Horacio Saggion

5.8k total citations
172 papers, 3.0k citations indexed

About

Horacio Saggion is a scholar working on Artificial Intelligence, Information Systems and Computer Vision and Pattern Recognition. According to data from OpenAlex, Horacio Saggion has authored 172 papers receiving a total of 3.0k indexed citations (citations by other indexed papers that have themselves been cited), including 153 papers in Artificial Intelligence, 21 papers in Information Systems and 15 papers in Computer Vision and Pattern Recognition. Recurrent topics in Horacio Saggion's work include Natural Language Processing Techniques (106 papers), Topic Modeling (90 papers) and Advanced Text Analysis Techniques (44 papers). Horacio Saggion is often cited by papers focused on Natural Language Processing Techniques (106 papers), Topic Modeling (90 papers) and Advanced Text Analysis Techniques (44 papers). Horacio Saggion collaborates with scholars based in Spain, United Kingdom and United States. Horacio Saggion's co-authors include Francesco Barbieri, Francesco Ronzano, Stefan Bott, Guy Lapalme, Sanja Štajner, Luz Rello, Luis Espinosa-Anke, Miguel Ballesteros, Hamish Cunningham and Kalina Bontcheva and has published in prestigious journals such as Expert Systems with Applications, Knowledge-Based Systems and Scientometrics.

In The Last Decade

Horacio Saggion

159 papers receiving 2.7k citations

Peers

Horacio Saggion
Comparison fields: 5 of 96
  • Artificial Intelligence 2.6k
  • Information Systems 359
  • Human-Computer Interaction 258
  • Molecular Biology 198
  • Computer Vision and Pattern Recognition 164
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Citations per field, relative to Horacio Saggion
Horacio Saggion · 1×
Citations per year, relative to Horacio Saggion
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Countries citing papers authored by Horacio Saggion

Since Specialization
Citations

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

Fields of papers citing papers by Horacio Saggion

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Horacio Saggion

This figure shows the co-authorship network connecting the top 25 collaborators of Horacio Saggion. A scholar is included among the top collaborators of Horacio Saggion 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 Horacio Saggion. Horacio Saggion 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 0
2 0
3 0
4 2
5 1
6 17
7 42
8 89
9
Spanish Morphological Generation with Wide-Coverage Lexicons and Decision Trees
3
10
What does this emoji mean? A vector space skip-gram model for twitter emojis
76
11
Is this Tweet Satirical? A Computational Approach for Satire Detection in Spanish
15
12 59
13
Unsupervised Content Discovery from Concise Summaries
1
14
Can Spanish Be Simpler? LexSiS: Lexical Simplification for Spanish
72
15
Text Simplification Tools for Spanish
16
16
NLP resources for the analysis of patient / therapist interviews
1
17
SUMMA. A Robust and Adaptable Summarization Tool.
32
18
Experiments on Semantic-based Clustering for Cross-document Coreference
8
19
Identifying Definitions in Text Collections for Question Answering.
27
20
Selective analysis for automatic abstracting: evaluating indicativeness and acceptability
13

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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