Roberto Henriques

1.6k total citations · 1 hit paper
70 papers, 953 citations indexed

About

Roberto Henriques is a scholar working on Artificial Intelligence, Computer Science Applications and Education. According to data from OpenAlex, Roberto Henriques has authored 70 papers receiving a total of 953 indexed citations (citations by other indexed papers that have themselves been cited), including 21 papers in Artificial Intelligence, 14 papers in Computer Science Applications and 10 papers in Education. Recurrent topics in Roberto Henriques's work include Online Learning and Analytics (11 papers), Data Management and Algorithms (6 papers) and Data Mining Algorithms and Applications (4 papers). Roberto Henriques is often cited by papers focused on Online Learning and Analytics (11 papers), Data Management and Algorithms (6 papers) and Data Mining Algorithms and Applications (4 papers). Roberto Henriques collaborates with scholars based in Portugal, Brazil and Czechia. Roberto Henriques's co-authors include Petr Hájek, Mauro Castelli, Victor Lobo, Vladimir Trajkovik, Fernando Bação, Ana Cristina Costa, Leonardo Vanneschi, Jorge Mateu, João Guerreiro and A.I.A. Costa and has published in prestigious journals such as SHILAP Revista de lepidopterología, PLoS ONE and Scientific Reports.

In The Last Decade

Roberto Henriques

60 papers receiving 912 citations

Hit Papers

Generative AI for Customizable Learning Experiences 2024 2026 2025 2024 25 50 75

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Roberto Henriques Portugal 17 318 121 116 108 98 70 953
Dries F. Benoit Belgium 22 321 1.0× 94 0.8× 73 0.6× 117 1.1× 133 1.4× 38 1.2k
Claudia Perlich United States 20 587 1.8× 60 0.5× 98 0.8× 232 2.1× 319 3.3× 52 1.5k
Andreas S. Andreou Cyprus 21 376 1.2× 127 1.0× 102 0.9× 177 1.6× 408 4.2× 108 1.3k
Bo Dong China 18 399 1.3× 73 0.6× 87 0.8× 51 0.5× 552 5.6× 111 1.6k
Jin‐Xing Hao China 12 681 2.1× 48 0.4× 198 1.7× 76 0.7× 235 2.4× 37 1.4k
Quang Hung Vietnam 15 165 0.5× 61 0.5× 24 0.2× 165 1.5× 106 1.1× 53 854
Sheng-Tun Li Taiwan 21 527 1.7× 200 1.7× 48 0.4× 450 4.2× 233 2.4× 91 1.5k
M. Ángeles Martínez Spain 12 127 0.4× 221 1.8× 44 0.4× 116 1.1× 92 0.9× 16 1.2k
Bogumił Kamiński Poland 18 215 0.7× 101 0.8× 153 1.3× 105 1.0× 85 0.9× 77 1.4k
Hongbing Jiang China 9 236 0.7× 33 0.3× 195 1.7× 73 0.7× 74 0.8× 20 595

Countries citing papers authored by Roberto Henriques

Since Specialization
Citations

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

Fields of papers citing papers by Roberto Henriques

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Roberto Henriques

This figure shows the co-authorship network connecting the top 25 collaborators of Roberto Henriques. A scholar is included among the top collaborators of Roberto Henriques 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 Roberto Henriques. Roberto Henriques 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.
Henriques, Roberto, et al.. (2024). Decoding Student Success in Higher Education: A Comparative Study on Learning Strategies of Undergraduate and Graduate Students. Studia paedagogica. 28(3). 59–87. 1 indexed citations
2.
Henriques, Roberto, et al.. (2024). CHATGPT IN EXAM ROOMS: PRELIMINARY INSIGHTS INTO STUDENT PERFORMANCE WITH AND WITHOUT AI ASSISTANCE. EDULEARN proceedings. 1. 5908–5914. 1 indexed citations
3.
Henriques, Roberto, et al.. (2024). PREDICTING BOOTCAMP SUCCESS: USING REGRESSION TO LEVERAGE PREPARATORY COURSE DATA FOR TECH CAREER TRANSITIONS. EDULEARN proceedings. 1. 6181–6190. 2 indexed citations
4.
Henriques, Roberto, et al.. (2024). Generative AI for Customizable Learning Experiences. Sustainability. 16(7). 3034–3034. 88 indexed citations breakdown →
6.
Henriques, Roberto, et al.. (2023). Accurate, timely, and portable: Course-agnostic early prediction of student performance from LMS logs. Computers and Education Artificial Intelligence. 5. 100175–100175. 8 indexed citations
7.
Henriques, Roberto, et al.. (2023). COURSE-AGNOSTIC EARLY IDENTIFICATION OF STUDENTS AT RISK FROM MOODLE ACTIVITY PATTERNS. INTED proceedings. 1. 4585–4592.
8.
Pinto, Fausto J., et al.. (2023). Machine learning prediction of mortality in Acute Myocardial Infarction. BMC Medical Informatics and Decision Making. 23(1). 70–70. 34 indexed citations
9.
Henriques, Roberto, et al.. (2023). Machine Learning applied to student attentiveness detection: Using emotional and non-emotional measures. Education and Information Technologies. 28(12). 15717–15737. 5 indexed citations
10.
Coelho, Pedro S., et al.. (2023). The Value of Design Thinking for PhD Students: A Retrospective Longitudinal Study. Emerging Science Journal. 7. 16–31. 3 indexed citations
11.
Henriques, Roberto, et al.. (2023). Educational Data Mining to Predict Bachelors Students’ Success. Emerging Science Journal. 7. 159–171. 3 indexed citations
12.
Henriques, Roberto, et al.. (2022). TripMD. Universidade Nova de Lisboa's Repository (Universidade Nova de Lisboa). 5 indexed citations
13.
Henriques, Roberto, et al.. (2022). A stacking-based artificial intelligence framework for an effective detection and localization of colon polyps. Scientific Reports. 12(1). 17678–17678. 5 indexed citations
14.
Vanneschi, Leonardo, Roberto Henriques, Mauro Castelli, et al.. (2021). Object detection for automatic cancer cell counting in zebrafish xenografts. PLoS ONE. 16(11). e0260609–e0260609. 11 indexed citations
15.
Beretta, Stefano, Mauro Castelli, Ivo Gonçalves, Roberto Henriques, & Daniele Ramazzotti. (2018). Learning the Structure of Bayesian Networks: A Quantitative Assessment of the Effect of Different Algorithmic Schemes. Complexity. 2018(1). 32 indexed citations
16.
Hájek, Petr & Roberto Henriques. (2017). Modelling innovation performance of European regions using multi-output neural networks. PLoS ONE. 12(10). e0185755–e0185755. 26 indexed citations
17.
Henriques, Roberto, et al.. (2016). Online courses offered in Brazil: mapping the latest years' context. Headache The Journal of Head and Face Pain. 244–252. 1 indexed citations
18.
Paìnho, Marco, et al.. (2014). A Decision Support System for the Public Transportation Sector: the SIGGESC Project. 11.
19.
Neto, Miguel de Castro, et al.. (2013). Text Mining: Sentiment analysis on news classification. Iberian Conference on Information Systems and Technologies. 1–6. 8 indexed citations
20.
Paìnho, Marco, et al.. (2012). Sistema de Indicadores de Transportes Colectivos de Passageiros: uma abordagem geográfica. SHILAP Revista de lepidopterología. 38(75). 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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