Ivandré Paraboni

1.0k citations
86 papers · 658 · h-index 14

Impact in

    • Topic Modeling
    • Natural Language Processing Techniques
    • Speech and dialogue systems
    • Sentiment Analysis and Opinion Mining
    • Authorship Attribution and Profiling
    • Hate Speech and Cyberbullying Detection

Papers in

    • Natural Language Processing Techniques 56
    • Topic Modeling 52
    • Speech and dialogue systems 46
    • Sentiment Analysis and Opinion Mining 14
    • Authorship Attribution and Profiling 12
    • Multi-Agent Systems and Negotiation 6
    • Mental Health via Writing 8

Ivandré Paraboni

80 papers receiving 602 citations

Peers

Ivandré Paraboni
Comparison fields: 5 of 52
  • Artificial Intelligence 532
  • General Social Sciences 23
  • Experimental and Cognitive Psychology 90
  • Social Psychology 91
  • Language and Linguistics 48
Replace Sze-Meng Jojo Wong with:
Sze-Meng Jojo Wong Australia
Neil Mayo United Kingdom
Su‐Youn Yoon United States
Rob Abbott United States
Guy Denhière France
Md. Iftekhar Tanveer United States
Nikolaos Malandrakis United States
Tatiana Litvinova Russia
Robbert‐Jan Beun Netherlands
Peter J. Kwantes Canada
Ivandré Paraboni relative to Sze-Meng Jojo Wong Australia Sze-Meng Jojo Wong's profile →
Citations per field
00.5×4.3×
Sze-Meng Jojo Wong · 1×
Citations per year

Countries citing papers authored by Ivandré Paraboni

Since Specialization
Citations

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

Fields of papers citing papers by Ivandré Paraboni

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 14 scholars most cited alongside Ivandré Paraboni, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Ivandré Paraboni Line = papers co-authored together Ivandré Paraboni links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 86 papers — load more, or switch the sort, to bring in the rest.

#Work
1 200789
2 201328
3 202024
4 201919
5 202317
6 201816
7 201816
8 201215
9 201715
10 201815
11 201915
12 202015
13 202015
14 201014
15
Searching Brazilian Twitter for Signs of Mental Health Issues
202013
16 202113
17 202113
18
Generating Easy References: the case of document deixis.
200212
19 201412
20 201512

About Ivandré Paraboni

Ivandré Paraboni is a scholar working on Artificial Intelligence, Social Psychology, Information Systems, Sociology and Political Science and Clinical Psychology, having authored 86 papers that have together received 658 indexed citations. Recurring topics across this work include Natural Language Processing Techniques (56 papers), Topic Modeling (52 papers), Speech and dialogue systems (46 papers), Sentiment Analysis and Opinion Mining (14 papers), Authorship Attribution and Profiling (12 papers), Mental Health via Writing (8 papers), Spam and Phishing Detection (6 papers) and Multi-Agent Systems and Negotiation (6 papers). The work is most often cited by research in Artificial Intelligence (532 citations), General Social Sciences (23 citations), Experimental and Cognitive Psychology (90 citations), Social Psychology (91 citations) and Language and Linguistics (48 citations). Ivandré Paraboni has collaborated with scholars based in Brazil, United Kingdom and Peru. Frequent co-authors include Kees van Deemter, Judith Masthoff, Thiago Castro Ferreira, Barbara C. Silva, Thiago Alexandre Salgueiro Pardo, Wilker Aziz, Samuel da Silva, Jorge Baptista, Patrícia R. Oliveira and Maria das Graças Volpe Nunes. Their work appears in journals such as Language Resources and Evaluation, New Review of Hypermedia and Multimedia, Lecture notes in computer science, Natural Language Engineering and Computational Linguistics.

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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