Fabian Beck

41 papers and 672 indexed citations i.

About

Fabian Beck is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Statistical and Nonlinear Physics. According to data from OpenAlex, Fabian Beck has authored 41 papers receiving a total of 672 indexed citations (citations by other indexed papers that have themselves been cited), including 34 papers in Computer Vision and Pattern Recognition, 22 papers in Artificial Intelligence and 8 papers in Statistical and Nonlinear Physics. Recurrent topics in Fabian Beck’s work include Data Visualization and Analytics (32 papers), Advanced Text Analysis Techniques (12 papers) and Complex Network Analysis Techniques (7 papers). Fabian Beck is often cited by papers focused on Data Visualization and Analytics (32 papers), Advanced Text Analysis Techniques (12 papers) and Complex Network Analysis Techniques (7 papers). Fabian Beck collaborates with scholars based in Germany, United States and The Netherlands. Fabian Beck's co-authors include Daniel Weiskopf, Stephan Diehl, Michael Burch, Corinna Vehlow, Sebastian Koch, Thomas Ertl, Shivam Agarwal, Zheng Zhou, Nam Wook Kim and Yoon Kim and has published in prestigious journals such as IEEE Transactions on Visualization and Computer Graphics, Computer Graphics Forum and Journal of Electronic Materials.

In The Last Decade

Co-authorship network of co-authors of Fabian Beck i

Fields of papers citing papers by Fabian Beck

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Fabian Beck

Since Specialization
Citations

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