Sai Vemprala

About

Sai Vemprala is a scholar working on Computer Vision and Pattern Recognition, Aerospace Engineering and Artificial Intelligence. According to data from OpenAlex, Sai Vemprala has authored 16 papers receiving a total of 224 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Computer Vision and Pattern Recognition, 7 papers in Aerospace Engineering and 5 papers in Artificial Intelligence. Recurrent topics in Sai Vemprala’s work include Robotics and Sensor-Based Localization (7 papers), Robotic Path Planning Algorithms (4 papers) and Multimodal Machine Learning Applications (3 papers). Sai Vemprala is often cited by papers focused on Robotics and Sensor-Based Localization (7 papers), Robotic Path Planning Algorithms (4 papers) and Multimodal Machine Learning Applications (3 papers). Sai Vemprala collaborates with scholars based in United States, United Kingdom and Spain. Sai Vemprala's co-authors include Ashish Kapoor, Rogerio Bonatti, Srikanth Saripalli, Adrián Carrio, Pascual Campoy, Jonathan P. How, Jesus Tordesillas, Shuang Ma, Luis Figueredo and Sami Haddadin and has published in prestigious journals such as IEEE Access, Underwater Technology The International Journal of the Society for Underwater and 2021 IEEE/CVF International Conference on Computer Vision (ICCV).

In The Last Decade

Co-authorship network of co-authors of Sai Vemprala i

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Fields of papers citing papers by Sai Vemprala

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Sai Vemprala

Since Specialization

Citations

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