Estér Boldrini

605 total citations
33 papers, 368 citations indexed

About

Estér Boldrini is a scholar working on Artificial Intelligence, Information Systems and Communication. According to data from OpenAlex, Estér Boldrini has authored 33 papers receiving a total of 368 indexed citations (citations by other indexed papers that have themselves been cited), including 29 papers in Artificial Intelligence, 6 papers in Information Systems and 2 papers in Communication. Recurrent topics in Estér Boldrini's work include Sentiment Analysis and Opinion Mining (23 papers), Topic Modeling (21 papers) and Advanced Text Analysis Techniques (16 papers). Estér Boldrini is often cited by papers focused on Sentiment Analysis and Opinion Mining (23 papers), Topic Modeling (21 papers) and Advanced Text Analysis Techniques (16 papers). Estér Boldrini collaborates with scholars based in Spain, Italy and Belgium. Estér Boldrini's co-authors include Patricio Martínez-Barco, Andrés Montoyo, Alexandra Balahur, Francesco Rubino, Tommaso Caselli, Irene Russo, Elena Lloret, Carlo Strapparava, Manuel Palomar and Walter Daelemans and has published in prestigious journals such as Expert Systems with Applications, Journal of Biomedical Informatics and Data Mining and Knowledge Discovery.

In The Last Decade

Estér Boldrini

30 papers receiving 342 citations

Peers

Estér Boldrini
Matej Martinc Slovenia
Reid Swanson United States
Anil Bandhakavi United Kingdom
Sven Buechel Germany
Niyati Chhaya United States
Matej Martinc Slovenia
Estér Boldrini
Citations per year, relative to Estér Boldrini Estér Boldrini (= 1×) peers Matej Martinc

Countries citing papers authored by Estér Boldrini

Since Specialization
Citations

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

Fields of papers citing papers by Estér Boldrini

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Estér Boldrini

This figure shows the co-authorship network connecting the top 25 collaborators of Estér Boldrini. A scholar is included among the top collaborators of Estér Boldrini 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 Estér Boldrini. Estér Boldrini 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.
Daelemans, Walter, et al.. (2019). EmoLabel: Semi-Automatic Methodology for Emotion Annotation of Social Media Text. IEEE Transactions on Affective Computing. 13(2). 579–591. 18 indexed citations
2.
Boldrini, Estér, et al.. (2017). DrugSemantics: A corpus for Named Entity Recognition in Spanish Summaries of Product Characteristics. Journal of Biomedical Informatics. 72. 8–22. 20 indexed citations
3.
Daelemans, Walter, et al.. (2017). Towards the Improvement of Automatic Emotion Pre-annotation with Polarity and Subjective Information. Anet (University of Antwerp). 157–163. 4 indexed citations
4.
Strapparava, Carlo, et al.. (2016). Innovative Semi-Automatic Methodology to Annotate Emotional Corpora. International Conference on Computational Linguistics. 91–100. 1 indexed citations
5.
Boldrini, Estér & Patricio Martínez-Barco. (2012). EmotiBlog: A Model to Learn Subjective Information Detection in the New Textual Genres of the Web 2.0 -a Multilingual and Multi-Genre Approach. Procesamiento del lenguaje natural. 48(48). 131–134. 3 indexed citations
6.
Boldrini, Estér, Alexandra Balahur, Patricio Martínez-Barco, & Andrés Montoyo. (2012). Using EmotiBlog to annotate and analyse subjectivity in the new textual genres. Data Mining and Knowledge Discovery. 25(3). 603–634. 18 indexed citations
7.
Boldrini, Estér, et al.. (2011). EmotiBlog: towards a finer-grained sentiment analysis and its application to opinion mining. BMC Anesthesiology. 20(1). 190–190.
8.
Balahur, Alexandra, Estér Boldrini, Andrés Montoyo, & Patricio Martínez-Barco. (2011). Proceedings of the 2nd Workshop on Computational Approaches to Subjectivity and Sentiment Analysis (WASSA 2.011).. Meeting of the Association for Computational Linguistics. 25 indexed citations
9.
Russo, Irene, Tommaso Caselli, Francesco Rubino, Estér Boldrini, & Patricio Martínez-Barco. (2011). EMOCause: An Easy-adaptable Approach to Extract Emotion Cause Contexts. Meeting of the Association for Computational Linguistics. 153–160. 22 indexed citations
10.
Boldrini, Estér, et al.. (2011). Análisis de sentimientos y minería de opiniones: el corpus EmotiBlog. Procesamiento del lenguaje natural. 47(47). 179–187. 1 indexed citations
11.
Cecchi, Francesca, Estér Boldrini, Cecilia Laschi, et al.. (2011). Instrumented toys for studying power and precision grasp forces in infants. PubMed. 51. 2017–2020. 6 indexed citations
12.
Mazzoleni, Stefano, Estér Boldrini, Cecilia Laschi, et al.. (2011). Changes on EMG activation in healthy subjects and incomplete SCI patients following a robot-assisted locomotor training. PubMed. 2. 1–6. 15 indexed citations
13.
Boldrini, Estér, Alexandra Balahur, Patricio Martínez-Barco, & Andrés Montoyo. (2010). EmotiBlog: A Finer-Grained and More Precise Learning of Subjectivity Expression Models. RUA, Repositorio Institucional de la Universidad de Alicante (Universidad de Alicante). 1–10. 12 indexed citations
14.
Balahur, Alexandra, Estér Boldrini, Andrés Montoyo, & Patricio Martínez-Barco. (2010). IBEREVAL OM: Mining Opinions from the new textual genres. Procesamiento del lenguaje natural. 45(45). 267–271. 1 indexed citations
15.
Balahur, Alexandra, Estér Boldrini, Andrés Montoyo, & Patricio Martínez-Barco. (2010). The OpAL System at NTCIR 8 MOAT. NTCIR. 241–245. 5 indexed citations
16.
Balahur, Alexandra, Estér Boldrini, Andrés Montoyo, & Patricio Martínez-Barco. (2010). Going Beyond Traditional QA Systems: Challenges and Keys in Opinion Question Answering. International Conference on Computational Linguistics. 27–35. 8 indexed citations
17.
Balahur, Alexandra, Estér Boldrini, Andrés Montoyo, & Patricio Martínez-Barco. (2009). A Comparative Study of Open Domain and Opinion Question Answering Systems for Factual and Opinionated Queries. Recent Advances in Natural Language Processing. 18–22. 3 indexed citations
18.
Boldrini, Estér, et al.. (2009). AQA: a multilingual Anaphora annotation scheme for Question Answering. Procesamiento del lenguaje natural. 42(42). 97–104. 3 indexed citations
19.
Balahur, Alexandra, Estér Boldrini, Andrés Montoyo, & Patricio Martínez-Barco. (2009). Fact versus Opinion Questions Classification and Answering: Challenges and Keys.. International Conference on Artificial Intelligence. 750–755. 3 indexed citations
20.
Boldrini, Estér, Alexandra Balahur, Patricio Martínez-Barco, & Andrés Montoyo. (2009). EmotiBlog: an Annotation Scheme for Emotion Detection and Analysis in Non-traditional Textual Genres.. 1(4). 491–497. 20 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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