Michael Waechter

801 total citations
12 papers, 252 citations indexed

About

Michael Waechter is a scholar working on Computer Vision and Pattern Recognition, Computer Graphics and Computer-Aided Design and Genetics. According to data from OpenAlex, Michael Waechter has authored 12 papers receiving a total of 252 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Computer Vision and Pattern Recognition, 7 papers in Computer Graphics and Computer-Aided Design and 2 papers in Genetics. Recurrent topics in Michael Waechter's work include Advanced Vision and Imaging (8 papers), Computer Graphics and Visualization Techniques (7 papers) and Image Enhancement Techniques (3 papers). Michael Waechter is often cited by papers focused on Advanced Vision and Imaging (8 papers), Computer Graphics and Visualization Techniques (7 papers) and Image Enhancement Techniques (3 papers). Michael Waechter collaborates with scholars based in Germany, Japan and Canada. Michael Waechter's co-authors include Michael Goesele, Simon Fuhrmann, Nils Moehrle, Daniel B. Wright, Kamala London, Fabian Langguth, Nicolas Weber, Stefan Guthe, Johannes Kopf and Yasuyuki Matsushita and has published in prestigious journals such as IEEE Transactions on Pattern Analysis and Machine Intelligence, ACM Transactions on Graphics and International Journal of Computer Vision.

In The Last Decade

Michael Waechter

12 papers receiving 242 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Michael Waechter Germany 7 152 49 49 47 42 12 252
Bastian Goldlücke Germany 9 344 2.3× 50 1.0× 27 0.6× 19 0.4× 66 1.6× 14 405
Eva Pietroni Italy 13 190 1.3× 49 1.0× 12 0.2× 225 4.8× 23 0.5× 49 494
Ondřej Drbohlav Czechia 8 178 1.2× 29 0.6× 22 0.4× 23 0.5× 86 2.0× 11 224
Daniël Pletinckx Italy 10 168 1.1× 24 0.5× 24 0.5× 127 2.7× 33 0.8× 30 313
Siming Yan United States 5 85 0.6× 143 2.9× 13 0.3× 22 0.5× 17 0.4× 9 245
L. Sharan United States 4 207 1.4× 112 2.3× 8 0.2× 9 0.2× 22 0.5× 10 347
Kyle Olszewski United States 12 489 3.2× 44 0.9× 14 0.3× 18 0.4× 141 3.4× 15 597
Thomas Pellegrini France 11 54 0.4× 14 0.3× 8 0.2× 22 0.5× 9 0.2× 49 370
Philippe Colantoni France 8 88 0.6× 73 1.5× 15 0.3× 11 0.2× 22 0.5× 23 193
Yezhi Shu China 10 186 1.2× 51 1.0× 53 1.1× 9 0.2× 14 0.3× 14 270

Countries citing papers authored by Michael Waechter

Since Specialization
Citations

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

Fields of papers citing papers by Michael Waechter

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Michael Waechter

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

All Works

12 of 12 papers shown
1.
Waechter, Michael, et al.. (2022). Discrete Search Photometric Stereo for Fast and Accurate Shape Estimation. IEEE Transactions on Pattern Analysis and Machine Intelligence. 45(4). 1–12. 2 indexed citations
2.
Waechter, Michael, et al.. (2020). Light Structure from Pin Motion: Geometric Point Light Source Calibration. International Journal of Computer Vision. 128(7). 1889–1912. 9 indexed citations
3.
Waechter, Michael, et al.. (2020). Photometric Stereo via Discrete Hypothesis-and-Test Search. 2308–2316. 11 indexed citations
4.
Waechter, Michael, et al.. (2020). Stereoscopic Flash and No-Flash Photography for Shape and Albedo Recovery. 33. 3427–3436. 4 indexed citations
5.
Waechter, Michael, et al.. (2017). Virtual Rephotography. ACM Transactions on Graphics. 36(4). 1–1. 15 indexed citations
6.
Waechter, Michael, et al.. (2017). Virtual Rephotography. ACM Transactions on Graphics. 36(1). 1–11. 24 indexed citations
7.
Waechter, Michael, et al.. (2016). A fast, massively parallel solver for large, irregular pairwise Markov random fields. 173–183. 4 indexed citations
8.
Weber, Nicolas, et al.. (2016). Rapid, detail-preserving image downscaling. ACM Transactions on Graphics. 35(6). 1–6. 41 indexed citations
9.
Fuhrmann, Simon, Fabian Langguth, Nils Moehrle, Michael Waechter, & Michael Goesele. (2015). MVE—An image-based reconstruction environment. Computers & Graphics. 53. 44–53. 70 indexed citations
10.
Waechter, Michael, et al.. (2013). Using graphics processing units to investigate molecular coevolution. Concurrency and Computation Practice and Experience. 26(6). 1278–1296. 6 indexed citations
11.
Waechter, Michael, et al.. (2012). Information-theoretic analysis of molecular (co)evolution using graphics processing units. 49–58. 5 indexed citations
12.
Wright, Daniel B., Kamala London, & Michael Waechter. (2009). Social anxiety moderates memory conformity in adolescents. Applied Cognitive Psychology. 24(7). 1034–1045. 61 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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