Anelia Angelova

49 papers and 2.6k indexed citations i.

About

Anelia Angelova is a scholar working on Computer Vision and Pattern Recognition, Aerospace Engineering and Artificial Intelligence. According to data from OpenAlex, Anelia Angelova has authored 49 papers receiving a total of 2.6k indexed citations (citations by other indexed papers that have themselves been cited), including 38 papers in Computer Vision and Pattern Recognition, 15 papers in Aerospace Engineering and 14 papers in Artificial Intelligence. Recurrent topics in Anelia Angelova’s work include Robotics and Sensor-Based Localization (14 papers), Advanced Vision and Imaging (12 papers) and Human Pose and Action Recognition (11 papers). Anelia Angelova is often cited by papers focused on Robotics and Sensor-Based Localization (14 papers), Advanced Vision and Imaging (12 papers) and Human Pose and Action Recognition (11 papers). Anelia Angelova collaborates with scholars based in United States, Germany and Australia. Anelia Angelova's co-authors include Joseph Redmon, Reza Mahjourian, Martin Wicke, Larry Matthies, Vincent Casser, Daniel Helmick, Sören Pirk, Rico Jonschkowski, Pietro Perona and AJ Piergiovanni and has published in prestigious journals such as Journal of Geophysical Research Atmospheres, International Journal of Computer Vision and Journal of Machine Learning Research.

In The Last Decade

Co-authorship network of co-authors of Anelia Angelova i

Fields of papers citing papers by Anelia Angelova

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Anelia Angelova

Since Specialization
Citations

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