Karl Schmeckpeper

About

Karl Schmeckpeper is a scholar working on Computer Vision and Pattern Recognition, Aerospace Engineering and Control and Systems Engineering. According to data from OpenAlex, Karl Schmeckpeper has authored 10 papers receiving a total of 109 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Computer Vision and Pattern Recognition, 4 papers in Aerospace Engineering and 3 papers in Control and Systems Engineering. Recurrent topics in Karl Schmeckpeper’s work include Robotics and Sensor-Based Localization (4 papers), Multimodal Machine Learning Applications (3 papers) and Human Pose and Action Recognition (3 papers). Karl Schmeckpeper is often cited by papers focused on Robotics and Sensor-Based Localization (4 papers), Multimodal Machine Learning Applications (3 papers) and Human Pose and Action Recognition (3 papers). Karl Schmeckpeper collaborates with scholars based in United States, China and Germany. Karl Schmeckpeper's co-authors include Kostas Daniilidis, Georgios Georgakis, Monroe Kennedy, Dinesh Thakur, Chenfanfu Jiang, Vijay Kumar, Nikolai Matni, Dan Roth, Daniel E. Koditschek and Eleni Miltsakaki and has published in prestigious journals such as Current Biology, The International Journal of Robotics Research and IEEE Robotics and Automation Letters.

In The Last Decade

Co-authorship network of co-authors of Karl Schmeckpeper i

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Fields of papers citing papers by Karl Schmeckpeper

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Karl Schmeckpeper

Since Specialization

Citations

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