Alvaro Herrasti

7 papers and 139 indexed citations i.

About

Alvaro Herrasti is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Control and Systems Engineering. According to data from OpenAlex, Alvaro Herrasti has authored 7 papers receiving a total of 139 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 2 papers in Control and Systems Engineering. Recurrent topics in Alvaro Herrasti’s work include Multimodal Machine Learning Applications (4 papers), Human Pose and Action Recognition (4 papers) and Topic Modeling (2 papers). Alvaro Herrasti is often cited by papers focused on Multimodal Machine Learning Applications (4 papers), Human Pose and Action Recognition (4 papers) and Topic Modeling (2 papers). Alvaro Herrasti collaborates with scholars based in United States. Alvaro Herrasti's co-authors include Aniruddha Kembhavi, Winson Han, Luca Weihs, Eric Kolve, Roozbeh Mottaghi, Eli VanderBilt, Dustin Schwenk, Ali Farhadi, 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 Alvaro Herrasti i

Fields of papers citing papers by Alvaro Herrasti

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Alvaro Herrasti

Since Specialization
Citations

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