Filipe Portela

1.7k total citations
100 papers, 571 citations indexed

About

Filipe Portela is a scholar working on Management Information Systems, Health Information Management and Surgery. According to data from OpenAlex, Filipe Portela has authored 100 papers receiving a total of 571 indexed citations (citations by other indexed papers that have themselves been cited), including 26 papers in Management Information Systems, 24 papers in Health Information Management and 22 papers in Surgery. Recurrent topics in Filipe Portela's work include Healthcare Technology and Patient Monitoring (20 papers), Big Data and Business Intelligence (20 papers) and Artificial Intelligence in Healthcare (16 papers). Filipe Portela is often cited by papers focused on Healthcare Technology and Patient Monitoring (20 papers), Big Data and Business Intelligence (20 papers) and Artificial Intelligence in Healthcare (16 papers). Filipe Portela collaborates with scholars based in Portugal, United States and Brazil. Filipe Portela's co-authors include Manuel Filipe Santos, José Machado, António Abelha, Fernando Rua, Álvaro Silva, José Neves, João Gomes, Ana Pereira, Tiago Guimarães and Felipe Dutra Rêgo and has published in prestigious journals such as International Journal of Environmental Research and Public Health, Future Internet and Concurrency and Computation Practice and Experience.

In The Last Decade

Filipe Portela

91 papers receiving 534 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Filipe Portela Portugal 12 142 126 114 99 73 100 571
Lokesh Sharma India 6 229 1.6× 236 1.9× 104 0.9× 123 1.2× 23 0.3× 20 936
António Abelha Portugal 14 307 2.2× 257 2.0× 115 1.0× 151 1.5× 98 1.3× 154 921
George Vassilacopoulos Greece 14 121 0.9× 102 0.8× 145 1.3× 196 2.0× 25 0.3× 79 674
Tony Sahama Australia 14 203 1.4× 161 1.3× 80 0.7× 177 1.8× 128 1.8× 113 940
Alfred Winter Germany 14 324 2.3× 100 0.8× 182 1.6× 131 1.3× 31 0.4× 90 743
Giordano Lanzola Italy 18 146 1.0× 184 1.5× 75 0.7× 65 0.7× 152 2.1× 55 862
Szymon Wilk Poland 19 213 1.5× 447 3.5× 63 0.6× 113 1.1× 36 0.5× 81 986
Martin Sedlmayr Germany 16 200 1.4× 182 1.4× 40 0.4× 101 1.0× 49 0.7× 111 984
Omar Hussein Salman Iraq 10 157 1.1× 108 0.9× 33 0.3× 108 1.1× 41 0.6× 23 711
Marco Eichelberg Germany 14 175 1.2× 221 1.8× 36 0.3× 119 1.2× 53 0.7× 72 930

Countries citing papers authored by Filipe Portela

Since Specialization
Citations

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

Fields of papers citing papers by Filipe Portela

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Filipe Portela

This figure shows the co-authorship network connecting the top 25 collaborators of Filipe Portela. A scholar is included among the top collaborators of Filipe Portela 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 Filipe Portela. Filipe Portela 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.
Portela, Filipe, et al.. (2024). Toward an Enterprise Gamification System to Motivate Human Resources in IT Companies. Information. 15(1). 26–26. 4 indexed citations
2.
Portela, Filipe. (2021). Data Science and Knowledge Discovery. Future Internet. 13(7). 178–178. 2 indexed citations
3.
Portela, Filipe. (2020). A New and Interactive Teaching Approach with Gamification for Motivating Students in Computer Science Classrooms. DROPS (Schloss Dagstuhl – Leibniz Center for Informatics). 12. 8 indexed citations
4.
Portela, Filipe, et al.. (2019). Towards the Development of a Data Science Modular Solution. 96–103. 2 indexed citations
5.
Portela, Filipe, et al.. (2018). Improving Pervasive Decision Support System in Critical Care by using Technology Acceptance Model. Procedia Computer Science. 141. 513–518. 9 indexed citations
6.
Pereira, Ana, Filipe Portela, Manuel Filipe Santos, et al.. (2017). Pervasive Business Intelligence in Intensive Medicine - An Overview of a Clinical Solution. 37–41.
7.
Portela, Filipe, et al.. (2016). Regression Models of the Nuclear Power Unit VVER-1000 Using Data Mining Techniques. Procedia Computer Science. 100. 253–262. 9 indexed citations
8.
Portela, Filipe, et al.. (2016). A Benchmarking Analysis of Open-Source Business Intelligence Tools in Healthcare Environments. Information. 7(4). 57–57. 16 indexed citations
9.
Portela, Filipe, Manuel Filipe Santos, António Abelha, et al.. (2015). Predict hourly patient discharge probability in Intensive Care Units using Data Mining. Indian Journal of Science and Technology. 8(32). 7 indexed citations
10.
Guimarães, Tiago, et al.. (2015). Step towards Multiplatform Framework for Supporting Pediatric and Neonatology Care Unit Decision Process. Procedia Computer Science. 63. 561–568. 1 indexed citations
11.
Portela, Filipe, et al.. (2015). Predicting Type of Delivery by Identification of Obstetric Risk Factors through Data Mining. Procedia Computer Science. 64. 601–609. 38 indexed citations
12.
Silva, João Pedro, Filipe Portela, Manuel Filipe Santos, & María do Céu Taveira. (2014). INTELLIGENT DECISION SUPPORT FOR UNIVERSITY APPLICATION USING RIASEC CODES. RepositóriUM (Universidade do Minho). 7231–7241. 1 indexed citations
13.
Portela, Filipe, et al.. (2014). Business intelligence in maternity care. 352–355. 4 indexed citations
14.
Portela, Filipe, Manuel Filipe Santos, Álvaro Silva, et al.. (2013). Adoption of Pervasive Intelligent Information Systems in Intensive Medicine. Procedia Technology. 9. 1022–1032. 6 indexed citations
15.
Portela, Filipe, Manuel Filipe Santos, Álvaro Silva, et al.. (2013). Data Mining for Real-Time Intelligent Decision Support System in Intensive Care Medicine. 270–276. 3 indexed citations
16.
Portela, Filipe, Manuel Filipe Santos, Álvaro Silva, et al.. (2011). Enabling real-time intelligent decision support in intensive care. RepositóriUM (Universidade do Minho). 8 indexed citations
17.
Portela, Filipe, et al.. (2010). Distributed and real time data mining in the intensive care unit. European Conference on Artificial Intelligence. 4 indexed citations
18.
Portela, Filipe, et al.. (2010). Real-time prediction of organ failure and outcome in intensive medicine. Iberian Conference on Information Systems and Technologies. 1–6. 2 indexed citations
19.
Santos, Manuel Filipe, Filipe Portela, José Machado, et al.. (2009). Nursing information architecture for situated decision support in intensive care units. RepositóriUM (Universidade do Minho). 18(3). 491–496. 2 indexed citations
20.
Santos, Manuel Filipe, Filipe Portela, José Machado, et al.. (2009). Information architecture for intelligent decision support in intensive medicine. RepositóriUM (Universidade do Minho). 8(5). 810–819. 8 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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