Pablo A. Henríquez

685 total citations
25 papers, 478 citations indexed

About

Pablo A. Henríquez is a scholar working on Artificial Intelligence, Sociology and Political Science and Economics and Econometrics. According to data from OpenAlex, Pablo A. Henríquez has authored 25 papers receiving a total of 478 indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Artificial Intelligence, 5 papers in Sociology and Political Science and 5 papers in Economics and Econometrics. Recurrent topics in Pablo A. Henríquez's work include Machine Learning and ELM (7 papers), COVID-19 epidemiological studies (4 papers) and Neural Networks and Applications (4 papers). Pablo A. Henríquez is often cited by papers focused on Machine Learning and ELM (7 papers), COVID-19 epidemiological studies (4 papers) and Neural Networks and Applications (4 papers). Pablo A. Henríquez collaborates with scholars based in Chile, Peru and France. Pablo A. Henríquez's co-authors include Gonzalo A. Ruz, Aldo Mascareño, Diego Winkelried, Marco Billi, Paul H. Délano, Juan C. Maass, Fernando Auat Cheein and Daniela Ponce and has published in prestigious journals such as PLoS ONE, Scientific Reports and BMC Public Health.

In The Last Decade

Pablo A. Henríquez

22 papers receiving 457 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Pablo A. Henríquez Chile 10 249 93 76 39 34 25 478
Carsten Keßler Denmark 13 239 1.0× 53 0.6× 84 1.1× 14 0.4× 27 0.8× 41 715
Suvodeep Mazumdar United Kingdom 13 120 0.5× 46 0.5× 42 0.6× 10 0.3× 40 1.2× 45 417
Özgür Yılmazel Türkiye 11 183 0.7× 21 0.2× 132 1.7× 24 0.6× 21 0.6× 39 388
Tatyana Krivobokova Germany 12 100 0.4× 38 0.4× 24 0.3× 120 3.1× 33 1.0× 27 700
Nur Iriawan Indonesia 9 134 0.5× 21 0.2× 50 0.7× 22 0.6× 80 2.4× 106 393
Arie Wahyu Wijayanto Indonesia 15 72 0.3× 31 0.3× 112 1.5× 41 1.1× 25 0.7× 83 580
Eko Sediyono Indonesia 12 167 0.7× 49 0.5× 276 3.6× 22 0.6× 21 0.6× 170 596
Kristin Stock New Zealand 13 142 0.6× 140 1.5× 60 0.8× 17 0.4× 34 1.0× 42 482
Michael R. Evans United States 11 69 0.3× 63 0.7× 51 0.7× 30 0.8× 36 1.1× 29 441

Countries citing papers authored by Pablo A. Henríquez

Since Specialization
Citations

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

Fields of papers citing papers by Pablo A. Henríquez

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Pablo A. Henríquez. 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 Pablo A. Henríquez. The network helps show where Pablo A. Henríquez may publish in the future.

Co-authorship network of co-authors of Pablo A. Henríquez

This figure shows the co-authorship network connecting the top 25 collaborators of Pablo A. Henríquez. A scholar is included among the top collaborators of Pablo A. Henríquez 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 Pablo A. Henríquez. Pablo A. Henríquez 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.
Henríquez, Pablo A., et al.. (2025). Spatial dynamics and price determinants in the local gasoline retail market: evidence from Greater Santiago. Spatial Economic Analysis. 20(3). 534–557.
2.
Henríquez, Pablo A., et al.. (2025). Decoding risk sentiment in 10-K filings: Predictability for U.S. stock indices. Finance research letters. 81. 107472–107472. 3 indexed citations
3.
4.
Henríquez, Pablo A., et al.. (2024). Analyzing digital societal interactions and sentiment classification in Twitter (X) during critical events in Chile. Heliyon. 10(12). e32572–e32572. 3 indexed citations
5.
Henríquez, Pablo A., et al.. (2024). Assessing the impact of small firm dynamics on public mental health amid the pandemic in Latin America. BMC Public Health. 24(1). 1839–1839.
6.
Henríquez, Pablo A., et al.. (2024). Multimodal Alzheimer’s disease classification through ensemble deep random vector functional link neural network. PeerJ Computer Science. 10. e2590–e2590. 1 indexed citations
7.
Henríquez, Pablo A., et al.. (2023). Population well-being and the COVID-19 vaccination program in Chile: evidence from Google Trends. Public Health. 219. 22–30. 3 indexed citations
8.
Ruz, Gonzalo A., Pablo A. Henríquez, & Aldo Mascareño. (2022). Bayesian Constitutionalization: Twitter Sentiment Analysis of the Chilean Constitutional Process through Bayesian Network Classifiers. Mathematics. 10(2). 166–166. 10 indexed citations
9.
Mascareño, Aldo, et al.. (2022). Drawing constitutional boundaries: A digital historical analysis of the writing process of Pinochet’s 1980 authoritarian constitution. Historical Methods A Journal of Quantitative and Interdisciplinary History. 55(3). 145–167. 2 indexed citations
10.
Henríquez, Pablo A., et al.. (2022). Heterogeneous responses in Google Trends measures of well-being to the COVID-19 dynamic quarantines in Chile. Scientific Reports. 12(1). 14514–14514. 4 indexed citations
11.
Billi, Marco, et al.. (2022). Learning from crises? The long and winding road of the salmon industry in Chiloé Island, Chile. Marine Policy. 140. 105069–105069. 8 indexed citations
12.
Ruz, Gonzalo A., et al.. (2022). Facial biotype classification for orthodontic treatment planning using an alternative learning algorithm for tree augmented Naive Bayes. BMC Medical Informatics and Decision Making. 22(1). 316–316. 7 indexed citations
13.
Maass, Juan C., et al.. (2022). Color Dependence Analysis in a CNN-Based Computer-Aided Diagnosis System for Middle and External Ear Diseases. Diagnostics. 12(4). 917–917. 13 indexed citations
14.
Henríquez, Pablo A., et al.. (2022). Politicians’ willingness to agree: evidence from the interactions in twitter of Chilean deputies. Journal of Information Technology & Politics. 20(1). 92–111. 1 indexed citations
15.
Henríquez, Pablo A., et al.. (2021). Social sentiment segregation: Evidence from Twitter and Google Trends in Chile during the COVID-19 dynamic quarantine strategy. PLoS ONE. 16(7). e0254638–e0254638. 11 indexed citations
16.
Henríquez, Pablo A., et al.. (2021). Stock market volatility and the COVID-19 reproductive number. Research in International Business and Finance. 59. 101517–101517. 29 indexed citations
17.
Mascareño, Aldo, Pablo A. Henríquez, Marco Billi, & Gonzalo A. Ruz. (2020). A Twitter-Lived Red Tide Crisis on Chiloé Island, Chile: What Can Be Obtained for Social-Ecological Research through Social Media Analysis?. Sustainability. 12(20). 8506–8506. 9 indexed citations
18.
Henríquez, Pablo A. & Gonzalo A. Ruz. (2018). Noise reduction for near-infrared spectroscopy data using extreme learning machines. Engineering Applications of Artificial Intelligence. 79. 13–22. 22 indexed citations
19.
Henríquez, Pablo A. & Gonzalo A. Ruz. (2018). Twitter Sentiment Classification Based on Deep Random Vector Functional Link. 1–6. 20 indexed citations
20.
Henríquez, Pablo A. & Gonzalo A. Ruz. (2016). Extreme learning machine with a deterministic assignment of hidden weights in two parallel layers. Neurocomputing. 226. 109–116. 21 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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