Karinne Ramirez-Amaro

25 papers and 366 indexed citations i.

About

Karinne Ramirez-Amaro is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Control and Systems Engineering. According to data from OpenAlex, Karinne Ramirez-Amaro has authored 25 papers receiving a total of 366 indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Computer Vision and Pattern Recognition, 11 papers in Artificial Intelligence and 8 papers in Control and Systems Engineering. Recurrent topics in Karinne Ramirez-Amaro’s work include Human Pose and Action Recognition (10 papers), Robot Manipulation and Learning (8 papers) and Multimodal Machine Learning Applications (5 papers). Karinne Ramirez-Amaro is often cited by papers focused on Human Pose and Action Recognition (10 papers), Robot Manipulation and Learning (8 papers) and Multimodal Machine Learning Applications (5 papers). Karinne Ramirez-Amaro collaborates with scholars based in Germany, Sweden and Japan. Karinne Ramirez-Amaro's co-authors include Gordon Cheng, Michael Beetz, Emmanuel Dean-León, Florian Bergner, Tetsunari Inamura, Agnieszka Wykowska, Yasuo Kuniyoshi, Yezhou Yang, Pablo Lanillos and Chris Paxton and has published in prestigious journals such as Artificial Intelligence, IEEE Transactions on Industrial Informatics and Science Robotics.

In The Last Decade

Co-authorship network of co-authors of Karinne Ramirez-Amaro i

Fields of papers citing papers by Karinne Ramirez-Amaro

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Karinne Ramirez-Amaro. 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 Karinne Ramirez-Amaro. The network helps show where Karinne Ramirez-Amaro may publish in the future.

Countries citing papers authored by Karinne Ramirez-Amaro

Since Specialization
Citations

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