J. Sturm

39 total papers · 594 total citations
20 papers, 370 citations indexed

About

J. Sturm is a scholar working on Computer Vision and Pattern Recognition, Aerospace Engineering and Molecular Biology. According to data from OpenAlex, J. Sturm has authored 20 papers receiving a total of 370 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Computer Vision and Pattern Recognition, 8 papers in Aerospace Engineering and 4 papers in Molecular Biology. Recurrent topics in J. Sturm's work include Robotics and Sensor-Based Localization (8 papers), Advanced Vision and Imaging (5 papers) and Robotic Path Planning Algorithms (4 papers). J. Sturm is often cited by papers focused on Robotics and Sensor-Based Localization (8 papers), Advanced Vision and Imaging (5 papers) and Robotic Path Planning Algorithms (4 papers). J. Sturm collaborates with scholars based in Germany, France and United States. J. Sturm's co-authors include Daniel Cremers, Wolfram Burgard, Jakob Engel, Felix Endres, Jürgen Hess, Nikolas Engelhard, Cyrill Stachniss, G. Weill, A. Visser and Anshul Jain and has published in prestigious journals such as SHILAP Revista de lepidopterología, The Journal of Physical Chemistry and Biopolymers.

In The Last Decade

J. Sturm

16 papers receiving 350 citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
J. Sturm 222 198 67 61 47 20 370
G. Gruener 194 0.9× 205 1.0× 26 0.4× 63 1.0× 51 1.1× 14 408
Xiyuan Liu 133 0.6× 74 0.4× 6 0.1× 68 1.1× 187 4.0× 20 413
Shi Bai 170 0.8× 149 0.8× 40 0.6× 8 0.1× 21 0.4× 27 357
Shibin Yin 58 0.3× 250 1.3× 122 1.8× 59 1.0× 75 1.6× 22 443
Amaury Dame 222 1.0× 315 1.6× 21 0.3× 51 0.8× 25 0.5× 12 383
Chiun-Hong Chien 156 0.7× 249 1.3× 23 0.3× 44 0.7× 9 0.2× 18 348
Xiaolong Zhu 24 0.1× 59 0.3× 63 0.9× 11 0.2× 28 0.6× 28 338
Yalin Xiong 126 0.6× 268 1.4× 12 0.2× 13 0.2× 30 0.6× 27 381
Ke Song 78 0.4× 149 0.8× 30 0.4× 2 0.0× 45 1.0× 24 335
Dehong Yu 38 0.2× 131 0.7× 75 1.1× 44 0.7× 46 1.0× 33 427

Countries citing papers authored by J. Sturm

Since Specialization
Citations

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

Fields of papers citing papers by J. Sturm

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of J. Sturm

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

All Works

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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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