Felipe Bravo-Márquez

2.4k total citations · 1 hit paper
41 papers, 1.5k citations indexed

About

Felipe Bravo-Márquez is a scholar working on Artificial Intelligence, Information Systems and Communication. According to data from OpenAlex, Felipe Bravo-Márquez has authored 41 papers receiving a total of 1.5k indexed citations (citations by other indexed papers that have themselves been cited), including 33 papers in Artificial Intelligence, 9 papers in Information Systems and 4 papers in Communication. Recurrent topics in Felipe Bravo-Márquez's work include Sentiment Analysis and Opinion Mining (17 papers), Topic Modeling (15 papers) and Advanced Text Analysis Techniques (13 papers). Felipe Bravo-Márquez is often cited by papers focused on Sentiment Analysis and Opinion Mining (17 papers), Topic Modeling (15 papers) and Advanced Text Analysis Techniques (13 papers). Felipe Bravo-Márquez collaborates with scholars based in Chile, New Zealand and Canada. Felipe Bravo-Márquez's co-authors include Saif M. Mohammad, Mohammad Salameh, Svetlana Kiritchenko, Bárbara Poblete, Marcelo Mendoza, Eibe Frank, Edison Marrese-Taylor, Juan D. Velásquez, Bernhard Pfahringer and Steve Reeves and has published in prestigious journals such as Expert Systems with Applications, Journal of Machine Learning Research and Knowledge-Based Systems.

In The Last Decade

Felipe Bravo-Márquez

37 papers receiving 1.4k citations

Hit Papers

SemEval-2018 Task 1: Affect in Tweets 2018 2026 2020 2023 2018 100 200 300 400
What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

  1. SemEval-2018 Task 1: Affect in Tweets
    2018 463 citations Saif M. Mohammad, Felipe Bravo-Márquez et al. NPARC profile →

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Felipe Bravo-Márquez Chile 17 1.2k 309 263 198 121 41 1.5k
Alice Oh South Korea 20 1.2k 1.0× 323 1.0× 286 1.1× 103 0.5× 121 1.0× 98 1.8k
Stefano Baccianella Italy 6 1.7k 1.4× 462 1.5× 241 0.9× 106 0.5× 68 0.6× 7 2.0k
Oren Tsur Israel 12 1.3k 1.0× 366 1.2× 256 1.0× 81 0.4× 90 0.7× 32 1.6k
Luís Alfonso Ureña López Spain 24 1.9k 1.5× 480 1.6× 181 0.7× 137 0.7× 39 0.3× 153 2.2k
Alexandra Balahur Spain 21 1.4k 1.1× 270 0.9× 163 0.6× 95 0.5× 72 0.6× 62 1.6k
Elisabetta Fersini Italy 17 1.2k 1.0× 265 0.9× 194 0.7× 160 0.8× 34 0.3× 60 1.4k
Véronique Hoste Belgium 25 2.9k 2.3× 371 1.2× 181 0.7× 425 2.1× 120 1.0× 167 3.2k
Julian Brooke Canada 14 2.2k 1.8× 438 1.4× 373 1.4× 139 0.7× 105 0.9× 37 2.6k
Hugo Liu United States 14 647 0.5× 197 0.6× 274 1.0× 146 0.7× 122 1.0× 23 1.1k
Manuel Montes-y-Gómez Mexico 22 1.3k 1.0× 450 1.5× 167 0.6× 358 1.8× 168 1.4× 126 1.7k

Countries citing papers authored by Felipe Bravo-Márquez

Since Specialization
Citations

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

Fields of papers citing papers by Felipe Bravo-Márquez

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Felipe Bravo-Márquez. 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 Felipe Bravo-Márquez. The network helps show where Felipe Bravo-Márquez may publish in the future.

