Anirudh Vemula

About

Anirudh Vemula is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Aerospace Engineering. According to data from OpenAlex, Anirudh Vemula has authored 11 papers receiving a total of 458 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Computer Vision and Pattern Recognition, 6 papers in Artificial Intelligence and 3 papers in Aerospace Engineering. Recurrent topics in Anirudh Vemula’s work include Robotic Path Planning Algorithms (6 papers), Robotics and Sensor-Based Localization (3 papers) and Robot Manipulation and Learning (3 papers). Anirudh Vemula is often cited by papers focused on Robotic Path Planning Algorithms (6 papers), Robotics and Sensor-Based Localization (3 papers) and Robot Manipulation and Learning (3 papers). Anirudh Vemula collaborates with scholars based in United States, India and Israel. Anirudh Vemula's co-authors include Jean Oh, Katharina Muelling, J. Andrew Bagnell, Maxim Likhachev, Wen Sun, Byron Boots, Drew Bagnell, Oren Salzman, Sung-Kyun Kim and Fahad Islam and has published in prestigious journals such as arXiv (Cornell University), International Conference on Machine Learning and 2022 International Conference on Robotics and Automation (ICRA).

In The Last Decade

Co-authorship network of co-authors of Anirudh Vemula i

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Fields of papers citing papers by Anirudh Vemula

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Anirudh Vemula

Since Specialization

Citations

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