Massimo Moneglia

607 total citations
39 papers, 244 citations indexed

About

Massimo Moneglia is a scholar working on Artificial Intelligence, Language and Linguistics and Experimental and Cognitive Psychology. According to data from OpenAlex, Massimo Moneglia has authored 39 papers receiving a total of 244 indexed citations (citations by other indexed papers that have themselves been cited), including 35 papers in Artificial Intelligence, 15 papers in Language and Linguistics and 9 papers in Experimental and Cognitive Psychology. Recurrent topics in Massimo Moneglia's work include Linguistic Studies and Language Acquisition (21 papers), Natural Language Processing Techniques (16 papers) and Spanish Linguistics and Language Studies (11 papers). Massimo Moneglia is often cited by papers focused on Linguistic Studies and Language Acquisition (21 papers), Natural Language Processing Techniques (16 papers) and Spanish Linguistics and Language Studies (11 papers). Massimo Moneglia collaborates with scholars based in Italy, Netherlands and France. Massimo Moneglia's co-authors include Emanuela Cresti, Marco Fabbri, Gloria Gagliardi, Monica Monachini, Francesca Frontini, Irene Russo, Jean Véronis, Philippe Martin, Morena Danieli and A. Cid and has published in prestigious journals such as Frontiers in Psychology, Language Resources and Evaluation and Frontiers in Communication.

In The Last Decade

Massimo Moneglia

28 papers receiving 163 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Massimo Moneglia Italy 8 178 130 87 25 22 39 244
Jae-Woong Choe United States 6 176 1.0× 84 0.6× 39 0.4× 10 0.4× 11 0.5× 21 235
Heike Zinsmeister Germany 10 226 1.3× 143 1.1× 27 0.3× 9 0.4× 34 1.5× 47 319
Laurence Danlos France 10 294 1.7× 128 1.0× 32 0.4× 71 2.8× 15 0.7× 63 376
Mike Maxwell United States 5 125 0.7× 129 1.0× 82 0.9× 10 0.4× 53 2.4× 10 218
Magdalena Romera Spain 6 141 0.8× 72 0.6× 58 0.7× 17 0.7× 28 1.3× 12 226
Pius ten Hacken Austria 10 132 0.7× 181 1.4× 18 0.2× 13 0.5× 33 1.5× 58 267
Raúl Aranovich United States 6 110 0.6× 177 1.4× 42 0.5× 28 1.1× 56 2.5× 21 250
Kersti Börjars United Kingdom 11 112 0.6× 237 1.8× 76 0.9× 22 0.9× 106 4.8× 42 281
Masatake Dantsuji Japan 10 229 1.3× 26 0.2× 141 1.6× 6 0.2× 25 1.1× 36 294
Matthijs Westera Netherlands 7 70 0.4× 73 0.6× 43 0.5× 22 0.9× 9 0.4× 21 155

Countries citing papers authored by Massimo Moneglia

Since Specialization
Citations

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

Fields of papers citing papers by Massimo Moneglia

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Massimo Moneglia

This figure shows the co-authorship network connecting the top 25 collaborators of Massimo Moneglia. A scholar is included among the top collaborators of Massimo Moneglia 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 Massimo Moneglia. Massimo Moneglia 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
1.
Moneglia, Massimo, et al.. (2025). Prosodic synchrony and the semantic affiliation of gestures in the multimodal utterance. 14. e025011–e025011.
2.
Moneglia, Massimo, et al.. (2023). Markers of schizophrenia at the prosody/pragmatics interface. Evidence from corpora of spontaneous speech interactions. Frontiers in Psychology. 14. 1233176–1233176. 1 indexed citations
3.
Cresti, Emanuela & Massimo Moneglia. (2019). The Discourse Connector according to the Language into Act Theory: data from IPIC Italian. Florence Research (University of Florence). 99–126. 1 indexed citations
4.
Cresti, Emanuela & Massimo Moneglia. (2018). The definition of the TOPIC within Language into Act Theory and its identification in spontaneous speech corpora. Revue Romane Langue et littérature International Journal of Romance Languages and Literatures. 53(1). 30–62. 3 indexed citations
5.
6.
Moneglia, Massimo, et al.. (2014). The IMAGACT Visual Ontology. An Extendable Multilingual Infrastructure for the representation of lexical encoding of Action. Language Resources and Evaluation. 3425–3432. 7 indexed citations
7.
Moneglia, Massimo, et al.. (2013). IMAGACT E-learning Platform for Basic Action Types. Archivio istituzionale della ricerca (Alma Mater Studiorum Università di Bologna). 85–90. 2 indexed citations
8.
Moneglia, Massimo, et al.. (2012). IMAGACT: Deriving an Action Ontology from Spoken Corpora. Archivio istituzionale della ricerca (Alma Mater Studiorum Università di Bologna). 42–47. 6 indexed citations
9.
Fabbri, Marco, et al.. (2012). RIDIRE-CPI: an Open Source Crawling and Processing Infrastructure for Supervised Web-Corpora Building. Language Resources and Evaluation. 2274–2279. 1 indexed citations
10.
Moneglia, Massimo, et al.. (2012). The IMAGACT Cross-linguistic Ontology of Action. A new infrastructure for natural language disambiguation. Language Resources and Evaluation. 2606–2613. 6 indexed citations
11.
Moneglia, Massimo. (2011). Spoken corpora and pragmatics. Revista Brasileira de Lingüística Aplicada. 11(2). 479–519. 25 indexed citations
13.
Fabbri, Marco, et al.. (2006). Integrating Methods and LRs for Automatic Keyword Extraction from Open Domain Texts. Language Resources and Evaluation. 1917–1920. 6 indexed citations
14.
Moneglia, Massimo. (2004). Measurements of Spoken Language Variability in a Multilingual Corpus. Predictable Aspects. Language Resources and Evaluation. 1 indexed citations
15.
Moneglia, Massimo, et al.. (2004). Using PiTagger for Lemmatization and PoS Tagging of a Spontaneous Speech Corpus: C-Oral-Rom Italian.. Language Resources and Evaluation. 2 indexed citations
16.
Danieli, Morena, et al.. (2004). Evaluation of consensus on the annotation of prosodic breaks in the Romance corpus of spontaneous speech "C-ORAL-ROM". Language Resources and Evaluation. 1513–1516. 8 indexed citations
17.
Moneglia, Massimo & Emanuela Cresti. (2003). Il progetto C-ORAL-ROM. Integrated reference corpora for spoken romance languages. 1000–1014. 1 indexed citations
18.
Cresti, Emanuela, Philippe Martin, & Massimo Moneglia. (2002). L'intonation des illocutions naturelles représentatives ; analyse et validation perceptive. HAL (Le Centre pour la Communication Scientifique Directe). 2 indexed citations
19.
Cresti, Emanuela, Massimo Moneglia, Antonio Moreno Sandoval, et al.. (2002). The C-ORAL-ROM Project. New methods for spoken language archives in a multilingual romance corpus.. Language Resources and Evaluation. 8 indexed citations
20.
Moneglia, Massimo. (2000). Cambiamenti semantici palesi e nascosti nel lessico verbale italiano: le transizioni di possesso. 35(4). 629–664. 1 indexed citations

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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