Matthias Heiler

466 total citations
7 papers, 267 citations indexed

About

Matthias Heiler is a scholar working on Computer Vision and Pattern Recognition, Computational Mechanics and Media Technology. According to data from OpenAlex, Matthias Heiler has authored 7 papers receiving a total of 267 indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Computer Vision and Pattern Recognition, 2 papers in Computational Mechanics and 2 papers in Media Technology. Recurrent topics in Matthias Heiler's work include Sparse and Compressive Sensing Techniques (2 papers), Advanced Image and Video Retrieval Techniques (2 papers) and Face and Expression Recognition (2 papers). Matthias Heiler is often cited by papers focused on Sparse and Compressive Sensing Techniques (2 papers), Advanced Image and Video Retrieval Techniques (2 papers) and Face and Expression Recognition (2 papers). Matthias Heiler collaborates with scholars based in Germany. Matthias Heiler's co-authors include Christoph Schnörr, Jens Keuchel, Alexander Siegmund, Alessandro Cestaro, Eckart Bindewald, Jürgen Hesser, Silvio C. E. Tosatto, Daniel Cremers and Burkhardt Funk and has published in prestigious journals such as Remote Sensing of Environment, International Journal of Computer Vision and Journal of Machine Learning Research.

In The Last Decade

Matthias Heiler

7 papers receiving 248 citations

Peers

Matthias Heiler

CVPR

ECOLO

MT

GPC

AS

K. L. Majumder India

Georges Stamon France

Qin Dai China

Estíbaliz Martínez Spain

Kwok-Ping Chan Hong Kong

Mingjie Qian China

Pai‐Hui Hsu Taiwan

N. Khazenie United States

Shankar Mali India

Markus Peura Finland

K. L. Majumder India

Matthias Heiler

78 ×1.0

CVPR

97 ×1.3

ECOLO

152 ×2.1

MT

52 ×1.0

GPC

62 ×1.3

AS

Citations per year, relative to Matthias Heiler Matthias Heiler (= 1×) peers K. L. Majumder

Countries citing papers authored by Matthias Heiler

Since Specialization

Citations

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

Fields of papers citing papers by Matthias Heiler

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Matthias Heiler

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

All Works

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7 of 7 papers shown

1.

Heiler, Matthias & Christoph Schnörr. (2006). Learning Sparse Representations by Non-Negative Matrix Factorization and Sequential Cone Programming. Journal of Machine Learning Research. 7(51). 1385–1407. 56 indexed citations

2.

Funk, Burkhardt, et al.. (2006). Entwicklerbuch SAP exchange infrastructure. Multilingual Matters (Channel View Publications). 4 indexed citations

3.

Heiler, Matthias & Christoph Schnörr. (2005). Learning non-negative sparse image codes by convex programming. 1667–1674 Vol. 2. 14 indexed citations

4.

Heiler, Matthias, et al.. (2005). Natural Image Statistics for Natural Image Segmentation. International Journal of Computer Vision. 63(1). 5–19. 33 indexed citations

5.

Bindewald, Eckart, Alessandro Cestaro, Jürgen Hesser, Matthias Heiler, & Silvio C. E. Tosatto. (2003). MANIFOLD: protein fold recognition based on secondary structure, sequence similarity and enzyme classification. Protein Engineering Design and Selection. 16(11). 785–789. 28 indexed citations

6.

Keuchel, Jens, et al.. (2003). Automatic land cover analysis for Tenerife by supervised classification using remotely sensed data. Remote Sensing of Environment. 86(4). 530–541. 127 indexed citations

7.

Heiler, Matthias, Daniel Cremers, & Christoph Schnörr. (2001). Efficient Feature Subset Selection for Support Vector Machines. 5 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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