287 1.2×	73 0.5×	47	742
Aitor Aldomà Austria	9	412 1.3×	227 0.9×	94 0.4×	408 1.8×	83 0.6×	11	686
Klaas Klasing Germany	6	279 0.9×	148 0.6×	194 0.7×	229 1.0×	68 0.5×	10	556
Fangzhou Hong Singapore	11	581 1.9×	155 0.6×	210 0.8×	183 0.8×	333 2.3×	20	874
Feilong Yan China	14	321 1.0×	142 0.5×	397 1.5×	83 0.4×	120 0.8×	15	856
Bernhard Zeisl Switzerland	9	449 1.5×	184 0.7×	102 0.4×	405 1.8×	54 0.4×	14	657

Countries citing papers authored by Markus Schoeler

Since Specialization

Citations

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

Fields of papers citing papers by Markus Schoeler

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Markus Schoeler

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

14 of 14 papers shown

1.

Braun, Matthias, et al.. (2021). Semantic Segmentation of Radar Detections using Convolutions on Point Clouds. Journal of Physics Conference Series. 1924(1). 12003–12003.

2.

Lüddecke, Timo, et al.. (2017). Part-driven Visual Perception of 3D Objects. 370–377.

3.

Guérin, Frank, et al.. (2016). A model-based approach to finding substitute tools in 3D vision data. Aberdeen University Research Archive (Aberdeen University). pp. 2471–2478. 18 indexed citations

4.

Schoeler, Markus, Florentin Wörgötter, Tomas Kulvičius, & Jérémie Papon. (2015). Unsupervised Generation of Context-Relevant Training-Sets for Visual Object Recognition Employing Multilinguality. 13. 805–812.

5.

Schoeler, Markus, Jérémie Papon, & Florentin Wörgötter. (2015). Constrained planar cuts - Object partitioning for point clouds. 5207–5215. 26 indexed citations

6.

Papon, Jérémie & Markus Schoeler. (2015). Semantic Pose Using Deep Networks Trained on Synthetic RGB-D. 774–782. 31 indexed citations

7.

Schoeler, Markus & Florentin Wörgötter. (2015). Bootstrapping the Semantics of Tools: Affordance Analysis of Real World Objects on a Per-part Basis. IEEE Transactions on Cognitive and Developmental Systems. 8(2). 84–98. 28 indexed citations

8.

Papon, Jérémie, Markus Schoeler, & Florentin Wörgötter. (2015). Spatially Stratified Correspondence Sampling for Real-Time Point Cloud Tracking. 124–131. 2 indexed citations

9.

Stein, Simon Christoph, Florentin Wörgötter, Markus Schoeler, Jérémie Papon, & Tomas Kulvičius. (2014). Convexity based object partitioning for robot applications. 3213–3220. 41 indexed citations

10.

Schoeler, Markus, Simon Christoph Stein, Jérémie Papon, Alexey Abramov, & Florentin Wörgötter. (2014). Fast Self-supervised On-line Training for Object Recognition Specifically for Robotic Applications. 94–103. 7 indexed citations

11.

Stein, Simon Christoph, Markus Schoeler, Jérémie Papon, & Florentin Wörgötter. (2014). Object Partitioning Using Local Convexity. 304–311. 129 indexed citations

12.

Aksoy, Eren Erdal, Markus Schoeler, & Florentin Wörgötter. (2014). Testing piaget's ideas on robots: Assimilation and accommodation using the semantics of actions. 107–108. 1 indexed citations

13.

Schoeler, Markus, et al.. (2014). Automated generation of training sets for object recognition in robotic applications. 1–7. 1 indexed citations

14.

Papon, Jérémie, Alexey Abramov, Markus Schoeler, & Florentin Wörgötter. (2013). Voxel Cloud Connectivity Segmentation - Supervoxels for Point Clouds. 2027–2034. 382 indexed citations breakdown →

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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