Michael Grimm

About

Michael Grimm is a scholar working on Computer Vision and Pattern Recognition, Signal Processing and Astronomy and Astrophysics. According to data from OpenAlex, Michael Grimm has authored 14 papers receiving a total of 483 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Computer Vision and Pattern Recognition, 6 papers in Signal Processing and 4 papers in Astronomy and Astrophysics. Recurrent topics in Michael Grimm’s work include Face and Expression Recognition (5 papers), Speech and Audio Processing (4 papers) and Emotion and Mood Recognition (4 papers). Michael Grimm is often cited by papers focused on Face and Expression Recognition (5 papers), Speech and Audio Processing (4 papers) and Emotion and Mood Recognition (4 papers). Michael Grimm collaborates with scholars based in United States, Germany and Canada. Michael Grimm's co-authors include Shrikanth Narayanan, Kristian Kroschel, Emily Mower, Zhigang Deng, Carlos Busso, Sören Sonnenburg, Klaus‐Robert Müller, Sebastian Mika, Nikolaus Heinrich and Gunnar Rätsch and has published in prestigious journals such as Monthly Notices of the Royal Astronomical Society, Journal of Chemical Information and Modeling and Journal of Visualized Experiments.

In The Last Decade

Co-authorship network of co-authors of Michael Grimm i

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Fields of papers citing papers by Michael Grimm

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Michael Grimm

Since Specialization

Citations

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