Michael Gleicher

137 papers and 4.9k indexed citations i.

About

Michael Gleicher is a scholar working on Computer Vision and Pattern Recognition, Control and Systems Engineering and Artificial Intelligence. According to data from OpenAlex, Michael Gleicher has authored 137 papers receiving a total of 4.9k indexed citations (citations by other indexed papers that have themselves been cited), including 93 papers in Computer Vision and Pattern Recognition, 42 papers in Control and Systems Engineering and 20 papers in Artificial Intelligence. Recurrent topics in Michael Gleicher’s work include Data Visualization and Analytics (33 papers), Human Motion and Animation (33 papers) and Video Analysis and Summarization (27 papers). Michael Gleicher is often cited by papers focused on Data Visualization and Analytics (33 papers), Human Motion and Animation (33 papers) and Video Analysis and Summarization (27 papers). Michael Gleicher collaborates with scholars based in United States, China and France. Michael Gleicher's co-authors include Lucas Kovar, Alex Mohr, Aseem Agarwala, Hailin Jin, Michael Correll, Frédéric Pighin, Danielle Albers, Feng Liu, Feng Liu and Feng Liu and has published in prestigious journals such as Nucleic Acids Research, Bioinformatics and PLoS ONE.

In The Last Decade

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

Fields of papers citing papers by Michael Gleicher

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Michael Gleicher

Since Specialization
Citations

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