Dustin Schwenk

About

Dustin Schwenk is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Industrial relations. According to data from OpenAlex, Dustin Schwenk has authored 6 papers receiving a total of 254 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Computer Vision and Pattern Recognition, 4 papers in Artificial Intelligence and 0 papers in Industrial relations. Recurrent topics in Dustin Schwenk’s work include Multimodal Machine Learning Applications (4 papers), Human Pose and Action Recognition (4 papers) and Reinforcement Learning in Robotics (2 papers). Dustin Schwenk is often cited by papers focused on Multimodal Machine Learning Applications (4 papers), Human Pose and Action Recognition (4 papers) and Reinforcement Learning in Robotics (2 papers). Dustin Schwenk collaborates with scholars based in United States. Dustin Schwenk's co-authors include Aniruddha Kembhavi, Luca Weihs, Ali Farhadi, Matt Deitke, Eli VanderBilt, Jordi Salvador, Oscar Michel, Ludwig Schmidt, Jaemin Cho and Jiasen Lu and has published in prestigious journals such as 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), arXiv (Cornell University) and International Conference on Learning Representations.

In The Last Decade

Co-authorship network of co-authors of Dustin Schwenk i

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Fields of papers citing papers by Dustin Schwenk

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Dustin Schwenk

Since Specialization

Citations

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