Danica Kragić

235 papers and 6.8k indexed citations i.

About

Danica Kragić is a scholar working on Control and Systems Engineering, Computer Vision and Pattern Recognition and Artificial Intelligence. According to data from OpenAlex, Danica Kragić has authored 235 papers receiving a total of 6.8k indexed citations (citations by other indexed papers that have themselves been cited), including 150 papers in Control and Systems Engineering, 110 papers in Computer Vision and Pattern Recognition and 56 papers in Artificial Intelligence. Recurrent topics in Danica Kragić’s work include Robot Manipulation and Learning (134 papers), Robotics and Sensor-Based Localization (54 papers) and Reinforcement Learning in Robotics (36 papers). Danica Kragić is often cited by papers focused on Robot Manipulation and Learning (134 papers), Robotics and Sensor-Based Localization (54 papers) and Reinforcement Learning in Robotics (36 papers). Danica Kragić collaborates with scholars based in Sweden, United States and Germany. Danica Kragić's co-authors include Aude Billard, Jeannette Bohg, Javier Romero, Mårten Björkman, Hedvig Kjellström, Henrik I. Christensen, Staffan Ekvall, Thomas Feix, Aaron M. Dollar and Heinz‐Bodo Schmiedmayer and has published in prestigious journals such as Science, Nature Communications and The International Journal of Robotics Research.

In The Last Decade

Co-authorship network of co-authors of Danica Kragić i

Fields of papers citing papers by Danica Kragić

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Danica Kragić

Since Specialization
Citations

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