David Pinto

2.3k total citations
111 papers, 1.2k citations indexed

About

David Pinto is a scholar working on Artificial Intelligence, Information Systems and Molecular Biology. According to data from OpenAlex, David Pinto has authored 111 papers receiving a total of 1.2k indexed citations (citations by other indexed papers that have themselves been cited), including 80 papers in Artificial Intelligence, 32 papers in Information Systems and 6 papers in Molecular Biology. Recurrent topics in David Pinto's work include Topic Modeling (52 papers), Natural Language Processing Techniques (43 papers) and Advanced Text Analysis Techniques (21 papers). David Pinto is often cited by papers focused on Topic Modeling (52 papers), Natural Language Processing Techniques (43 papers) and Advanced Text Analysis Techniques (21 papers). David Pinto collaborates with scholars based in Mexico, India and Spain. David Pinto's co-authors include Helena Gómez-Adorno, Grigori Sidorov, Alexander Gelbukh, Xing Wei, Andrew McCallum, W. Bruce Croft, Vivek Kumar Singh, Paolo Rosso, Alfons Juan and Ashraf Uddin and has published in prestigious journals such as SHILAP Revista de lepidopterología, Sensors and Pattern Recognition Letters.

In The Last Decade

David Pinto

97 papers receiving 1.1k citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
David Pinto Mexico 18 857 365 124 85 78 111 1.2k
James G. Shanahan United States 10 599 0.7× 299 0.8× 80 0.6× 67 0.8× 108 1.4× 34 901
Ted Dunning United States 10 1.4k 1.6× 385 1.1× 123 1.0× 71 0.8× 111 1.4× 16 2.0k
Zuhair Bandar United Kingdom 16 1.4k 1.7× 436 1.2× 106 0.9× 76 0.9× 116 1.5× 59 1.8k
Jacqueline Bourdeau Canada 10 526 0.6× 419 1.1× 109 0.9× 66 0.8× 92 1.2× 37 923
Chris Welty United States 14 1.2k 1.4× 377 1.0× 157 1.3× 116 1.4× 129 1.7× 52 1.5k
Valentina Presutti Italy 18 816 1.0× 359 1.0× 96 0.8× 138 1.6× 159 2.0× 99 1.1k
Ting Liu China 20 1.6k 1.8× 256 0.7× 281 2.3× 87 1.0× 42 0.5× 95 2.0k
Felisa Verdejo Spain 18 998 1.2× 413 1.1× 166 1.3× 102 1.2× 95 1.2× 100 1.5k
Suppawong Tuarob Thailand 22 680 0.8× 342 0.9× 128 1.0× 119 1.4× 42 0.5× 75 1.2k
Jennifer Chu‐Carroll United States 23 1.7k 2.0× 410 1.1× 189 1.5× 118 1.4× 78 1.0× 59 2.0k

Countries citing papers authored by David Pinto

Since Specialization
Citations

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

Fields of papers citing papers by David Pinto

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of David Pinto

This figure shows the co-authorship network connecting the top 25 collaborators of David Pinto. A scholar is included among the top collaborators of David Pinto 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 David Pinto. David Pinto 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
1.
Pinto, David, et al.. (2018). Compositionality versus non-compositionality verification based on lexical domain for verbal phraseological units. Journal of Intelligent & Fuzzy Systems. 34(5). 3059–3067. 1 indexed citations
2.
Gómez-Adorno, Helena, et al.. (2017). Author Clustering using Hierarchical Clustering Analysis.. CLEF (Working Notes). 6 indexed citations
3.
Gómez-Adorno, Helena, Grigori Sidorov, David Pinto, & Ilia Markov. (2015). A Graph Based Authorship Identification Approach: Notebook for PAN at CLEF 2015.. CLEF (Working Notes). 2 indexed citations
4.
Gómez-Adorno, Helena, Grigori Sidorov, David Pinto, & Alexander Gelbukh. (2014). Graph Based Approach for the Question Answering Task Based on Entrance Exams.. CLEF (Working Notes). 1395–1403. 1 indexed citations
5.
Pinto, David, et al.. (2014). Unsupervised Method for the Authorship Identification Task.. CLEF (Working Notes). 1035–1041. 8 indexed citations
6.
Cardiff, John, et al.. (2014). Weblog and short text feature extraction and impact on categorisation. Journal of Intelligent & Fuzzy Systems. 27(5). 2529–2544. 2 indexed citations
7.
Pinto, David, et al.. (2013). BUAP: N-gram based Feature Evaluation for the Cross-Lingual Textual Entailment Task. Joint Conference on Lexical and Computational Semantics. 124–127. 3 indexed citations
8.
Gómez-Adorno, Helena, et al.. (2013). Semantic Answer Validation in Question Answering Systems for Reading Comprehension Tests.. 1 indexed citations
9.
Pinto, David, et al.. (2013). Two Methodologies Applied to the Author Profiling Task.. CLEF (Working Notes). 3 indexed citations
10.
Pinto, David, et al.. (2013). Lexical-Syntactic and Graph-Based Features for Authorship Verification Notebook for PAN at CLEF 2013.. CLEF (Working Notes). 3 indexed citations
11.
Pinto, David, et al.. (2012). BUAP: Lexical and Semantic Similarity for Cross-lingual Textual Entailment. Joint Conference on Lexical and Computational Semantics. 706–709. 4 indexed citations
12.
Pinto, David, et al.. (2012). FCC: Three Approaches for Semantic Textual Similarity. Joint Conference on Lexical and Computational Semantics. 631–634. 4 indexed citations
13.
Pinto, David, et al.. (2012). Information Retrieval and Classification based Approaches for the Sexual Predator Identification.. 7 indexed citations
14.
Pinto, David, et al.. (2011). On the Difficulty of Clustering Microblog Texts for Online Reputation Management. Meeting of the Association for Computational Linguistics. 146–152. 11 indexed citations
15.
Pinto, David, et al.. (2010). BUAP: An Unsupervised Approach to Automatic Keyphrase Extraction from Scientific Articles. Meeting of the Association for Computational Linguistics. 174–177. 2 indexed citations
16.
Pinto, David, et al.. (2010). FCC: Modeling Probabilities with GIZA++ for Task 2 and 3 of SemEval-2. Meeting of the Association for Computational Linguistics. 112–116. 3 indexed citations
17.
Barrón‐Cedeño, Alberto, Paolo Rosso, David Pinto, & Alfons Juan. (2008). On cross-lingual plagiarism analysis using a statistical model. European Conference on Artificial Intelligence. 53. 9–14. 42 indexed citations
18.
Pinto, David, et al.. (2005). TPIRS: A System for Document Indexing Reduction on WebCLEF.. CLEF (Working Notes).
19.
Pinto, David, et al.. (2005). Uso del punto de transición en la selección de términos índice para agrupamiento de textos cortos. Procesamiento del lenguaje natural. 35(35). 383–390. 2 indexed citations
20.
Pinto, David, et al.. (2005). El párrafo virtual en la generación de extractos. Research in computing science. 13. 83–90. 1 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.

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