Pedro Sousa

912 total citations
49 papers, 494 citations indexed

About

Pedro Sousa is a scholar working on Artificial Intelligence, Computer Networks and Communications and Signal Processing. According to data from OpenAlex, Pedro Sousa has authored 49 papers receiving a total of 494 indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Artificial Intelligence, 7 papers in Computer Networks and Communications and 7 papers in Signal Processing. Recurrent topics in Pedro Sousa's work include Bioinformatics and Genomic Networks (6 papers), Data Stream Mining Techniques (6 papers) and Time Series Analysis and Forecasting (5 papers). Pedro Sousa is often cited by papers focused on Bioinformatics and Genomic Networks (6 papers), Data Stream Mining Techniques (6 papers) and Time Series Analysis and Forecasting (5 papers). Pedro Sousa collaborates with scholars based in Portugal, Spain and Germany. Pedro Sousa's co-authors include Ernestina Menasalvas, João Bártolo Gomes, Mohamed Medhat Gaber, Massimiliano Zanin, Stefano Boccaletti, María Torrente, Mariano Provencio, David Papo, Fernando Franco and Ana Collazo-Lorduy and has published in prestigious journals such as SHILAP Revista de lepidopterología, PLoS ONE and Scientific Reports.

In The Last Decade

Pedro Sousa

43 papers receiving 473 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Pedro Sousa Portugal 10 164 73 62 61 60 49 494
Xing He United States 12 369 2.3× 31 0.4× 78 1.3× 21 0.3× 55 0.9× 46 792
Carla Taramasco Chile 12 134 0.8× 38 0.5× 77 1.2× 38 0.6× 13 0.2× 87 596
Riad Alharbey Saudi Arabia 12 122 0.7× 55 0.8× 47 0.8× 17 0.3× 14 0.2× 26 480
Ching‐Wen Yang Taiwan 13 41 0.3× 66 0.9× 21 0.3× 16 0.3× 17 0.3× 47 410
Maurizio Tucci Italy 15 164 1.0× 21 0.3× 80 1.3× 24 0.4× 98 1.6× 54 560
Liansheng Tang United States 8 55 0.3× 55 0.8× 40 0.6× 11 0.2× 94 1.6× 56 548
Campbell Wilson Australia 13 98 0.6× 16 0.2× 34 0.5× 13 0.2× 23 0.4× 48 665
Ying Lin United States 14 131 0.8× 17 0.2× 87 1.4× 22 0.4× 7 0.1× 39 467
Xiang Lin China 14 179 1.1× 8 0.1× 48 0.8× 32 0.5× 25 0.4× 42 524
Arjun P. Athreya United States 13 55 0.3× 16 0.2× 107 1.7× 58 1.0× 36 0.6× 67 634

Countries citing papers authored by Pedro Sousa

Since Specialization
Citations

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

Fields of papers citing papers by Pedro Sousa

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Pedro Sousa

This figure shows the co-authorship network connecting the top 25 collaborators of Pedro Sousa. A scholar is included among the top collaborators of Pedro Sousa 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 Pedro Sousa. Pedro Sousa 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.
Nascimento, Navar Medeiros M., et al.. (2024). New advances in body composition assessment with ShapedNet: A single image deep regression approach. Pattern Recognition Letters. 188. 88–94. 1 indexed citations
2.
Gonçalves, Ramiro, et al.. (2024). Musculoskeletal embolization – endovascular treatment of adhesive capsulitis: first case reported in Portugal. 3(2). 159–161. 1 indexed citations
3.
4.
Sousa, Pedro, et al.. (2023). His bundle pacing and left bundle branch area pacing: Feasibility and safety. Revista Portuguesa de Cardiologia. 42(8). 683–691. 3 indexed citations
5.
Torrente, María, Pedro Sousa, Virginia Calvo, et al.. (2022). An Artificial Intelligence-Based Tool for Data Analysis and Prognosis in Cancer Patients: Results from the Clarify Study. Cancers. 14(16). 4041–4041. 25 indexed citations
6.
Pagán, Pedro, María Torrente, Manuel Campos, et al.. (2022). Chronodisruption and Ambulatory Circadian Monitoring in Cancer Patients: Beyond the Body Clock. Current Oncology Reports. 24(2). 135–149. 9 indexed citations
7.
Cuenca‐Zaldívar, Juan Nicolás, María Torrente, César Fernández‐de‐las‐Peñas, et al.. (2022). Exploring Sentiment and Care Management of Hospitalized Patients During the First Wave of the COVID-19 Pandemic Using Electronic Nursing Health Records: Descriptive Study. JMIR Medical Informatics. 10(5). e38308–e38308. 5 indexed citations
8.
9.
Torrente, María, Fernando Franco, Virginia Calvo, et al.. (2022). Assessing the risk of cardiovascular events in patients receiving immune checkpoint inhibitors. Frontiers in Cardiovascular Medicine. 9. 1062858–1062858. 9 indexed citations
10.
Torrente, María, et al.. (2022). Understanding prognosis and survival outcomes in patients with early-stage non-small-cell lung cancer. Clinical Medicine. 22(4). 38–40. 3 indexed citations
11.
Torrente, María, Pedro Sousa, Ana Royuela, et al.. (2021). To burn-out or not to burn-out: a cross-sectional study in healthcare professionals in Spain during COVID-19 pandemic. BMJ Open. 11(2). e044945–e044945. 90 indexed citations
12.
Zanin, Massimiliano, et al.. (2018). Indoor Temperature Prediction in an IoT Scenario. Sensors. 18(11). 3610–3610. 17 indexed citations
13.
Sousa, Pedro, et al.. (2016). Surpassing bluetooth low energy limitations on distance determination. 843–847. 7 indexed citations
14.
Zanin, Massimiliano, Joaquı́n Medina, Jesús Vicente‐Carbajosa, et al.. (2014). Parenclitic networks: uncovering new functions in biological data. Scientific Reports. 4(1). 5112–5112. 22 indexed citations
15.
Zanin, Massimiliano, Joaquı́n Medina, Jesús Vicente‐Carbajosa, et al.. (2013). Parenclitic networks' representation of data sets. arXiv (Cornell University). 2 indexed citations
16.
Zanin, Massimiliano, Ernestina Menasalvas, Stefano Boccaletti, & Pedro Sousa. (2013). Feature Selection in the Reconstruction of Complex Network Representations of Spectral Data. PLoS ONE. 8(8). e72045–e72045. 5 indexed citations
17.
Gomes, João Bártolo, Mohamed Medhat Gaber, Pedro Sousa, & Ernestina Menasalvas. (2013). Mining Recurring Concepts in a Dynamic Feature Space. IEEE Transactions on Neural Networks and Learning Systems. 25(1). 95–110. 48 indexed citations
18.
Zanin, Massimiliano, Ernestina Menasalvas, Pedro Sousa, & Stefano Boccaletti. (2012). Preprocessing and analyzing genetic data with complex networks: An application to Obstructive Nephropathy. Networks and Heterogeneous Media. 7(3). 473–481. 3 indexed citations
19.
Ataei, Mohammad, et al.. (2011). Soft system modeling in transportation planning: Modeling trip flows based on the fuzzy inference system approach. AFRICAN JOURNAL OF BUSINESS MANAGEMENT. 5(2). 505–514. 9 indexed citations
20.
Ferreira, Sónia, et al.. (2005). A CONTRIBUTION TO THE KNOWLEDGE OF THE ODONATA OF MONTESINHO NATURAL PARK (NE PORTUGAL). Boletín de la SEA. 249–250. 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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