Ole Schumann

630 total citations
14 papers, 429 citations indexed

About

Ole Schumann is a scholar working on Aerospace Engineering, Ocean Engineering and Oceanography. According to data from OpenAlex, Ole Schumann has authored 14 papers receiving a total of 429 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Aerospace Engineering, 5 papers in Ocean Engineering and 4 papers in Oceanography. Recurrent topics in Ole Schumann's work include Advanced SAR Imaging Techniques (6 papers), Geophysical Methods and Applications (5 papers) and Underwater Acoustics Research (4 papers). Ole Schumann is often cited by papers focused on Advanced SAR Imaging Techniques (6 papers), Geophysical Methods and Applications (5 papers) and Underwater Acoustics Research (4 papers). Ole Schumann collaborates with scholars based in Germany and New Zealand. Ole Schumann's co-authors include Jürgen Dickmann, Markus Hahn, Christian Wöhler, Nicolas Scheiner, Gerd Wanielik, Martin Fritzsche, Stephan C. Kramer, Salvatore R. Manmana, Claus Heussinger and Stefan Kehrein and has published in prestigious journals such as The Journal of Chemical Physics, Physical review. B. and IEEE Robotics and Automation Letters.

In The Last Decade

Ole Schumann

14 papers receiving 421 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Ole Schumann Germany	8	257	143	89	83	68	14	429
Paul Murcutt United Kingdom	4	198 0.8×	140 1.0×	52 0.6×	59 0.7×	46 0.7×	5	314
Werner Ritter Germany	11	105 0.4×	132 0.9×	66 0.7×	93 1.1×	71 1.0×	17	334
Xiao Ai United Kingdom	12	57 0.2×	248 1.7×	87 1.0×	123 1.5×	81 1.2×	33	574
Philipp Heidenreich Germany	10	339 1.3×	90 0.6×	32 0.4×	39 0.5×	26 0.4×	20	587
Yuxuan Zhou China	14	392 1.5×	127 0.9×	46 0.5×	25 0.3×	37 0.5×	62	530
Xiangyu Gao United States	8	203 0.8×	117 0.8×	17 0.2×	24 0.3×	23 0.3×	20	411
Shengyu Li China	15	519 2.0×	155 1.1×	48 0.5×	29 0.3×	36 0.5×	49	638
Sinan Hasirlioglu Germany	9	69 0.3×	107 0.7×	99 1.1×	147 1.8×	117 1.7×	14	326
Pak Hung Chan United Kingdom	8	44 0.2×	87 0.6×	42 0.5×	46 0.6×	76 1.1×	19	350

Countries citing papers authored by Ole Schumann

Since Specialization

Citations

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

Fields of papers citing papers by Ole Schumann

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ole Schumann

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

All Works

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14 of 14 papers shown

1.

Schumann, Ole, et al.. (2023). Road User Detection on Polarimetric Pre-CFAR Radar Data Level. IEEE Robotics and Automation Letters. 8(6). 3558–3565. 4 indexed citations

2.

Schumann, Ole, et al.. (2022). Reduction of Sidelobe Effects in Automotive Polarimetric Radar Measurements. 169–172. 2 indexed citations

3.

Schumann, Ole, et al.. (2021). RadarScenes: A Real-World Radar Point Cloud Data Set for Automotive Applications. 1–8. 94 indexed citations

4.

Schumann, Ole, et al.. (2021). Polarimetric Information Representation for Radar based Road User Detection with Deep Learning. 1–6. 6 indexed citations

5.

Schumann, Ole, et al.. (2021). Road User Classification with Polarimetric Radars. 112–115. 12 indexed citations

6.

Schumann, Ole, et al.. (2020). Detection and Tracking on Automotive Radar Data with Deep Learning. 1–7. 23 indexed citations

7.

Schumann, Ole, et al.. (2019). Polarimetric Signatures of a Passenger Car. 2 indexed citations

8.

Schumann, Ole, et al.. (2019). Scene Understanding With Automotive Radar. IEEE Transactions on Intelligent Vehicles. 5(2). 188–203. 80 indexed citations

9.

Köhler, Thomas, Ole Schumann, Mohsen Sotoudeh, et al.. (2018). Relaxation of photoexcitations in polaron-induced magnetic microstructures. Physical review. B.. 97(23). 6 indexed citations

10.

Schumann, Ole, Markus Hahn, Jürgen Dickmann, & Christian Wöhler. (2018). Semantic Segmentation on Radar Point Clouds. 2179–2186. 118 indexed citations

11.

Schumann, Ole, Markus Hahn, Jürgen Dickmann, & Christian Wöhler. (2018). Supervised Clustering for Radar Applications: On the Way to Radar Instance Segmentation. 1–4. 12 indexed citations

12.

Schumann, Ole, Christian Wöhler, Markus Hahn, & Jürgen Dickmann. (2017). Comparison of random forest and long short-term memory network performances in classification tasks using radar. 58 indexed citations

13.

Schumann, Ole, et al.. (2014). Elasto-plastic response of reversibly crosslinked biopolymer bundles. The European Physical Journal E. 37(6). 14–14. 4 indexed citations

14.

Schumann, Ole, et al.. (2014). Melting of “non-magic” argon clusters and extrapolation to the bulk limit. The Journal of Chemical Physics. 140(4). 44325–44325. 8 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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