Countries citing papers authored by Teresa Gonçalves
Since
Specialization
Citations
This map shows the geographic impact of Teresa Gonçalves'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 Teresa Gonçalves with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Teresa Gonçalves more than expected).
Fields of papers citing papers by Teresa Gonçalves
This network shows the impact of papers produced by Teresa Gonçalves. 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 Teresa Gonçalves. The network helps show where Teresa Gonçalves may publish in the future.
Co-authorship network of co-authors of Teresa Gonçalves
This figure shows the co-authorship network connecting the top 25 collaborators of Teresa Gonçalves.
A scholar is included among the top collaborators of Teresa Gonçalves 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 Teresa Gonçalves. Teresa Gonçalves is excluded from
the visualization to improve readability, since they are connected to all nodes in the network.
Šavelka, Jaromír, et al.. (2020). ECHR: Legal Corpus for Argument Mining. 67–75.13 indexed citations
4.
Gonçalves, Teresa, et al.. (2018). Fully Connected Neural Network with Advance Preprocessor to Identify Aggression over Facebook and Twitter. Portuguese National Funding Agency for Science, Research and Technology (RCAAP Project by FCT). 28–41.15 indexed citations
5.
Gonçalves, Teresa, et al.. (2018). Multilingual Author Profiling using LSTMs: Notebook for PAN at CLEF 2018.. CLEF (Working Notes).2 indexed citations
6.
Obaidullah, Sk Md, et al.. (2018). Texture Analysis from 3D Model and Individual Slice Extraction for Tuberculosis MDR Detection, Type Classification and Severity Scoring.. Portuguese National Funding Agency for Science, Research and Technology (RCAAP Project by FCT).3 indexed citations
7.
Gonçalves, Teresa, et al.. (2018). Multi-Language Neural Network Model with Advance Preprocessor for Gender Classification over Social Media: Notebook for PAN at CLEF 2018.. CLEF (Working Notes).2 indexed citations
8.
Sequeira, João, Teresa Gonçalves, Paulo Quaresma, Amália Mendes, & Iris Hendrickx. (2018). A Multi- versus a Single-classifier Approach for the Identification of Modality in the Portuguese Language. Language Resources and Evaluation. 1000–1005.
Gonçalves, Teresa, et al.. (2016). Author Profiling using SVMs and Word Embedding Averages.. CLEF (Working Notes). 815–823.5 indexed citations
14.
Duarte, José Alberto, et al.. (2016). Author Profiling Using Support Vector Machines.. CLEF (Working Notes). 805–814.1 indexed citations
15.
Gonçalves, Teresa, et al.. (2016). Age and Gender Identification using Stacking for Classification.. CLEF (Working Notes). 785–790.3 indexed citations
16.
Sequeira, João, Nuno Miranda, Teresa Gonçalves, & Paulo Quaresma. (2014). TeamUEvora at CLEF eHealth 2014 Task2a. Portuguese National Funding Agency for Science, Research and Technology (RCAAP Project by FCT). 156–166.
17.
Quaresma, Paulo, Amália Mendes, Iris Hendrickx, & Teresa Gonçalves. (2014). Automatic tagging of modality: identifying triggers and modal value. Radboud Repository (Radboud University). 95–102.1 indexed citations
18.
Gonçalves, Teresa & Paulo Quaresma. (2010). Polylingual Text Classification in the Legal Domain. Portuguese National Funding Agency for Science, Research and Technology (RCAAP Project by FCT). 203–216.1 indexed citations
Silva, António Rito, et al.. (1997). Distributed Proxy: A Design Pattern for Distributed Object Communication. 41–4.6 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.