Sainbayar Sukhbaatar

15 papers and 916 indexed citations i.

About

Sainbayar Sukhbaatar is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Civil and Structural Engineering. According to data from OpenAlex, Sainbayar Sukhbaatar has authored 15 papers receiving a total of 916 indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Artificial Intelligence, 6 papers in Computer Vision and Pattern Recognition and 2 papers in Civil and Structural Engineering. Recurrent topics in Sainbayar Sukhbaatar’s work include Natural Language Processing Techniques (4 papers), Topic Modeling (4 papers) and Reinforcement Learning in Robotics (4 papers). Sainbayar Sukhbaatar is often cited by papers focused on Natural Language Processing Techniques (4 papers), Topic Modeling (4 papers) and Reinforcement Learning in Robotics (4 papers). Sainbayar Sukhbaatar collaborates with scholars based in United States, Israel and Japan. Sainbayar Sukhbaatar's co-authors include Rob Fergus, Arthur Szlam, Jason Weston, Piotr Bojanowski, Édouard Grave, Armand Joulin, Ilya Kostrikov, Tushar Jain, Gabriel Synnaeve and Amanpreet Singh and has published in prestigious journals such as Repository for Publications and Research Data (ETH Zurich), arXiv (Cornell University) and International Conference on Machine Learning.

In The Last Decade

Co-authorship network of co-authors of Sainbayar Sukhbaatar i

Fields of papers citing papers by Sainbayar Sukhbaatar

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Sainbayar Sukhbaatar

Since Specialization
Citations

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