Daniel Mueller

About

Daniel Mueller is a scholar working on Computer Vision and Pattern Recognition, Education and Artificial Intelligence. According to data from OpenAlex, Daniel Mueller has authored 19 papers receiving a total of 122 indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Computer Vision and Pattern Recognition, 3 papers in Education and 2 papers in Artificial Intelligence. Recurrent topics in Daniel Mueller’s work include Medical Image Segmentation Techniques (3 papers), Online and Blended Learning (3 papers) and Online Learning and Analytics (2 papers). Daniel Mueller is often cited by papers focused on Medical Image Segmentation Techniques (3 papers), Online and Blended Learning (3 papers) and Online Learning and Analytics (2 papers). Daniel Mueller collaborates with scholars based in Germany, Australia and United States. Daniel Mueller's co-authors include Stefan Strohmeier, Anthony Maeder, Herman J. Benezet, Vera Krischik, Volker Zimmermann, John van der Kamp, Nadia Dominici, Kai Krabben, David L. Mann and Geert J.P. Savelsbergh and has published in prestigious journals such as Computers & Education, Journal of Sports Sciences and Limnology and Oceanography Methods.

In The Last Decade

Co-authorship network of co-authors of Daniel Mueller

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

Daniel Mueller

16 papers receiving 110 citations

Fields of papers citing papers by Daniel Mueller

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Daniel Mueller

Since Specialization

Citations

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