João P. Neto

40 papers and 436 indexed citations i.

About

João P. Neto is a scholar working on Artificial Intelligence, Signal Processing and Computer Vision and Pattern Recognition. According to data from OpenAlex, João P. Neto has authored 40 papers receiving a total of 436 indexed citations (citations by other indexed papers that have themselves been cited), including 33 papers in Artificial Intelligence, 20 papers in Signal Processing and 10 papers in Computer Vision and Pattern Recognition. Recurrent topics in João P. Neto’s work include Speech Recognition and Synthesis (23 papers), Speech and Audio Processing (20 papers) and Natural Language Processing Techniques (9 papers). João P. Neto is often cited by papers focused on Speech Recognition and Synthesis (23 papers), Speech and Audio Processing (20 papers) and Natural Language Processing Techniques (9 papers). João P. Neto collaborates with scholars based in Portugal, United States and Switzerland. João P. Neto's co-authors include Hugo Meinedo, Ciro Martins, Luı́s B. Almeida, Steve Renals, Tony Robinson, Luís Nunes, Alberto Abad, Luís Marujo, M.M. Hochberg and Isabel Trancoso and has published in prestigious journals such as Knowledge-Based Systems, Knowledge and Information Systems and Language Resources and Evaluation.

In The Last Decade

Co-authorship network of co-authors of João P. Neto i

Fields of papers citing papers by João P. Neto

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by João P. Neto. 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 João P. Neto. The network helps show where João P. Neto may publish in the future.

Countries citing papers authored by João P. Neto

Since Specialization
Citations

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

Explore authors with similar magnitude of impact

Rankless by CCL
2025