Eric Kolve

About

Eric Kolve is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Aerospace Engineering. According to data from OpenAlex, Eric Kolve has authored 5 papers receiving a total of 162 indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Artificial Intelligence, 4 papers in Computer Vision and Pattern Recognition and 2 papers in Aerospace Engineering. Recurrent topics in Eric Kolve’s work include Multimodal Machine Learning Applications (3 papers), Reinforcement Learning in Robotics (3 papers) and Human Pose and Action Recognition (3 papers). Eric Kolve is often cited by papers focused on Multimodal Machine Learning Applications (3 papers), Reinforcement Learning in Robotics (3 papers) and Human Pose and Action Recognition (3 papers). Eric Kolve collaborates with scholars based in United States. Eric Kolve's co-authors include Aniruddha Kembhavi, Luca Weihs, Winson Han, Roozbeh Mottaghi, Alvaro Herrasti, Eli VanderBilt, Ali Farhadi, Dustin Schwenk, Matt Deitke and Mark Yatskar and has published in prestigious journals such as 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), International Conference on Learning Representations and Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing.

In The Last Decade

Co-authorship network of co-authors of Eric Kolve i

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Fields of papers citing papers by Eric Kolve

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Eric Kolve

Since Specialization

Citations

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