Alexis Ross

7 papers and 176 indexed citations i.

About

Alexis Ross is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Information Systems. According to data from OpenAlex, Alexis Ross has authored 7 papers receiving a total of 176 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Artificial Intelligence, 1 paper in Computer Vision and Pattern Recognition and 1 paper in Information Systems. Recurrent topics in Alexis Ross’s work include Topic Modeling (6 papers), Natural Language Processing Techniques (4 papers) and Explainable Artificial Intelligence (XAI) (3 papers). Alexis Ross is often cited by papers focused on Topic Modeling (6 papers), Natural Language Processing Techniques (4 papers) and Explainable Artificial Intelligence (XAI) (3 papers). Alexis Ross collaborates with scholars based in United States and Portugal. Alexis Ross's co-authors include Matthew E. Peters, Ana Marasović, Matt Gardner, Jesse Dodge, Noah A. Smith, Sameer Singh, William Merrill, Najoung Kim, Tongshuang Wu and Hao Peng and has published in prestigious journals such as Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), arXiv (Cornell University) and Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing.

In The Last Decade

Co-authorship network of co-authors of Alexis Ross i

Fields of papers citing papers by Alexis Ross

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Alexis Ross

Since Specialization
Citations

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