Amy Pavel

13 papers and 366 indexed citations i.

About

Amy Pavel is a scholar working on Computer Vision and Pattern Recognition, Cognitive Neuroscience and Artificial Intelligence. According to data from OpenAlex, Amy Pavel has authored 13 papers receiving a total of 366 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Computer Vision and Pattern Recognition, 4 papers in Cognitive Neuroscience and 3 papers in Artificial Intelligence. Recurrent topics in Amy Pavel’s work include Visual Attention and Saliency Detection (3 papers), Topic Modeling (3 papers) and Subtitles and Audiovisual Media (2 papers). Amy Pavel is often cited by papers focused on Visual Attention and Saliency Detection (3 papers), Topic Modeling (3 papers) and Subtitles and Audiovisual Media (2 papers). Amy Pavel collaborates with scholars based in United States, Switzerland and Portugal. Amy Pavel's co-authors include Maneesh Agrawala, Ana Serrano, Diego Gutiérrez, Vincent Sitzmann, Gordon Wetzstein, Belén Masiá, Jeffrey P. Bigham, Prakhar Gupta, Maxine Eskénazi and Tiancheng Zhao and has published in prestigious journals such as ACM Transactions on Graphics, IEEE Transactions on Visualization and Computer Graphics and eScholarship (California Digital Library).

In The Last Decade

Co-authorship network of co-authors of Amy Pavel i

Fields of papers citing papers by Amy Pavel

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Amy Pavel

Since Specialization
Citations

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