Rika Antonova

About

Rika Antonova is a scholar working on Control and Systems Engineering, Artificial Intelligence and Cognitive Neuroscience. According to data from OpenAlex, Rika Antonova has authored 13 papers receiving a total of 175 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Control and Systems Engineering, 7 papers in Artificial Intelligence and 3 papers in Cognitive Neuroscience. Recurrent topics in Rika Antonova’s work include Robot Manipulation and Learning (7 papers), Reinforcement Learning in Robotics (4 papers) and Multimodal Machine Learning Applications (2 papers). Rika Antonova is often cited by papers focused on Robot Manipulation and Learning (7 papers), Reinforcement Learning in Robotics (4 papers) and Multimodal Machine Learning Applications (2 papers). Rika Antonova collaborates with scholars based in United States, Sweden and Italy. Rika Antonova's co-authors include Jeannette Bohg, Akshara Rai, Jimmy Wu, Christopher G. Atkeson, Thomas Funkhouser, Szymon Rusinkiewicz, Shuran Song, Andy Zeng, Hartmut Geyer and Seungmoon Song and has published in prestigious journals such as Autonomous Robots, IEEE Robotics and Automation Letters and arXiv (Cornell University).

In The Last Decade

Co-authorship network of co-authors of Rika Antonova i

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Fields of papers citing papers by Rika Antonova

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Rika Antonova

Since Specialization

Citations

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