Markus Ulrich

2.6k total citations · 1 hit paper
62 papers, 1.7k citations indexed

About

Markus Ulrich is a scholar working on Computer Vision and Pattern Recognition, Aerospace Engineering and Industrial and Manufacturing Engineering. According to data from OpenAlex, Markus Ulrich has authored 62 papers receiving a total of 1.7k indexed citations (citations by other indexed papers that have themselves been cited), including 30 papers in Computer Vision and Pattern Recognition, 17 papers in Aerospace Engineering and 10 papers in Industrial and Manufacturing Engineering. Recurrent topics in Markus Ulrich's work include Robotics and Sensor-Based Localization (15 papers), Image and Object Detection Techniques (14 papers) and Optical measurement and interference techniques (11 papers). Markus Ulrich is often cited by papers focused on Robotics and Sensor-Based Localization (15 papers), Image and Object Detection Techniques (14 papers) and Optical measurement and interference techniques (11 papers). Markus Ulrich collaborates with scholars based in Germany, Switzerland and Spain. Markus Ulrich's co-authors include Bertram Drost, Slobodan Ilić, Nassir Navab, Carsten Steger, Armin Bunde, Christian Wiedemann, J. Rivas, J. Garcı́a-Otero, Albert Baumgartner and Jürgen Müller and has published in prestigious journals such as SHILAP Revista de lepidopterología, Physical review. B, Condensed matter and Applied Physics Letters.

In The Last Decade

Markus Ulrich

61 papers receiving 1.6k citations

Hit Papers

Model globally, match locally: Efficient and robust 3D ob... 2010 2026 2015 2020 2010 200 400 600
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. Model globally, match locally: Efficient and robust 3D object recognition
    2010 631 citations Markus Ulrich 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
Markus Ulrich Germany 16 737 733 371 285 201 62 1.7k
D.K. Wehe United States 27 806 1.1× 973 1.3× 220 0.6× 224 0.8× 882 4.4× 148 3.7k
Fausto Bernardini United States 24 1.2k 1.7× 422 0.6× 58 0.2× 832 2.9× 242 1.2× 61 3.4k
Tomas Möller Sweden 7 492 0.7× 257 0.4× 91 0.2× 80 0.3× 179 0.9× 7 1.4k
Takashi Maekawa Japan 30 579 0.8× 124 0.2× 205 0.6× 95 0.3× 303 1.5× 81 2.7k
Long Zeng China 25 182 0.2× 424 0.6× 130 0.4× 27 0.1× 393 2.0× 178 2.2k
B. C. McCallum New Zealand 11 627 0.9× 143 0.2× 66 0.2× 173 0.6× 113 0.6× 13 2.0k
Colin Bradley Canada 27 539 0.7× 171 0.2× 277 0.7× 190 0.7× 572 2.8× 125 2.5k
Giuseppe Schirripa Spagnolo Italy 19 540 0.7× 98 0.1× 31 0.1× 97 0.3× 292 1.5× 167 1.7k
Yan Hu China 24 1.4k 1.9× 194 0.3× 19 0.1× 259 0.9× 304 1.5× 92 2.3k
Pradeep Ramuhalli United States 19 227 0.3× 130 0.2× 236 0.6× 12 0.0× 110 0.5× 118 1.4k

