Edgar Tretschk

987 total citations · 2 hit papers
4 papers, 477 citations indexed

About

Edgar Tretschk is a scholar working on Computer Vision and Pattern Recognition, Computer Graphics and Computer-Aided Design and Computational Mechanics. According to data from OpenAlex, Edgar Tretschk has authored 4 papers receiving a total of 477 indexed citations (citations by other indexed papers that have themselves been cited), including 3 papers in Computer Vision and Pattern Recognition, 2 papers in Computer Graphics and Computer-Aided Design and 1 paper in Computational Mechanics. Recurrent topics in Edgar Tretschk's work include Advanced Vision and Imaging (2 papers), Computer Graphics and Visualization Techniques (2 papers) and Advanced Image and Video Retrieval Techniques (1 paper). Edgar Tretschk is often cited by papers focused on Advanced Vision and Imaging (2 papers), Computer Graphics and Visualization Techniques (2 papers) and Advanced Image and Video Retrieval Techniques (1 paper). Edgar Tretschk collaborates with scholars based in Germany, Switzerland and Israel. Edgar Tretschk's co-authors include Christian Theobalt, Vladislav Golyanik, Ayush Tewari, Michael Zollhöfer, Christoph Lassner, Gordon Wetzstein, Pratul P. Srinivasan, Matthias Nießner, Justus Thies and Stephen Lombardi and has published in prestigious journals such as Computer Graphics Forum, 2021 IEEE/CVF International Conference on Computer Vision (ICCV) and MPG.PuRe (Max Planck Society).

In The Last Decade

Edgar Tretschk

4 papers receiving 462 citations

Hit Papers

align trajectories

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.

Non-Rigid Neural Radiance Fields: Reconstruction and Novel View Synthesis of a Dynamic Scene From Monocular Video

2021 248 citations Edgar Tretschk, Ayush Tewari et al. 2021 IEEE/CVF International Conference on Computer Vision (ICCV) profile →
Advances in Neural Rendering

2022 203 citations Ayush Tewari, Justus Thies et al. Computer Graphics Forum profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Edgar Tretschk Germany	4	386	244	242	44	35	4	477
Keunhong Park United States	6	410 1.1×	253 1.0×	217 0.9×	44 1.0×	33 0.9×	7	495
Anpei Chen China	8	612 1.6×	366 1.5×	285 1.2×	60 1.4×	42 1.2×	14	694
Matthew A. Chan United States	2	544 1.4×	327 1.3×	298 1.2×	36 0.8×	35 1.0×	4	666
Fanbo Xiang United States	5	448 1.2×	296 1.2×	203 0.8×	62 1.4×	35 1.0×	9	541
Michael Zollhoefer United States	8	450 1.2×	256 1.0×	284 1.2×	72 1.6×	36 1.0×	13	560
Shangzhe Wu United Kingdom	8	326 0.8×	103 0.4×	174 0.7×	65 1.5×	42 1.2×	18	411
Connor Z. Lin United States	3	576 1.5×	341 1.4×	322 1.3×	36 0.8×	31 0.9×	4	716
Kangle Deng United States	4	425 1.1×	243 1.0×	152 0.6×	90 2.0×	45 1.3×	5	509
Jordi Salvador Spain	9	406 1.1×	105 0.4×	115 0.5×	37 0.8×	36 1.0×	29	516

Countries citing papers authored by Edgar Tretschk

Since Specialization

Citations

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

Fields of papers citing papers by Edgar Tretschk

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Edgar Tretschk

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

All Works

Sort: Min cites: Since: Top N: Style:

4 of 4 papers shown

1.

Tewari, Ayush, Justus Thies, Ben Mildenhall, et al.. (2022). Advances in Neural Rendering. Computer Graphics Forum. 41(2). 703–735. 203 indexed citations breakdown →

2.

Tretschk, Edgar, Ayush Tewari, Vladislav Golyanik, et al.. (2021). Non-Rigid Neural Radiance Fields: Reconstruction and Novel View Synthesis of a Dynamic Scene From Monocular Video. 2021 IEEE/CVF International Conference on Computer Vision (ICCV). 12939–12950. 248 indexed citations breakdown →

3.

Shimada, Soshi, Vladislav Golyanik, Edgar Tretschk, Didier Stricker, & Christian Theobalt. (2019). DispVoxNets: Non-Rigid Point Set Alignment with Supervised Learning Proxies. 27–36. 12 indexed citations

4.

Tretschk, Edgar, Seong Joon Oh, & Mario Fritz. (2018). Sequential Attacks on Agents for Long-Term Adversarial Goals. MPG.PuRe (Max Planck Society). 14 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