Matthias Niesner

8 total papers · 574 total citations
8 papers, 359 citations indexed

About

Matthias Niesner is a scholar working on Computer Vision and Pattern Recognition, Computational Mechanics and Computer Graphics and Computer-Aided Design. According to data from OpenAlex, Matthias Niesner has authored 8 papers receiving a total of 359 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Computer Vision and Pattern Recognition, 4 papers in Computational Mechanics and 4 papers in Computer Graphics and Computer-Aided Design. Recurrent topics in Matthias Niesner's work include Advanced Vision and Imaging (4 papers), 3D Shape Modeling and Analysis (4 papers) and Computer Graphics and Visualization Techniques (4 papers). Matthias Niesner is often cited by papers focused on Advanced Vision and Imaging (4 papers), 3D Shape Modeling and Analysis (4 papers) and Computer Graphics and Visualization Techniques (4 papers). Matthias Niesner collaborates with scholars based in Germany, United States and United Kingdom. Matthias Niesner's co-authors include Ji Hou, Benjamin Graham, Saining Xie, Bo Zheng, Yinyu Nie, Xiaoguang Han, Yawar Siddiqui, Angela Dai, Justus Thies and Julien Valentin and has published in prestigious journals such as 2021 IEEE/CVF International Conference on Computer Vision (ICCV) and 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW).

In The Last Decade

Matthias Niesner

8 papers receiving 354 citations

Hit Papers

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Author Peers

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

Author Last Decade Papers Cites
Matthias Niesner 228 203 135 89 80 8 359
Marie‐Julie Rakotosaona 156 0.7× 199 1.0× 94 0.7× 101 1.1× 75 0.9× 8 333
Zaiwei Zhang 163 0.7× 184 0.9× 117 0.9× 58 0.7× 56 0.7× 12 378
Xinhan Di 248 1.1× 175 0.9× 201 1.5× 84 0.9× 127 1.6× 7 389
Ruixuan Yu 173 0.8× 185 0.9× 103 0.8× 47 0.5× 44 0.6× 10 305
Chen Kong 230 1.0× 284 1.4× 90 0.7× 131 1.5× 27 0.3× 9 378
Chuhang Zou 117 0.5× 282 1.4× 138 1.0× 67 0.8× 63 0.8× 11 389
Jiadai Sun 137 0.6× 193 1.0× 171 1.3× 30 0.3× 103 1.3× 15 379
Mingyang Shang 224 1.0× 188 0.9× 127 0.9× 84 0.9× 28 0.3× 19 394
Songfang Han 106 0.5× 306 1.5× 110 0.8× 75 0.8× 67 0.8× 12 403
Yi Fang 208 0.9× 227 1.1× 84 0.6× 47 0.5× 23 0.3× 17 361

Countries citing papers authored by Matthias Niesner

Since Specialization
Citations

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

Fields of papers citing papers by Matthias Niesner

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Matthias Niesner

This figure shows the co-authorship network connecting the top 25 collaborators of Matthias Niesner. A scholar is included among the top collaborators of Matthias Niesner 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 Matthias Niesner. Matthias Niesner 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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