Countries citing papers authored by Markus Ulrich

Since Specialization
Citations

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

Fields of papers citing papers by Markus Ulrich

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Markus Ulrich

This figure shows the co-authorship network connecting the top 25 collaborators of Markus Ulrich. A scholar is included among the top collaborators of Markus Ulrich 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 Ulrich. Markus Ulrich 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.
Ulrich, Markus, et al.. (2025). A comparative study on multi-task uncertainty quantification in semantic segmentation and monocular depth estimation. tm - Technisches Messen. 92(7-8). 298–310. 2 indexed citations
2.
Ulrich, Markus, et al.. (2024). DUDES: Deep Uncertainty Distillation using Ensembles for Semantic Segmentation. PFG – Journal of Photogrammetry Remote Sensing and Geoinformation Science. 92(2). 101–114. 4 indexed citations
3.
Ulrich, Markus, Dirk Lehnick, Klaus Strobel, et al.. (2024). Quantitative bone single photon emission computed tomography/computed tomography in symptomatic and asymptomatic foot and ankle osteoarthritis. Nuclear Medicine Communications. 45(10). 848–857.
4.
Ulrich, Markus, et al.. (2024). Vision-guided robot calibration using photogrammetric methods. ISPRS Journal of Photogrammetry and Remote Sensing. 218. 645–662. 3 indexed citations
5.
6.
Haitz, D., et al.. (2023). COMBINING HOLOLENS WITH INSTANT-NERFS: ADVANCED REAL-TIME 3D MOBILE MAPPING. SHILAP Revista de lepidopterología. XLVIII-1/W1-2023. 167–174. 4 indexed citations
7.
Ulrich, Markus, et al.. (2023). Novel developments of refractive power measurement techniques in the automotive world. Metrologia. 60(6). 64001–64001. 1 indexed citations
8.
Keller, Sina, et al.. (2022). EVALUATION OF SELF-SUPERVISED LEARNING APPROACHES FOR SEMANTIC SEGMENTATION OF INDUSTRIAL BURNER FLAMES. SHILAP Revista de lepidopterología. XLIII-B2-2022. 601–607. 2 indexed citations
9.
Heizmann, Michael, et al.. (2020). Artificial intelligence with neural networks in optical measurement and inspection systems. at - Automatisierungstechnik. 68(6). 477–487. 4 indexed citations
10.
Nußbaumer, Thomas, et al.. (2019). Scale-up methodology for automatic biomass furnaces. Journal of the Energy Institute. 93(2). 591–604. 7 indexed citations
11.
Ulrich, Markus, et al.. (2018). Preserving the lower extremity after severe devolving injuries to meet the patient's demand in two cases. Trauma Case Reports. 15. 8–15. 5 indexed citations
12.
Ulrich, Markus. (2017). Object recognition in machine vision. 1 indexed citations
13.
Stoll, Paul, et al.. (2015). Imbalance of dendritic cell co-stimulation in COPD. Respiratory Research. 16(1). 19–19. 22 indexed citations
14.
Ulrich, Markus, Christian Wiedemann, & Carsten Steger. (2011). Combining Scale-Space and Similarity-Based Aspect Graphs for Fast 3D Object Recognition. IEEE Transactions on Pattern Analysis and Machine Intelligence. 34(10). 1902–1914. 101 indexed citations
15.
Pietraß, Manuela & Markus Ulrich. (2009). Medienkompetenz unter milieutheoretischer Betrachtung. Der Einfluss rezeptionsästhetischer Präferenzen auf die Angebotsselektion. SHILAP Revista de lepidopterología. 17. 1–20. 1 indexed citations
16.
Bunde, Armin, Paul Heitjans, Sylvio Indris, Jan W. Kantelhardt, & Markus Ulrich. (2007). Anomalous transport and diffusion in percolation systems. Diffusion fundamentals.. 6. 2 indexed citations
17.
Ulrich, Markus, J. Garcı́a-Otero, J. Rivas, & Armin Bunde. (2003). Slow relaxation in ferromagnetic nanoparticles: Indication of spin-glass behavior. Physical review. B, Condensed matter. 67(2). 160 indexed citations
18.
Ulrich, Markus, Albert Baumgartner, & Carsten Steger. (2002). Automatic Hierarchical Object Decomposition for Object Recognition. ˜The œinternational archives of the photogrammetry, remote sensing and spatial information sciences. 99. 3 indexed citations
19.
Caliezi, Christoph, Franziska Demarmels Biasiutti, Iris Baumgärtner, et al.. (2001). Rapid D-dimer testing and pre-test clinical probability in the exclusion of deep venous thrombosis in symptomatic outpatients. Blood Coagulation & Fibrinolysis. 12(3). 165–170. 33 indexed citations
20.
Caliezi, Christoph, Iris Baumgärtner, Irmela Sulzer, et al.. (1999). Performance of a New Fibrin Monomer Assay to Exclude Deep Vein Thrombosis in Symptomatic Outpatients. Thrombosis and Haemostasis. 81(1). 50–53. 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.

Explore authors with similar magnitude of impact

Breakdown of academic impact, for papers by D.K. Wehe Breakdown of academic impact, for papers by Fausto Bernardini Breakdown of academic impact, for papers by Tomas Möller Breakdown of academic impact, for papers by Takashi Maekawa Breakdown of academic impact, for papers by Long Zeng Breakdown of academic impact, for papers by B. C. McCallum Breakdown of academic impact, for papers by Colin Bradley Breakdown of academic impact, for papers by Giuseppe Schirripa Spagnolo Breakdown of academic impact, for papers by Yan Hu Breakdown of academic impact, for papers by Pradeep Ramuhalli
Rankless by CCL
2026