Daniel A. Keim

371 papers and 10.1k indexed citations i.

About

Daniel A. Keim is a scholar working on Computer Vision and Pattern Recognition, Signal Processing and Artificial Intelligence. According to data from OpenAlex, Daniel A. Keim has authored 371 papers receiving a total of 10.1k indexed citations (citations by other indexed papers that have themselves been cited), including 298 papers in Computer Vision and Pattern Recognition, 132 papers in Signal Processing and 114 papers in Artificial Intelligence. Recurrent topics in Daniel A. Keim’s work include Data Visualization and Analytics (254 papers), Data Management and Algorithms (82 papers) and Video Analysis and Summarization (61 papers). Daniel A. Keim is often cited by papers focused on Data Visualization and Analytics (254 papers), Data Management and Algorithms (82 papers) and Video Analysis and Summarization (61 papers). Daniel A. Keim collaborates with scholars based in Germany, United States and Austria. Daniel A. Keim's co-authors include Alexander Hinneburg, Stefan Berchtold, Tobias Schreck, H.-P. Kriegel, Christian Böhm, Gennady Andrienko, Natalia Andrienko, Florian Mansmann, Dominik Sacha and Stephen C. North and has published in prestigious journals such as The Science of The Total Environment, Communications of the ACM and The Journal of Pediatrics.

In The Last Decade

Co-authorship network of co-authors of Daniel A. Keim i

Fields of papers citing papers by Daniel A. Keim

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Daniel A. Keim

Since Specialization
Citations

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