Felipe Tobar

34 papers and 379 indexed citations i.

About

Felipe Tobar is a scholar working on Artificial Intelligence, Signal Processing and Computational Mechanics. According to data from OpenAlex, Felipe Tobar has authored 34 papers receiving a total of 379 indexed citations (citations by other indexed papers that have themselves been cited), including 16 papers in Artificial Intelligence, 13 papers in Signal Processing and 7 papers in Computational Mechanics. Recurrent topics in Felipe Tobar’s work include Gaussian Processes and Bayesian Inference (9 papers), Blind Source Separation Techniques (7 papers) and Advanced Adaptive Filtering Techniques (6 papers). Felipe Tobar is often cited by papers focused on Gaussian Processes and Bayesian Inference (9 papers), Blind Source Separation Techniques (7 papers) and Advanced Adaptive Filtering Techniques (6 papers). Felipe Tobar collaborates with scholars based in Chile, United Kingdom and United States. Felipe Tobar's co-authors include Danilo P. Mandic, Sun‐Yuan Kung, Bárbara Poblete, Richard E. Turner, Thang D. Bui, Petar M. Djurić, Jocelyn Dunstan, Thomas A. Glass, Claudia Nau and Marcos E. Orchard and has published in prestigious journals such as Monthly Notices of the Royal Astronomical Society, IEEE Transactions on Information Theory and IEEE Transactions on Signal Processing.

In The Last Decade

Co-authorship network of co-authors of Felipe Tobar i

Fields of papers citing papers by Felipe Tobar

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Felipe Tobar

Since Specialization
Citations

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