Daniela Oelke

21 papers and 426 indexed citations i.

About

Daniela Oelke is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Statistical and Nonlinear Physics. According to data from OpenAlex, Daniela Oelke has authored 21 papers receiving a total of 426 indexed citations (citations by other indexed papers that have themselves been cited), including 16 papers in Artificial Intelligence, 13 papers in Computer Vision and Pattern Recognition and 4 papers in Statistical and Nonlinear Physics. Recurrent topics in Daniela Oelke’s work include Data Visualization and Analytics (12 papers), Advanced Text Analysis Techniques (7 papers) and Complex Network Analysis Techniques (4 papers). Daniela Oelke is often cited by papers focused on Data Visualization and Analytics (12 papers), Advanced Text Analysis Techniques (7 papers) and Complex Network Analysis Techniques (4 papers). Daniela Oelke collaborates with scholars based in Germany, United States and Austria. Daniela Oelke's co-authors include Daniel A. Keim, Christian Rohrdantz, Hendrik Strobelt, Mennatallah El‐Assady, Udo Schlegel, Andreas Stoffel, Oliver Deußen, Halldór Janetzko, Umeshwar Dayal and Ming Hao and has published in prestigious journals such as IEEE Transactions on Visualization and Computer Graphics, Computer Graphics Forum and IEEE Computer Graphics and Applications.

In The Last Decade

Co-authorship network of co-authors of Daniela Oelke i

Fields of papers citing papers by Daniela Oelke

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Daniela Oelke

Since Specialization
Citations

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