Paulo Nováis

6.9k total citations
268 papers, 2.4k citations indexed

About

Paulo Nováis is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Social Psychology. According to data from OpenAlex, Paulo Nováis has authored 268 papers receiving a total of 2.4k indexed citations (citations by other indexed papers that have themselves been cited), including 98 papers in Artificial Intelligence, 58 papers in Computer Vision and Pattern Recognition and 29 papers in Social Psychology. Recurrent topics in Paulo Nováis's work include Context-Aware Activity Recognition Systems (41 papers), Multi-Agent Systems and Negotiation (37 papers) and Semantic Web and Ontologies (19 papers). Paulo Nováis is often cited by papers focused on Context-Aware Activity Recognition Systems (41 papers), Multi-Agent Systems and Negotiation (37 papers) and Semantic Web and Ontologies (19 papers). Paulo Nováis collaborates with scholars based in Portugal, Spain and Brazil. Paulo Nováis's co-authors include José Neves, Davide Carneiro, Ângelo Costa, Goreti Marreiros, João Carneiro, Antonio Fernández‐Caballero, Vicente Julián, José Carlos Castillo, César Analide and José Machado and has published in prestigious journals such as SHILAP Revista de lepidopterología, Expert Systems with Applications and IEEE Access.

In The Last Decade

Paulo Nováis

250 papers receiving 2.3k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Paulo Nováis Portugal 24 720 468 269 246 216 268 2.4k
Kok Wai Wong Australia 24 798 1.1× 547 1.2× 429 1.6× 92 0.4× 297 1.4× 216 3.3k
Daswin De Silva Australia 25 836 1.2× 317 0.7× 189 0.7× 251 1.0× 317 1.5× 121 2.2k
Jin-Hyuk Hong South Korea 20 349 0.5× 480 1.0× 164 0.6× 202 0.8× 270 1.3× 80 1.6k
Zahid Halim Pakistan 26 849 1.2× 353 0.8× 414 1.5× 514 2.1× 235 1.1× 119 2.2k
Boyang Li China 22 934 1.3× 529 1.1× 285 1.1× 172 0.7× 143 0.7× 165 2.0k
Alessandro De Gloria Italy 25 443 0.6× 456 1.0× 270 1.0× 285 1.2× 339 1.6× 148 2.7k
Flora D. Salim Australia 27 541 0.8× 468 1.0× 169 0.6× 222 0.9× 400 1.9× 199 2.6k
Jorge Luís Victória Barbosa Brazil 31 641 0.9× 735 1.6× 805 3.0× 508 2.1× 209 1.0× 327 3.6k
Philip Moore United Kingdom 27 395 0.5× 389 0.8× 179 0.7× 203 0.8× 137 0.6× 170 2.7k
Charles M. Eastman United States 44 676 0.9× 363 0.8× 364 1.4× 336 1.4× 109 0.5× 167 8.3k

