João Barroso

3.0k total citations
137 papers, 1.1k citations indexed

About

João Barroso is a scholar working on Computer Vision and Pattern Recognition, Cognitive Neuroscience and Artificial Intelligence. According to data from OpenAlex, João Barroso has authored 137 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 34 papers in Computer Vision and Pattern Recognition, 22 papers in Cognitive Neuroscience and 17 papers in Artificial Intelligence. Recurrent topics in João Barroso's work include Tactile and Sensory Interactions (22 papers), Context-Aware Activity Recognition Systems (15 papers) and IoT and Edge/Fog Computing (12 papers). João Barroso is often cited by papers focused on Tactile and Sensory Interactions (22 papers), Context-Aware Activity Recognition Systems (15 papers) and IoT and Edge/Fog Computing (12 papers). João Barroso collaborates with scholars based in Portugal, Greece and United States. João Barroso's co-authors include Hugo Fernandes, Vítor Filipe, Hugo Paredes, Paulo Manuel Costa, Arsénio Reis, Paulo Martins, Ántónio Pereira, Jo�ão Varaj�ão, José Bulas‐Cruz and António Trigo and has published in prestigious journals such as SHILAP Revista de lepidopterología, IEEE Access and Sensors.

In The Last Decade

João Barroso

114 papers receiving 1.0k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
João Barroso Portugal 18 382 276 223 142 113 137 1.1k
Jun Gong China 23 461 1.2× 291 1.1× 641 2.9× 76 0.5× 122 1.1× 127 1.8k
Silvia Mirri Italy 24 156 0.4× 326 1.2× 197 0.9× 142 1.0× 278 2.5× 147 1.7k
Paola Salomoni Italy 27 157 0.4× 377 1.4× 265 1.2× 139 1.0× 271 2.4× 134 1.9k
Michael C. Dorneich United States 19 169 0.4× 121 0.4× 243 1.1× 47 0.3× 200 1.8× 208 1.5k
Enrico Costanza United Kingdom 19 263 0.7× 383 1.4× 738 3.3× 130 0.9× 171 1.5× 79 1.4k
Hugo Paredes Portugal 14 209 0.5× 174 0.6× 247 1.1× 72 0.5× 73 0.6× 118 768
Azam Khan Canada 25 313 0.8× 905 3.3× 739 3.3× 352 2.5× 149 1.3× 106 1.9k
Víctor M. R. Penichet Spain 16 147 0.4× 178 0.6× 208 0.9× 30 0.2× 89 0.8× 88 894
Sabina Jeschke Germany 18 127 0.3× 145 0.5× 80 0.4× 89 0.6× 244 2.2× 228 2.0k
Nikolaos Mavridis United States 18 143 0.4× 339 1.2× 105 0.5× 50 0.4× 521 4.6× 71 1.8k

Countries citing papers authored by João Barroso

Since Specialization
Citations

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

Fields of papers citing papers by João Barroso

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of João Barroso

This figure shows the co-authorship network connecting the top 25 collaborators of João Barroso. A scholar is included among the top collaborators of João Barroso 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 João Barroso. João Barroso 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.
Barbosa, Luís, et al.. (2025). Machine Learning for Decision Support and Automation in Games: A Study on Vehicle Optimal Path. Algorithms. 18(2). 106–106.
2.
Pinto, Tiago, et al.. (2025). Context-Aware Systems Architecture in Industry 4.0: A Systematic Literature Review. Applied Sciences. 15(11). 5863–5863.
3.
Soares, Salviano, et al.. (2025). High-resolution portable bluetooth module for ECG and EMG acquisition. Computational and Structural Biotechnology Journal. 28. 156–166.
4.
Mamede, Henrique São, et al.. (2025). Beyond algorithms: Artificial intelligence driven talent identification with human insight. Intelligent Systems with Applications. 28. 200604–200604.
5.
Mamede, Henrique São, et al.. (2023). Artificial intelligence applied to potential assessment and talent identification in an organisational context. Heliyon. 9(4). e14694–e14694. 37 indexed citations
6.
Pires, E. J. Solteiro, et al.. (2022). Forecasting Students Dropout: A UTAD University Study. Future Internet. 14(3). 76–76. 13 indexed citations
7.
Reis, Arsénio, et al.. (2021). Web AR Solution for UAV Pilot Training and Usability Testing. Sensors. 21(4). 1456–1456. 15 indexed citations
8.
Fuentes, Daniel, et al.. (2021). SAR.IoT: Secured Augmented Reality for IoT Devices Management. Sensors. 21(18). 6001–6001. 5 indexed citations
9.
Fuentes, Daniel, Nuno Costa, Arsénio Reis, et al.. (2021). IndoorCare: Low-Cost Elderly Activity Monitoring System through Image Processing. Sensors. 21(18). 6051–6051. 3 indexed citations
10.
Fuentes, Daniel, Nuno Costa, Arsénio Reis, et al.. (2021). Usability of Smartbands by the Elderly Population in the Context of Ambient Assisted Living Applications. Electronics. 10(14). 1617–1617. 11 indexed citations
11.
Barroso, João, et al.. (2016). Rewritting Data Cleaning Operations Defined at a Conceptual Level.. ICIQ. 209–219. 1 indexed citations
12.
Cruz, Gonçalo, et al.. (2015). Toward Educational Virtual Worlds: Should Identity Federation Be a Concern?. Educational Technology & Society. 18(1). 27–36. 4 indexed citations
13.
Faria, J. A. Brandão, Hugo Fernandes, Ramiro Gonçalves, et al.. (2012). GREENBOX: A management system for used cooking oils collection. World Automation Congress. 1–6. 3 indexed citations
14.
Barroso, João & Luís Miguel Carvalho. (2012). Knowledge and regulatory processes in health and education policies. Portuguese National Funding Agency for Science, Research and Technology (RCAAP Project by FCT). 6 indexed citations
15.
Fernandes, Hugo, Paulo Manuel Costa, Vítor Filipe, Leontios J. Hadjileontiadis, & João Barroso. (2010). Stereo vision in blind navigation assistance. Portuguese National Funding Agency for Science, Research and Technology (RCAAP Project by FCT). 1–6. 32 indexed citations
16.
Silva, José Silvestre, et al.. (2010). Statistical textural features for classification of lung emphysema in CT images: A comparative study. Iberian Conference on Information Systems and Technologies. 1–5. 12 indexed citations
17.
Lopes, Isabel da Silva, et al.. (2009). Torcicolo Muscular Congénito: A Propósito de Um Caso Clínico. Portuguese National Funding Agency for Science, Research and Technology (RCAAP Project by FCT).
18.
Gonçalves, Ramiro, João Barroso, Jo�ão Varaj�ão, & José Bulas‐Cruz. (2008). A model of electronic commerce initiatives in portuguese organizations. Interciencia. 33(2). 120–128. 2 indexed citations
19.
Barroso, João, et al.. (2008). Modelo de las iniciativas del comercio electrónico en organizaciones portuguesas. Interciencia. 33(2). 120–128. 1 indexed citations
20.
Barroso, João, et al.. (1999). Identificação Automática de Placas de Matrícula Automóveis. Portuguese National Funding Agency for Science, Research and Technology (RCAAP Project by FCT). 2(5). 636–637.

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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