Alejandro Figueroa
Impact in
- Information Systems top 5%
- Expert finding and Q&A systems
- Recommender Systems and Techniques
- Information Retrieval and Search Behavior
- Artificial Intelligence top 5%
- Topic Modeling
- Natural Language Processing Techniques
- Text and Document Classification Technologies
- Advanced Text Analysis Techniques
Papers in
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- Expert finding and Q&A systems 21
- Information Retrieval and Search Behavior 9
- Web Data Mining and Analysis 7
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- Mobile Crowdsensing and Crowdsourcing 6
- Co-authors
- Günter NeumannJohn AtkinsonMohan TimilsinaOrietta NicolisAndreas EiseltHaixuan YangMathieu d’AquinGonzalo Salas
In The Last Decade
Alejandro Figueroa
44 papers receiving 378 citations
Peers
Comparison fields: 5 of 67
- Information Systems 235
- Artificial Intelligence 313
- Computer Science Applications 45
- Communication 34
- Computer Vision and Pattern Recognition 36
Countries citing papers authored by Alejandro Figueroa
This map shows the geographic impact of Alejandro Figueroa'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 Alejandro Figueroa with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Alejandro Figueroa more than expected).
Fields of papers citing papers by Alejandro Figueroa
This network shows the impact of papers produced by Alejandro Figueroa. 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 Alejandro Figueroa. The network helps show where Alejandro Figueroa may publish in the future.
Co-authors
The 14 scholars most cited alongside Alejandro Figueroa, 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 | 2024 | 1 | |
| 2 | 2023 | 2 | |
| 3 | 2023 | 7 | |
| 4 | 2023 | 3 | |
| 5 | 2023 | 5 | |
| 6 | 2022 | 4 | |
| 7 | 2022 | 6 | |
| 8 | 2022 | 2 | |
| 9 | 2021 | 7 | |
| 10 | 2021 | 16 | |
| 11 | EDiM: Ecosistema Digital Multimedia Plataforma Novedosa de Colaboración y Compartimiento | 2017 | 0 |
| 12 | 2017 | 17 | |
| 13 | 2016 | 8 | |
| 14 | 2015 | 25 | |
| 15 | 2015 | 10 | |
| 16 | A Two-Step Named Entity Recognizer for Open-Domain Search Queries | 2013 | 11 |
| 17 | Un enfoque de lattice basado en semántica para evaluar patrones en tareas de minería de textos | 2013 | 1 |
| 18 | Exploiting User Search Sessions for the Semantic Categorization of Question-like Informational Search Queries | 2013 | 6 |
| 19 | 2012 | 9 | |
| 20 | Derechos politicos y organizacion social . El caso de los yaquis y los mayos | 1993 | 0 |
About Alejandro Figueroa
Alejandro Figueroa is a scholar working on Information Systems, Computer Science Applications, Artificial Intelligence, Communication and Safety Research, having authored 47 papers that have together received 392 indexed citations. Recurring topics across this work include Topic Modeling (35 papers), Expert finding and Q&A systems (21 papers), Natural Language Processing Techniques (11 papers), Information Retrieval and Search Behavior (9 papers), Web Data Mining and Analysis (7 papers), Wikis in Education and Collaboration (7 papers), Mobile Crowdsensing and Crowdsourcing (6 papers) and Speech and dialogue systems (5 papers). The work is most often cited by research in Information Systems (235 citations), Artificial Intelligence (313 citations), Computer Science Applications (45 citations), Communication (34 citations) and Computer Vision and Pattern Recognition (36 citations). Alejandro Figueroa has collaborated with scholars based in Chile, Germany and Ireland. Frequent co-authors include Günter Neumann, John Atkinson, Mohan Timilsina, Orietta Nicolis, Andreas Eiselt, Haixuan Yang, Mathieu d’Aquin, Gonzalo Salas, Miguel Ángel González-Block and Juan Castellanos. Their work appears in journals such as Expert Systems with Applications, IEEE Access, Information Sciences, Engineering Applications of Artificial Intelligence and Knowledge-Based Systems.
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.