Countries citing papers authored by Paulo Nováis

Since Specialization
Citations

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

Fields of papers citing papers by Paulo Nováis

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Paulo Nováis

This figure shows the co-authorship network connecting the top 25 collaborators of Paulo Nováis. A scholar is included among the top collaborators of Paulo Nováis 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 Paulo Nováis. Paulo Nováis 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.
Castrillón, Ómar Danilo & Paulo Nováis. (2025). Selección efectiva de características en el desempeño docente por medio de técnicas de inteligencia artificial. Formación universitaria. 18(4). 85–96.
2.
Alves, Carlos, Hugo Peixoto, Dalila Durães, et al.. (2024). Revolutionising the Quality of Life: The Role of Real-Time Sensing in Smart Cities. Electronics. 13(3). 550–550. 9 indexed citations
3.
Aveleira‐Mata, José, Esteban Jove, Paulo Nováis, et al.. (2023). A novel intelligent approach for man‐in‐the‐middle attacks detection over internet of things environments based on message queuing telemetry transport. Expert Systems. 41(2). 17 indexed citations
4.
Martins, Helena, et al.. (2023). Group recommender systems for tourism: how does personality predict preferences for attractions, travel motivations, preferences and concerns?. User Modeling and User-Adapted Interaction. 33(5). 1141–1210. 15 indexed citations
5.
Nováis, Paulo, et al.. (2023). Improving Group Recommendations using Personality, Dynamic Clustering and Multi-Agent MicroServices. RepositóriUM (Universidade do Minho). 1165–1168.
6.
Carneiro, João, et al.. (2022). Anomaly Detection on Natural Language Processing to Improve Predictions on Tourist Preferences. Electronics. 11(5). 779–779. 8 indexed citations
7.
Aláiz‐Moretón, Héctor, María Teresa Garcí­a-Ordás, José Alberto Benítez‐Andrades, et al.. (2021). Middleware-based multi-agent development environment for building and testing distributed intelligent systems. Cluster Computing. 24(3). 2313–2325. 1 indexed citations
8.
Carneiro, João, et al.. (2020). A Consensus-based Group Decision Support System using a Multi-Agent MicroServices Approach: Demonstration. Adaptive Agents and Multi-Agents Systems. 2098–2100. 1 indexed citations
9.
Carneiro, João, et al.. (2020). A Multiple Criteria Decision Analysis Framework for Dispersed Group Decision-Making Contexts. Applied Sciences. 10(13). 4614–4614. 6 indexed citations
10.
García, Arturo S., et al.. (2020). Virtual Reality Simulation of a Quadrotor to Monitor Dependent People at Home. IEEE Transactions on Emerging Topics in Computing. 9(3). 1301–1315. 6 indexed citations
11.
Aláiz‐Moretón, Héctor, Esteban Jove, José‐Luis Casteleiro‐Roca, et al.. (2019). Bioinspired Hybrid Model to Predict the Hydrogen Inlet Fuel Cell Flow Change of an Energy Storage System. Processes. 7(11). 825–825. 5 indexed citations
12.
Casado‐Vara, Roberto, Paulo Nováis, Ana Belén Gil González, Javier Prieto, & Juan M. Corchado. (2019). Distributed Continuous-Time Fault Estimation Control for Multiple Devices in IoT Networks. IEEE Access. 7. 11972–11984. 32 indexed citations
13.
Canizes, Bruno, João Soares, Ângelo Costa, et al.. (2019). Electric Vehicles’ User Charging Behaviour Simulator for a Smart City. Energies. 12(8). 1470–1470. 59 indexed citations
14.
Satoh, Ken, et al.. (2018). Argumentation with Goals for Clinical Decision Support in Multimorbidity. Open Repository and Bibliography (University of Luxembourg). 2031–2033. 5 indexed citations
15.
Soares, Filomena, et al.. (2018). Developing a framework for promoting physical activity in a Boccia game scenario. Computer Methods in Biomechanics and Biomedical Engineering Imaging & Visualization. 7(5-6). 632–642. 1 indexed citations
16.
Carneiro, João, et al.. (2016). Generation of intelligent reports for ubiquitous group decision support systems. RepositóriUM (Universidade do Minho). 1–6. 3 indexed citations
17.
Rebelo, António, João Alves, Goreti Marreiros, et al.. (2015). Prototyping teams of affective agents in robocode. RepositóriUM (Universidade do Minho). 15(1). 102–112. 1 indexed citations
18.
Carneiro, Davide, et al.. (2010). Sistema de resolução online de conflito para partilhas de bens : divórcios e heranças. RepositóriUM (Universidade do Minho). 11. 445–54. 1 indexed citations
19.
Marreiros, Goreti, Ricardo Santos, Carlos Ramos, et al.. (2007). Ambient intelligence in emotion based ubiquitous decision making. RepositóriUM (Universidade do Minho). 21 indexed citations
20.
Neves, José, et al.. (2001). Temporality, Priorities and Delegation in an E-Commerce Environment. Journal of the Association for Information Systems. 38. 2 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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