Martin Rünz

604 total citations
6 papers, 200 citations indexed

About

Martin Rünz is a scholar working on Computer Vision and Pattern Recognition, Computational Mechanics and Aerospace Engineering. According to data from OpenAlex, Martin Rünz has authored 6 papers receiving a total of 200 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 2 papers in Aerospace Engineering. Recurrent topics in Martin Rünz's work include Advanced Vision and Imaging (4 papers), 3D Shape Modeling and Analysis (4 papers) and Computer Graphics and Visualization Techniques (2 papers). Martin Rünz 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 (2 papers). Martin Rünz collaborates with scholars based in United Kingdom, Germany and Australia. Martin Rünz's co-authors include Lourdes Agapito, Jingwen Wang, Matthias Nießner, Taras Khakhulin, J. Starck, Tobias Kirschstein, Steven Lovegrove, Kejie Li, Chen Kong and Tanner Schmidt and has published in prestigious journals such as ACM Transactions on Graphics.

In The Last Decade

Martin Rünz

6 papers receiving 193 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Martin Rünz United Kingdom	6	155	89	61	61	40	6	200
Alex Evans United Kingdom	5	173 1.1×	109 1.2×	29 0.5×	135 2.2×	25 0.6×	7	234
Taoran Yi China	2	140 0.9×	60 0.7×	27 0.4×	73 1.2×	16 0.4×	3	205
Thibault Groueix United States	9	142 0.9×	121 1.4×	25 0.4×	88 1.4×	28 0.7×	15	212
Miroslava Slavcheva Germany	6	197 1.3×	117 1.3×	91 1.5×	81 1.3×	44 1.1×	8	232
JunYoung Gwak United States	6	184 1.2×	107 1.2×	48 0.8×	56 0.9×	49 1.2×	6	239
Chao Wen China	7	164 1.1×	144 1.6×	21 0.3×	77 1.3×	36 0.9×	12	265
Oscar Michel United States	1	155 1.0×	104 1.2×	19 0.3×	97 1.6×	34 0.8×	2	236
Matt Deitke United States	2	159 1.0×	104 1.2×	20 0.3×	97 1.6×	34 0.8×	6	243
Eli VanderBilt United States	3	167 1.1×	106 1.2×	23 0.4×	98 1.6×	34 0.8×	3	258

Countries citing papers authored by Martin Rünz

Since Specialization

Citations

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

Fields of papers citing papers by Martin Rünz

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Martin Rünz

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

All Works

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6 of 6 papers shown

1.

Kirschstein, Tobias, et al.. (2024). NPGA: Neural Parametric Gaussian Avatars. 1–11. 8 indexed citations

2.

Kirschstein, Tobias, et al.. (2024). MonoNPHM: Dynamic Head Reconstruction from Monocular Videos. 10747–10758. 10 indexed citations

3.

Rünz, Martin, et al.. (2023). HumanRF: High-Fidelity Neural Radiance Fields for Humans in Motion. ACM Transactions on Graphics. 42(4). 1–12. 73 indexed citations

4.

Kirschstein, Tobias, et al.. (2023). Learning Neural Parametric Head Models. 21003–21012. 18 indexed citations

5.

Wang, Jingwen, Martin Rünz, & Lourdes Agapito. (2021). DSP-SLAM: Object Oriented SLAM with Deep Shape Priors. 1362–1371. 52 indexed citations

6.

Rünz, Martin, Kejie Li, Meng Tang, et al.. (2020). FroDO: From Detections to 3D Objects. 14708–14717. 39 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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