Patrick Pletscher

472 total citations
8 papers, 125 citations indexed

About

Patrick Pletscher is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Computer Networks and Communications. According to data from OpenAlex, Patrick Pletscher has authored 8 papers receiving a total of 125 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Artificial Intelligence, 4 papers in Computer Vision and Pattern Recognition and 1 paper in Computer Networks and Communications. Recurrent topics in Patrick Pletscher's work include Advanced Image and Video Retrieval Techniques (3 papers), Machine Learning and Data Classification (3 papers) and Machine Learning and Algorithms (2 papers). Patrick Pletscher is often cited by papers focused on Advanced Image and Video Retrieval Techniques (3 papers), Machine Learning and Data Classification (3 papers) and Machine Learning and Algorithms (2 papers). Patrick Pletscher collaborates with scholars based in Switzerland, United States and France. Patrick Pletscher's co-authors include Pushmeet Kohli, Simon Lacoste-Julien, Isabelle Guyon, Martin Jaggi, Matthew Brand, M. Uhr, Mark Schmidt, Joachim M. Buhmann, Cheng Soon Ong and Mark Schmidt and has published in prestigious journals such as Pattern Recognition Letters, Infoscience (Ecole Polytechnique Fédérale de Lausanne) and arXiv (Cornell University).

In The Last Decade

Patrick Pletscher

7 papers receiving 112 citations

Peers

Patrick Pletscher
Nicolas Flammarion United States
Hadi Daneshmand Switzerland
Junier B. Oliva United States
Xiyu Zhai United States
Zachary Nado United States
Nicolas Flammarion United States
Patrick Pletscher
Citations per year, relative to Patrick Pletscher Patrick Pletscher (= 1×) peers Nicolas Flammarion

Countries citing papers authored by Patrick Pletscher

Since Specialization
Citations

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

Fields of papers citing papers by Patrick Pletscher

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Patrick Pletscher

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

All Works

8 of 8 papers shown
1.
Lacoste-Julien, Simon, Martin Jaggi, Mark Schmidt, & Patrick Pletscher. (2013). Block-Coordinate Frank-Wolfe Optimization for Structural SVMs. Infoscience (Ecole Polytechnique Fédérale de Lausanne). 24 indexed citations
2.
Pletscher, Patrick & Pushmeet Kohli. (2012). Learning Low-order Models for Enforcing High-order Statistics. International Conference on Artificial Intelligence and Statistics. 886–894. 17 indexed citations
3.
Lacoste-Julien, Simon, Martin Jaggi, Mark Schmidt, & Patrick Pletscher. (2012). Stochastic Block-Coordinate Frank-Wolfe Optimization for Structural SVMs. arXiv (Cornell University). 9 indexed citations
4.
Pletscher, Patrick & Cheng Soon Ong. (2012). Part & Clamp: Efficient Structured Output Learning.. International Conference on Artificial Intelligence and Statistics. 877–885. 1 indexed citations
5.
Pletscher, Patrick, et al.. (2012). LPQP for MAP: Putting LP Solvers to Better Use. arXiv (Cornell University). 699–706. 2 indexed citations
6.
Pletscher, Patrick, Cheng Soon Ong, & Joachim M. Buhmann. (2009). Spanning Tree Approximations for Conditional Random Fields. 408–415. 11 indexed citations
7.
Brand, Matthew & Patrick Pletscher. (2008). A conditional random field for automatic photo editing. 5. 1–7. 15 indexed citations
8.
Guyon, Isabelle, et al.. (2007). Competitive baseline methods set new standards for the NIPS 2003 feature selection benchmark. Pattern Recognition Letters. 28(12). 1438–1444. 46 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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