Laura Plaza
About
In The Last Decade
Laura Plaza
45 papers receiving 619 citations
Peers
Comparison fields: 5 of 71
- Artificial Intelligence 566
- Molecular Biology 148
- Information Systems 87
- Sociology and Political Science 81
- Social Psychology 35
Countries citing papers authored by Laura Plaza
This map shows the geographic impact of Laura Plaza'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 Laura Plaza with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Laura Plaza more than expected).
Fields of papers citing papers by Laura Plaza
This network shows the impact of papers produced by Laura Plaza. 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 Laura Plaza. The network helps show where Laura Plaza may publish in the future.
Co-authorship network of co-authors of Laura Plaza
This figure shows the co-authorship network connecting the top 25 collaborators of Laura Plaza. A scholar is included among the top collaborators of Laura Plaza 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 Laura Plaza. Laura Plaza is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 0 | |
| 3 | 1 | |
| 4 | UNEDBiasTeam at IberLEF 2021's EXIST Task: Detecting Sexism Using Bias Techniques. | 1 |
| 5 | Combining Transformer-Based Models with Traditional Machine Learning Approaches for Sexism Identification in Social Networks at EXIST 2021. | 2 |
| 6 | 27 | |
| 7 | 3 | |
| 8 | 15 | |
| 9 | A social tag-based dimensional model of emotions: Building cross-domain folksonomies | 1 |
| 10 | 16 | |
| 11 | SentiSense: An easily scalable concept-based affective lexicon for sentiment analysis | 72 |
| 12 | UCM-2: a Rule-Based Approach to Infer the Scope of Negation via Dependency Parsing | 5 |
| 13 | UCM-I: A Rule-based Syntactic Approach for Resolving the Scope of Negation | 12 |
| 14 | Using semantic graphs and word sense disambiguation techniques to improve text summarization | 8 |
| 15 | Multi-Document Summarization by Capturing the Information Users are Interested in | 1 |
| 16 | AutoIndexer: investigación y desarrollo de metodologías y recursos terminológicos de apoyo para los procesos de indexación automática de documentos clínicos | 0 |
| 17 | 60 | |
| 18 | Improving Summarization of Biomedical Documents Using Word Sense Disambiguation | 9 |
| 19 | A Hybrid Approach to Emotional Sentence Polarity and Intensity Classification | 28 |
| 20 | Uso de grafos de conceptos para la generación automática de resumenes en biomedicina | 0 |
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.