This map shows the geographic impact of Nuno Seco'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 Nuno Seco with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Nuno Seco more than expected).
This network shows the impact of papers produced by Nuno Seco. 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 Nuno Seco. The network helps show where Nuno Seco may publish in the future.
Co-authorship network of co-authors of Nuno Seco
This figure shows the co-authorship network connecting the top 25 collaborators of Nuno Seco.
A scholar is included among the top collaborators of Nuno Seco 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 Nuno Seco. Nuno Seco is excluded from
the visualization to improve readability, since they are connected to all nodes in the network.
Seco, Nuno. (2007). MUC vs HAREM: a contrastive perspective. Portuguese National Funding Agency for Science, Research and Technology (RCAAP Project by FCT).1 indexed citations
4.
Santos, Diana, et al.. (2006). HAREM: An Advanced NER Evaluation Contest for Portuguese. Language Resources and Evaluation. 1986–1991.25 indexed citations
5.
Seco, Nuno & Nuno Cardoso. (2006). Detecting user sessions in the tumba! web log. Portuguese National Funding Agency for Science, Research and Technology (RCAAP Project by FCT).3 indexed citations
6.
Gomes, Paulo, et al.. (2006). An Approach to Software Design Reuse Using Case-Based Reasoning and WordNet. 119–134.
Seco, Nuno. (2006). Building a Large Scale lexical Ontology for Portuguese. Portuguese National Funding Agency for Science, Research and Technology (RCAAP Project by FCT).
9.
Bento, Carlos, et al.. (2005). Rebuilder: a case-based reasoning approach to knowledge management in software design. Dialnet (Universidad de la Rioja). 13(4). 269–276.4 indexed citations
10.
Gomes, Paulo, et al.. (2004). Reuse of UML Class Diagrams Using Case-Based Composition.. Software Engineering and Knowledge Engineering. 258–263.1 indexed citations
11.
Hayes, Jer, Tony Veale, & Nuno Seco. (2004). Enriching WordNet Via Generative Metonymy and Creative Polysemy. Language Resources and Evaluation.1 indexed citations
12.
Seco, Nuno, Tony Veale, & Jer Hayes. (2004). Concept Creation in Lexical Ontologies. Language Resources and Evaluation.1 indexed citations
13.
Seco, Nuno, Tony Veale, & Jer Hayes. (2004). An intrinsic information content metric for semantic similarity in WordNet. European Conference on Artificial Intelligence. 1089–1090.334 indexed citations
Seco, Nuno, Paulo Gomes, & Francisco C. Pereira. (2004). Modelling Software Specifications with Case Based Reasoning.. 135–144.1 indexed citations
16.
Gomes, Paulo, et al.. (2004). Using WordNet for case-based retrieval of UML models. 17(1). 13–23.14 indexed citations
17.
Gomes, Paulo, et al.. (2003). Selection and Reuse of Software Design Patterns Using CBR and WordNet.. Software Engineering and Knowledge Engineering. 289–296.5 indexed citations
18.
Gomes, Paulo, et al.. (2003). Case-Based Reuse of UML Diagrams.. Software Engineering and Knowledge Engineering. 95(5). 335–339.2 indexed citations
19.
Bento, Carlos, et al.. (2003). Rebuilder: a case-based reasoning design reuse tool. Dialnet (Universidad de la Rioja). 11(2). 75–84.1 indexed citations
20.
Gomes, Paulo, et al.. (2002). Case retrieval of software designs using WordNet. European Conference on Artificial Intelligence. 245–249.11 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.