José Saias

469 total citations
31 papers, 234 citations indexed

About

José Saias is a scholar working on Artificial Intelligence, Computer Networks and Communications and Information Systems. According to data from OpenAlex, José Saias has authored 31 papers receiving a total of 234 indexed citations (citations by other indexed papers that have themselves been cited), including 19 papers in Artificial Intelligence, 5 papers in Computer Networks and Communications and 5 papers in Information Systems. Recurrent topics in José Saias's work include Topic Modeling (12 papers), Advanced Text Analysis Techniques (9 papers) and Sentiment Analysis and Opinion Mining (7 papers). José Saias is often cited by papers focused on Topic Modeling (12 papers), Advanced Text Analysis Techniques (9 papers) and Sentiment Analysis and Opinion Mining (7 papers). José Saias collaborates with scholars based in Portugal and United States. José Saias's co-authors include Paulo Quaresma, Luís Rato, Pedro Nogueira, Teresa Gonçalves, Anabela Afonso, Paulo Infante, Jorge Sá Silva, Eugénio Oliveira, Alberto Cardoso and Paulo Gil and has published in prestigious journals such as Sustainability, Electronics and ISPRS International Journal of Geo-Information.

In The Last Decade

José Saias

27 papers receiving 208 citations

Peers

José Saias
Comparison fields: 5 of 53
  • Artificial Intelligence 129
  • Safety, Risk, Reliability and Quality 69
  • Building and Construction 69
  • Information Systems 28
  • Automotive Engineering 19
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Han-Guk Ryu South Korea
Joana Abreu United States
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Ermyas Abebe Australia
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Qian Luo China
Lia Toledo Moreira Mota Brazil
Ramón Granell United Kingdom
Yong‐Tae Yoon South Korea
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Citations per field, relative to José Saias
José Saias · 1×
Citations per year, relative to José Saias
José Saias · 1×

Countries citing papers authored by José Saias

Since Specialization
Citations

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

Fields of papers citing papers by José Saias

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of José Saias

This figure shows the co-authorship network connecting the top 25 collaborators of José Saias. A scholar is included among the top collaborators of José Saias 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 José Saias. José Saias 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
# Work Indexed citations
1 1
2 3
3 9
4 2
5 1
6 1
7 22
8 63
9 3
10 6
11 36
12
An Approach to the Main Task of QA4MRE-2013
0
13
senti.ue-en: an approach for informally written short texts in SemEval-2013 Sentiment Analysis task
4
14
In Search of Reputation Assessment: Experiences with Polarity Classification in RepLab 2013.
4
15
DI@UE in CLEF2012: question answering approach to the multiple choice QA4MRE challenge
2
16 8
17
The Senso Question Answering System at QA@CLEF 2008.
3
18
The Senso Question Answering approach to Portuguese QA@CLEF-2007
7
19
The University of Évora approach to QA@CLEF-2004.
5
20 18

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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