David Pinto
- Artificial Intelligence top 1%
- Topic Modeling 52
- Natural Language Processing Techniques 43
- Advanced Text Analysis Techniques 21
- Authorship Attribution and Profiling 13
- Text and Document Classification Technologies 13
- Semantic Web and Ontologies 8
- Speech and dialogue systems 6
- Information Systems top 2%
- Web Data Mining and Analysis 16
- Signal Processing top 10%
David Pinto
97 papers receiving 1.1k citations
Peers
Comparison fields: 5 of 111
- Artificial Intelligence 857
- Information Systems 365
- Management Science and Operations Research 85
- Computer Vision and Pattern Recognition 124
- Signal Processing 62
Countries citing papers authored by David Pinto
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
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
The 25 scholars most cited alongside David Pinto, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2022 | 0 | |
| 2 | 2018 | 1 | |
| 3 | An affinity matrix approach for structure selection of extreme learning machines. | 2015 | 4 |
| 4 | A Graph Based Authorship Identification Approach: Notebook for PAN at CLEF 2015. | 2015 | 2 |
| 5 | Unsupervised Method for the Authorship Identification Task. | 2014 | 8 |
| 6 | Graph Based Approach for the Question Answering Task Based on Entrance Exams. | 2014 | 1 |
| 7 | 2013 | 1 | |
| 8 | A multi-objective proposal for the aggregation of economically inactive population | 2012 | 0 |
| 9 | Information Retrieval and Classification based Approaches for the Sexual Predator Identification. | 2012 | 7 |
| 10 | BUAP: Lexical and Semantic Similarity for Cross-lingual Textual Entailment | 2012 | 4 |
| 11 | On the Difficulty of Clustering Microblog Texts for Online Reputation Management | 2011 | 11 |
| 12 | BUAP: An Unsupervised Approach to Automatic Keyphrase Extraction from Scientific Articles | 2010 | 2 |
| 13 | A Comparative Study of Clustering Algorithms on Narrow-Domain Abstracts | 2006 | 1 |
| 14 | Una nueva ponderación para el modelo de espacio vectorial de recuperación de información | 2005 | 2 |
| 15 | Combining Keyword Identification Techniques | 2005 | 3 |
| 16 | Unsupervised Term Selection using Entropy | 2005 | 2 |
| 17 | Uso del punto de transición en la selección de términos índice para agrupamiento de textos cortos | 2005 | 2 |
| 18 | El párrafo virtual en la generación de extractos | 2005 | 1 |
| 19 | 2004 | 3 | |
| 20 | 2003 | 19 |
About David Pinto
David Pinto is a scholar working on Artificial Intelligence, Information Systems and Development, having authored 111 papers that have together received 1.2k indexed citations. Recurring topics across this work include Topic Modeling (52 papers), Natural Language Processing Techniques (43 papers), Advanced Text Analysis Techniques (21 papers), Web Data Mining and Analysis (16 papers), Authorship Attribution and Profiling (13 papers), Text and Document Classification Technologies (13 papers), Semantic Web and Ontologies (8 papers) and Speech and dialogue systems (6 papers). The work is most often cited by research in Artificial Intelligence (857 citations), Information Systems (365 citations) and Management Science and Operations Research (85 citations). David Pinto has collaborated with scholars based in Mexico, India and Spain. Frequent 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. Their work appears in journals such as Journal of Intelligent & Fuzzy Systems, Scientometrics, Soft Computing, Language Resources and Evaluation and Revista signos.
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.