Maximilian Jaritz

About

Maximilian Jaritz is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Aerospace Engineering. According to data from OpenAlex, Maximilian Jaritz has authored 4 papers receiving a total of 312 indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Computer Vision and Pattern Recognition, 2 papers in Artificial Intelligence and 1 paper in Aerospace Engineering. Recurrent topics in Maximilian Jaritz’s work include Domain Adaptation and Few-Shot Learning (2 papers), Multimodal Machine Learning Applications (2 papers) and Optical measurement and interference techniques (2 papers). Maximilian Jaritz is often cited by papers focused on Domain Adaptation and Few-Shot Learning (2 papers), Multimodal Machine Learning Applications (2 papers) and Optical measurement and interference techniques (2 papers). Maximilian Jaritz collaborates with scholars based in France and United States. Maximilian Jaritz's co-authors include Émilie Wirbel, Raoul de Charette, Xavier Perrotton, Fawzi Nashashibi, Tuan-Hung Vu and Patrick Pérez and has published in prestigious journals such as IEEE Transactions on Pattern Analysis and Machine Intelligence, 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) and arXiv (Cornell University).

In The Last Decade

Co-authorship network of co-authors of Maximilian Jaritz i

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Fields of papers citing papers by Maximilian Jaritz

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Maximilian Jaritz

Since Specialization

Citations

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

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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