Helena Moniz

39 papers receiving 204 citations

Peers

Helena Moniz
Comparison fields: 5 of 36
  • Artificial Intelligence 181
  • Experimental and Cognitive Psychology 111
  • Language and Linguistics 43
  • Signal Processing 37
  • Linguistics and Language 23
Replace Richard Winski with:
Richard Winski Türkiye
Rodolfo Delmonte Italy
Jane Chandlee United States
Jason Riggle United States
Bogdan Ludusan Germany
Claire Pillot-Loiseau France
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Wojciech Majewski Poland
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Citations per field
00.5×6.3×
Richard Winski · 1×
Citations per year

Countries citing papers authored by Helena Moniz

Since Specialization
Citations

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

Fields of papers citing papers by Helena Moniz

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Helena Moniz

This figure shows the co-authorship network connecting the top 25 collaborators of Helena Moniz. A scholar is included among the top collaborators of Helena Moniz 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 Helena Moniz. Helena Moniz 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
#WorkIndexed citations
1 9
2 4
3 0
4 1
5
Ethics Recommendations for Crisis Translation Settings
2
6 1
7
SPA: Web-based Platform for easy Access to Speech Processing Modules
1
8
The SpeDial datasets: datasets for Spoken Dialogue Systems analytics
2
9
Prosodic Classification of Discourse Markers
5
10
Prosodic, syntactic, semantic guidelines for topic structures across domains and corpora
2
11
Teenage and adult speech in school context: building and processing a corpus of European Portuguese
3
12
Revising the annotation of a Broadcast News corpus: a linguistic approach
2
13
OpenLogos Semantico-Syntactic Knowledge-Rich Bilingual Dictionaries
4
14 17
15 5
16 6
17 7
18 7
19
How can you use disfluencies and still sound as a good speaker
4
20
The LECTRA Corpus - Classroom Lecture Transcriptions in European Portuguese
16

About Helena Moniz

Helena Moniz is a scholar working on Experimental and Cognitive Psychology, Artificial Intelligence and Language and Linguistics, having authored 43 papers that have together received 251 indexed citations. Recurring topics across this work include Speech and dialogue systems (20 papers), Natural Language Processing Techniques (16 papers) and Phonetics and Phonology Research (15 papers). The work is most often cited by research in Experimental and Cognitive Psychology (111 citations), Artificial Intelligence (181 citations) and Linguistics and Language (23 citations). Helena Moniz has collaborated with scholars based in Portugal, United States and Ireland. Frequent co-authors include Isabel Trancoso, Fernando Batista, Nuno Mamede, João Paulo Carvalho, Alberto Abad, Rui C. Martins, Luí­s Neves, Diamantino Caseiro, Martti Vainio and Mariapaola D’Imperio. Their work appears in journals such as Artificial Intelligence Review, IEEE Transactions on Audio Speech and Language Processing and Speech Communication.

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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