Janis Postels

About

Janis Postels is a scholar working on Computer Graphics and Computer-Aided Design, Artificial Intelligence and Computer Vision and Pattern Recognition. According to data from OpenAlex, Janis Postels has authored 5 papers receiving a total of 184 indexed citations (citations by other indexed papers that have themselves been cited), including 3 papers in Computer Graphics and Computer-Aided Design, 2 papers in Artificial Intelligence and 2 papers in Computer Vision and Pattern Recognition. Recurrent topics in Janis Postels’s work include Computer Graphics and Visualization Techniques (3 papers), 3D Shape Modeling and Analysis (2 papers) and 3D Surveying and Cultural Heritage (1 paper). Janis Postels is often cited by papers focused on Computer Graphics and Visualization Techniques (3 papers), 3D Shape Modeling and Analysis (2 papers) and 3D Surveying and Cultural Heritage (1 paper). Janis Postels collaborates with scholars based in United States, Switzerland and Germany. Janis Postels's co-authors include Federico Tombari, Nassir Navab, Francesco Ferroni, Huseyin Coskun, Luc Van Gool, Bernt Schiele, Tao Sun, Fisher Yu, Mattia Segù and Yuxuan Wang and has published in prestigious journals such as Computer Graphics Forum, 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) and 2021 IEEE/CVF International Conference on Computer Vision (ICCV).

In The Last Decade

Co-authorship network of co-authors of Janis Postels i

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Fields of papers citing papers by Janis Postels

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Janis Postels

Since Specialization

Citations

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