João P. Neto

1.4k total citations
58 papers, 751 citations indexed

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 58 papers receiving a total of 751 indexed citations (citations by other indexed papers that have themselves been cited), including 43 papers in Artificial Intelligence, 28 papers in Signal Processing and 14 papers in Computer Vision and Pattern Recognition. Recurrent topics in João P. Neto's work include Speech Recognition and Synthesis (30 papers), Speech and Audio Processing (25 papers) and Speech and dialogue systems (14 papers). João P. Neto is often cited by papers focused on Speech Recognition and Synthesis (30 papers), Speech and Audio Processing (25 papers) and Speech and dialogue systems (14 papers). João P. Neto collaborates with scholars based in Portugal, United States and Belgium. João P. Neto's co-authors include Hugo Meinedo, Ciro Martins, Luı́s B. Almeida, Isabel Trancoso, Alberto Abad, Tony Robinson, Steve Renals, M.M. Hochberg, Luís Nunes and António Serralheiro and has published in prestigious journals such as Knowledge-Based Systems, Language Resources and Evaluation and Knowledge and Information Systems.

In The Last Decade

João P. Neto

56 papers receiving 670 citations

Peers

João P. Neto
Comparison fields: 5 of 62
  • Artificial Intelligence 600
  • Signal Processing 385
  • Computer Vision and Pattern Recognition 121
  • Experimental and Cognitive Psychology 47
  • Language and Linguistics 36
Replace John Dines with:
John Dines Switzerland
Yannick Estève France
Keiichiro Oura Japan
Toshiyuki Takezawa Japan
Sebastian Stüker Germany
Susanne Burger United States
Barbara Peskin United States
Juan Pino United States
Hank Liao United States
Katunobu Itou Japan
John Dines Switzerland View profile →
Citations per field, relative to João P. Neto
João P. Neto · 1×
Citations per year, relative to João P. Neto
João P. Neto · 1×

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).

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.

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

This figure shows the co-authorship network connecting the top 25 collaborators of João P. Neto. A scholar is included among the top collaborators of João P. Neto based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with João P. Neto. João P. Neto is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
# Work Indexed citations
1 38
2 35
3
SAVAS: Collecting, Annotating and Sharing Audiovisual Language Resources for Automatic Subtitling
6
4 5
5 4
6
Language Models in Automatic Speech Recognition
1
7 17
8 5
9 63
10 3
11 24
12 8
13 18
14
The COST278 Pan-European Broadcast News Database.
40
15 9
16 23
17 4
18 12
19 1
20 130

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
2026