Connor Schenck

8 papers and 192 indexed citations i.

About

Connor Schenck is a scholar working on Computer Vision and Pattern Recognition, Control and Systems Engineering and Artificial Intelligence. According to data from OpenAlex, Connor Schenck has authored 8 papers receiving a total of 192 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Computer Vision and Pattern Recognition, 5 papers in Control and Systems Engineering and 3 papers in Artificial Intelligence. Recurrent topics in Connor Schenck’s work include Robot Manipulation and Learning (5 papers), Advanced Image and Video Retrieval Techniques (4 papers) and Domain Adaptation and Few-Shot Learning (2 papers). Connor Schenck is often cited by papers focused on Robot Manipulation and Learning (5 papers), Advanced Image and Video Retrieval Techniques (4 papers) and Domain Adaptation and Few-Shot Learning (2 papers). Connor Schenck collaborates with scholars based in United States. Connor Schenck's co-authors include Dieter Fox, Alexander Stoytchev, Jivko Sinapov, Roozbeh Mottaghi, Ali Farhadi, Shane Griffith and D. C. Johnston and has published in prestigious journals such as The International Journal of Robotics Research, Robotics and Autonomous Systems and Cybernetics and Information Technologies.

In The Last Decade

Co-authorship network of co-authors of Connor Schenck i

Fields of papers citing papers by Connor Schenck

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Connor Schenck

Since Specialization
Citations

This map shows the geographic impact of Connor Schenck'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 Connor Schenck with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Connor Schenck 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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2025