Mónica Marrero

21 papers receiving 318 citations

Peers

Mónica Marrero
Comparison fields: 5 of 56
  • Artificial Intelligence 241
  • Information Systems 104
  • Signal Processing 51
  • Management Science and Operations Research 48
  • Computer Vision and Pattern Recognition 46
Replace Lynda Tamine with:
Lynda Tamine France
Chaitanya Chemudugunta United States
Martín Braschler Switzerland
M. Cristina Pattuelli United States
Sonia Sánchez-Cuadrado Spain
Michiel Hildebrand Netherlands
Emaad Manzoor United States
Laurens De Vocht Belgium
Daniel Tunkelang United States
Justin Martineau United States
Mónica Marrero relative to Lynda Tamine France Lynda Tamine's profile →
Citations per field
00.5×1.5×2.5×
Lynda Tamine · 1×
Citations per year

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
#WorkIndexed citations
1 36
2 1
3 6
4 4
5 2
6 2
7 20
8 1
9 9
10 2
11
The University Carlos III of Madrid at TREC 2011 Crowdsourcing Track.
3
12 2
13 2
14 1
15 10
16 1
17 4
18
Evaluation of Named Entity Extraction Systems
31
19
Definición de una Metodología para la Construcción de Sistemas de Organización del Conocimiento a partir de un Corpus Documental en Lenguaje Natural
2
20
Evaluación de las necesidades sociopersonales de drogodependientes, desde un programa de intervención: La perspectiva de los implicados
0

About Mónica Marrero

Mónica Marrero is a scholar working on Software, Signal Processing and Information Systems, having authored 23 papers that have together received 346 indexed citations. Recurring topics across this work include Information Retrieval and Search Behavior (6 papers), Semantic Web and Ontologies (5 papers) and Natural Language Processing Techniques (5 papers). The work is most often cited by research in Artificial Intelligence (241 citations), Computer Science Applications (29 citations) and Signal Processing (51 citations). Mónica Marrero has collaborated with scholars based in Spain, Netherlands and United States. Frequent 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. Their work appears in journals such as Computer Standards & Interfaces, Natural Language Engineering and El Profesional de la Informacion.

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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