Miguel Ballesteros

About

Miguel Ballesteros is a scholar working on Artificial Intelligence, Information Systems and Computer Vision and Pattern Recognition. According to data from OpenAlex, Miguel Ballesteros has authored 60 papers receiving a total of 3.5k indexed citations (citations by other indexed papers that have themselves been cited), including 59 papers in Artificial Intelligence, 10 papers in Information Systems and 7 papers in Computer Vision and Pattern Recognition. Recurrent topics in Miguel Ballesteros’s work include Natural Language Processing Techniques (54 papers), Topic Modeling (54 papers) and Text Readability and Simplification (8 papers). Miguel Ballesteros is often cited by papers focused on Natural Language Processing Techniques (54 papers), Topic Modeling (54 papers) and Text Readability and Simplification (8 papers). Miguel Ballesteros collaborates with scholars based in United States, Spain and United Kingdom. Miguel Ballesteros's co-authors include Chris Dyer, Kazuya Kawakami, Sandeep Subramanian, Guillaume Lample, Noah A. Smith, Adhiguna Kuncoro, Austin Matthews, Ling Wang, Joakim Nivre and Waleed Ammar and has published in prestigious journals such as Computational Linguistics, Language Resources and Evaluation and Transactions of the Association for Computational Linguistics.

In The Last Decade

Co-authorship network of co-authors of Miguel Ballesteros i

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Fields of papers citing papers by Miguel Ballesteros

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Miguel Ballesteros

Since Specialization

Citations

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