Heike Hofmann

124 papers and 5.1k indexed citations i.

About

Heike Hofmann is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Statistics and Probability. According to data from OpenAlex, Heike Hofmann has authored 124 papers receiving a total of 5.1k indexed citations (citations by other indexed papers that have themselves been cited), including 38 papers in Computer Vision and Pattern Recognition, 35 papers in Artificial Intelligence and 23 papers in Statistics and Probability. Recurrent topics in Heike Hofmann’s work include Data Visualization and Analytics (34 papers), Data Analysis with R (26 papers) and SARS-CoV-2 and COVID-19 Research (12 papers). Heike Hofmann is often cited by papers focused on Data Visualization and Analytics (34 papers), Data Analysis with R (26 papers) and SARS-CoV-2 and COVID-19 Research (12 papers). Heike Hofmann collaborates with scholars based in United States, Germany and Australia. Heike Hofmann's co-authors include Stefan Pöhlmann, Martina Geier, Hadley Wickham, Dianne Cook, Thomas Gramberg, Thomas Stamminger, Andrea Marzi, Ben Berkhout, Krzysztof Pyrć and Lia van der Hoek and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Journal of the American Statistical Association and PLoS ONE.

In The Last Decade

Co-authorship network of co-authors of Heike Hofmann i

Fields of papers citing papers by Heike Hofmann

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Heike Hofmann

Since Specialization
Citations

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