Iván Meza

40 papers and 428 indexed citations i.

About

Iván Meza is a scholar working on Artificial Intelligence, Signal Processing and Computer Vision and Pattern Recognition. According to data from OpenAlex, Iván Meza has authored 40 papers receiving a total of 428 indexed citations (citations by other indexed papers that have themselves been cited), including 27 papers in Artificial Intelligence, 7 papers in Signal Processing and 4 papers in Computer Vision and Pattern Recognition. Recurrent topics in Iván Meza’s work include Natural Language Processing Techniques (19 papers), Topic Modeling (15 papers) and Speech and dialogue systems (6 papers). Iván Meza is often cited by papers focused on Natural Language Processing Techniques (19 papers), Topic Modeling (15 papers) and Speech and dialogue systems (6 papers). Iván Meza collaborates with scholars based in Mexico, United Kingdom and Uruguay. Iván Meza's co-authors include Caleb Rascón, Sebastian Riedel, Luis A. Pineda, Manuel Mager, Katharina Kann, Hinrich Schütze, Gerardo Sierra, Oliver Lemon, Angela Fan and Luis Chiruzzo and has published in prestigious journals such as The Journal of the Acoustical Society of America, Expert Systems with Applications and Neural Computing and Applications.

In The Last Decade

Co-authorship network of co-authors of Iván Meza i

Fields of papers citing papers by Iván Meza

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Iván Meza

Since Specialization
Citations

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