Mónica Marrero

609 total citations
23 papers, 346 citations indexed

About

Mónica Marrero is a scholar working on Artificial Intelligence, Information Systems and Signal Processing. According to data from OpenAlex, Mónica Marrero has authored 23 papers receiving a total of 346 indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Artificial Intelligence, 12 papers in Information Systems and 6 papers in Signal Processing. Recurrent topics in Mónica Marrero's work include Information Retrieval and Search Behavior (6 papers), Semantic Web and Ontologies (5 papers) and Natural Language Processing Techniques (5 papers). Mónica Marrero is often cited by papers focused on Information Retrieval and Search Behavior (6 papers), Semantic Web and Ontologies (5 papers) and Natural Language Processing Techniques (5 papers). Mónica Marrero collaborates with scholars based in Spain, Netherlands and United States. Mónica Marrero's co-authors include Julián Urbano, Jorge Morato, Sonia Sánchez-Cuadrado, Juan Miguel Gómez-Berbís, Diego Martín, Claudia Hauff, Jaron Harambam, Nava Tintarev, Mykola Makhortykh and Juan Lloréns and has published in prestigious journals such as Computer Standards & Interfaces, Natural Language Engineering and El Profesional de la Informacion.

In The Last Decade

Mónica Marrero

21 papers receiving 318 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Mónica Marrero Spain 8 241 104 51 48 46 23 346
Chaitanya Chemudugunta United States 5 282 1.2× 112 1.1× 18 0.4× 25 0.5× 33 0.7× 6 383
M. Cristina Pattuelli United States 10 124 0.5× 169 1.6× 21 0.4× 40 0.8× 26 0.6× 29 304
Martín Braschler Switzerland 11 348 1.4× 201 1.9× 23 0.5× 27 0.6× 39 0.8× 32 438
Michiel Hildebrand Netherlands 11 194 0.8× 122 1.2× 41 0.8× 27 0.6× 72 1.6× 24 295
Laurens De Vocht Belgium 8 204 0.8× 105 1.0× 29 0.6× 57 1.2× 41 0.9× 37 265
Lynda Tamine France 11 186 0.8× 154 1.5× 37 0.7× 28 0.6× 44 1.0× 44 322
Anne Boyer France 8 91 0.4× 131 1.3× 28 0.5× 29 0.6× 38 0.8× 56 242
Justin Martineau United States 9 460 1.9× 163 1.6× 27 0.5× 44 0.9× 23 0.5× 17 571
Daniel Tunkelang United States 6 131 0.5× 123 1.2× 36 0.7× 29 0.6× 82 1.8× 16 293
Emaad Manzoor United States 7 275 1.1× 84 0.8× 77 1.5× 24 0.5× 31 0.7× 10 386

Countries citing papers authored by Mónica Marrero

Since Specialization
Citations

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

Fields of papers citing papers by Mónica Marrero

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Mónica Marrero

This figure shows the co-authorship network connecting the top 25 collaborators of Mónica Marrero. A scholar is included among the top collaborators of Mónica Marrero 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 Mónica Marrero. Mónica Marrero 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.
Harambam, Jaron, et al.. (2019). SIREN. UvA-DARE (University of Amsterdam). 150–159. 36 indexed citations
2.
Marrero, Mónica & Claudia Hauff. (2018). A/B Testing with APONE. 1269–1272. 1 indexed citations
3.
Urbano, Julián & Mónica Marrero. (2017). The Treatment of Ties in AP Correlation. Research Repository (Delft University of Technology). 321–324. 6 indexed citations
4.
Marrero, Mónica & Julián Urbano. (2017). A Semi-automatic and low-cost method to learn patterns for named entity recognition. Natural Language Engineering. 24(1). 39–75. 4 indexed citations
5.
Urbano, Julián & Mónica Marrero. (2016). Toward Estimating the Rank Correlation between the Test Collection Results and the True System Performance. 1033–1036. 2 indexed citations
6.
Marinescu, Maria-Cristina, et al.. (2015). Models for sustainability. 1–6. 2 indexed citations
7.
Urbano, Julián, Mónica Marrero, & Diego Martín. (2013). A comparison of the optimality of statistical significance tests for information retrieval evaluation. 925–928. 20 indexed citations
8.
Marrero, Mónica, Julián Urbano, Sonia Sánchez-Cuadrado, Jorge Morato, & Juan Miguel Gómez-Berbís. (2012). Named Entity Recognition: Fallacies, challenges and opportunities. Computer Standards & Interfaces. 35(5). 482–489. 149 indexed citations
9.
Martín, Diego, et al.. (2011). Virtualización, una solución para la Eficiencia, Seguridad y Administración de Intranets. El Profesional de la Informacion. 20(3). 348–355. 1 indexed citations
10.
Urbano, Julián, Diego Martín, Mónica Marrero, & Jorge Morato. (2011). Audio Music Similarity And Retrieval: Evaluation Power And Stability.. Zenodo (CERN European Organization for Nuclear Research). 597–602. 9 indexed citations
11.
Urbano, Julián, Mónica Marrero, Diego Martín, & Jorge Morato. (2011). Bringing undergraduate students closer to a real-world information retrieval setting. 293–297. 2 indexed citations
12.
Urbano, Julián, Mónica Marrero, Diego Martín, & Juan Lloréns. (2010). Improving The Generation Of Ground Truths Based On Partially Ordered Lists.. Zenodo (CERN European Organization for Nuclear Research). 285–290. 10 indexed citations
13.
Marrero, Mónica, Sonia Sánchez-Cuadrado, Julián Urbano, Jorge Morato, & José Antônio Moreiro González. (2010). Sistemas de recuperación de información adaptados al dominio biomédico. El Profesional de la Informacion. 19(3). 246–254. 2 indexed citations
14.
Palacios, Vicente, Juan Lloréns, Sonia Sánchez-Cuadrado, & Mónica Marrero. (2010). Tagging for improved semantic interpretation of XML. 19–20. 2 indexed citations
15.
Marrero, Mónica, Julián Urbano, Jorge Morato, & Sonia Sánchez-Cuadrado. (2010). On the definition of patterns for semantic annotation. 15–16. 1 indexed citations
16.
Urbano, Julián, et al.. (2010). Crawling the web for structured documents. 1939–1940. 1 indexed citations
17.
Génova, Gonzalo, et al.. (2009). On the difference between analysis and design, and why it is relevant for the interpretation of models in Model Driven Engineering.. The Journal of Object Technology. 8(1). 107–107. 4 indexed citations
18.
Marrero, Mónica, et al.. (2009). Evaluation of Named Entity Extraction Systems. 31 indexed citations
19.
Sánchez-Cuadrado, Sonia, Jorge Morato, José Antônio Moreiro González, & Mónica Marrero. (2007). Definición de una Metodología para la Construcción de Sistemas de Organización del Conocimiento a partir de un Corpus Documental en Lenguaje Natural. Procesamiento del lenguaje natural. 39(39). 213–220. 2 indexed citations
20.
Marrero, Mónica, et al.. (2003). Evaluación de las necesidades sociopersonales de drogodependientes, desde un programa de intervención: La perspectiva de los implicados. Anales de Psicología. 19(2). 173–186.

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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