Co-authorship network of co-authors of Felipe Bravo-Márquez

This figure shows the co-authorship network connecting the top 25 collaborators of Felipe Bravo-Márquez. A scholar is included among the top collaborators of Felipe Bravo-Márquez 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 Felipe Bravo-Márquez. Felipe Bravo-Márquez 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.
Bravo-Márquez, Felipe, et al.. (2025). Unsupervised Framing Analysis for Social Media Discourse in Polarizing Events. ACM Transactions on the Web. 19(4). 1–42.
2.
Bravo-Márquez, Felipe, et al.. (2025). NLP modeling recommendations for restricted data availability in clinical settings. BMC Medical Informatics and Decision Making. 25(1). 116–116.
3.
Schlechtweg, Dominik, et al.. (2024). Sense through time: diachronic word sense annotations for word sense induction and Lexical Semantic Change Detection. Language Resources and Evaluation. 59(2). 1431–1465.
4.
Bravo-Márquez, Felipe, et al.. (2023). MUSIB: musical score inpainting benchmark. EURASIP Journal on Audio Speech and Music Processing. 2023(1). 1 indexed citations
5.
Bravo-Márquez, Felipe, et al.. (2023). RiverText: A Python Library for Training and Evaluating Incremental Word Embeddings from Text Data Streams. ArXiv.org. 3027–3036. 1 indexed citations
6.
Bravo-Márquez, Felipe, et al.. (2022). Language Modeling on Location-Based Social Networks. ISPRS International Journal of Geo-Information. 11(2). 147–147.
7.
Bravo-Márquez, Felipe, et al.. (2022). LSCDiscovery: A shared task on semantic change discovery and detection in Spanish. 149–164. 14 indexed citations
8.
Calude, Andreea S., et al.. (2020). Hybrid Hashtags: #YouKnowYoureAKiwiWhen Your Tweet Contains Māori and English. Frontiers in Artificial Intelligence. 3. 15–15. 8 indexed citations
9.
Valdés-Badilla, Pablo, Felipe Bravo-Márquez, & Jorge Eduardo Pérez Pérez. (2020). WEFE: The Word Embeddings Fairness Evaluation Framework. Universidad de Chile. 430–436. 16 indexed citations
10.
Mohammad, Saif M. & Felipe Bravo-Márquez. (2019). WASSA-2017 shared task on emotion intensity. Research Commons (University of Waikato). 106 indexed citations
11.
Bravo-Márquez, Felipe, et al.. (2019). An ELMo-inspired approach to SemDeep-5’s Word-in-Context task. International Joint Conference on Artificial Intelligence. 21–25. 6 indexed citations
12.
Calude, Andreea S., et al.. (2019). Māori Loanwords: A Corpus of New Zealand English Tweets. 136–142. 3 indexed citations
13.
Bravo-Márquez, Felipe, Eibe Frank, Bernhard Pfahringer, & Saif M. Mohammad. (2019). AffectiveTweets: a Weka package for analyzing affect in tweets. Journal of Machine Learning Research. 20(92). 1–6. 21 indexed citations
14.
Bravo-Márquez, Felipe, Steve Reeves, & Martín Ugarte. (2019). Proof-of-Learning: A Blockchain Consensus Mechanism Based on Machine Learning Competitions. Research Commons (University of Waikato). 119–124. 63 indexed citations
15.
Mohammad, Saif M., Felipe Bravo-Márquez, Mohammad Salameh, & Svetlana Kiritchenko. (2018). SemEval-2018 Task 1: Affect in Tweets. NPARC. 1–17. 463 indexed citations breakdown →
16.
Bravo-Márquez, Felipe, Eibe Frank, Saif M. Mohammad, & Bernhard Pfahringer. (2016). Determining word–emotion associations from tweets by multi-label classification. Research Commons (University of Waikato). 35 indexed citations
17.
Bravo-Márquez, Felipe, Eibe Frank, & Bernhard Pfahringer. (2016). Building a Twitter opinion lexicon from automatically-annotated tweets. Knowledge-Based Systems. 108. 65–78. 50 indexed citations
18.
Bravo-Márquez, Felipe, Eibe Frank, & Bernhard Pfahringer. (2015). Positive, negative, or neutral: learning an expanded opinion lexicon from emoticon-annotated tweets. Research Commons (University of Waikato). 1229–1235. 13 indexed citations
19.
Bravo-Márquez, Felipe, Daniel Gayo-Avello, Marcelo Mendoza, & Bárbara Poblete. (2012). Opinion Dynamics of Elections in Twitter. Consultation of the Doctoral Thesis Database (TESEO) (Ministerio de Educación, Cultura y Deporte). 32–39. 17 indexed citations
20.
Bravo-Márquez, Felipe, et al.. (2011). A Text Similarity Meta-Search Engine Based on Document Fingerprints and Search Results Records. 146–153. 10 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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