Bruno Veloso

940 total citations
39 papers, 412 citations indexed

About

Bruno Veloso is a scholar working on Artificial Intelligence, Information Systems and Computer Networks and Communications. According to data from OpenAlex, Bruno Veloso has authored 39 papers receiving a total of 412 indexed citations (citations by other indexed papers that have themselves been cited), including 20 papers in Artificial Intelligence, 16 papers in Information Systems and 8 papers in Computer Networks and Communications. Recurrent topics in Bruno Veloso's work include Recommender Systems and Techniques (9 papers), Data Stream Mining Techniques (9 papers) and Imbalanced Data Classification Techniques (6 papers). Bruno Veloso is often cited by papers focused on Recommender Systems and Techniques (9 papers), Data Stream Mining Techniques (9 papers) and Imbalanced Data Classification Techniques (6 papers). Bruno Veloso collaborates with scholars based in Portugal, Spain and Ireland. Bruno Veloso's co-authors include João Gama, Benedita Malheiro, Rita P. Ribeiro, Fátima Leal, Fernando Moreira, Juan C. Burguillo, Pedro Pereira, Natércia Durão, Carla Santos Pereira and Narjes Davari and has published in prestigious journals such as Scientific Reports, Sensors and Sustainability.

In The Last Decade

Bruno Veloso

36 papers receiving 384 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Bruno Veloso Portugal 12 100 98 64 57 51 39 412
Dmitry Namiot Tajikistan 12 77 0.8× 143 1.5× 32 0.5× 41 0.7× 47 0.9× 192 686
Ip‐Shing Fan United Kingdom 14 99 1.0× 117 1.2× 36 0.6× 45 0.8× 133 2.6× 73 630
Frédérick Bénaben France 15 141 1.4× 217 2.2× 68 1.1× 23 0.4× 77 1.5× 82 697
Alexey Finogeev Russia 10 43 0.4× 97 1.0× 22 0.3× 43 0.8× 24 0.5× 40 318
Vishal Dineshkumar Soni United States 12 153 1.5× 79 0.8× 24 0.4× 22 0.4× 25 0.5× 41 460
Q.B. Chung United States 13 58 0.6× 71 0.7× 51 0.8× 24 0.4× 34 0.7× 29 469
Leonidas Sakalauskas Lithuania 12 76 0.8× 30 0.3× 16 0.3× 35 0.6× 37 0.7× 96 497
Bhuvan Unhelkar United States 13 91 0.9× 186 1.9× 44 0.7× 21 0.4× 47 0.9× 81 568
Ana Belén Mirete Ruíz Spain 13 161 1.6× 100 1.0× 19 0.3× 67 1.2× 23 0.5× 54 563
Asharul Islam Khan Oman 10 93 0.9× 120 1.2× 57 0.9× 9 0.2× 33 0.6× 35 509

Countries citing papers authored by Bruno Veloso

Since Specialization
Citations

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

Fields of papers citing papers by Bruno Veloso

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Bruno Veloso

This figure shows the co-authorship network connecting the top 25 collaborators of Bruno Veloso. A scholar is included among the top collaborators of Bruno Veloso 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 Bruno Veloso. Bruno Veloso 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.
Caroprese, Luciano, et al.. (2025). Modeling events and interactions through temporal processes: A survey. Neurocomputing. 653. 131191–131191.
2.
Veloso, Bruno, et al.. (2025). Prioritisation of Studies In Sustainable Urban Mobility Via Fuzzy-Topsis: A Methodological Approach For Systematic Reviews. Revista de Gestão Social e Ambiental. 19(3). e011568–e011568. 1 indexed citations
3.
Brandão, Amélia, et al.. (2024). The use of AI in government and its risks: lessons from the private sector. Transforming Government People Process and Policy. 2 indexed citations
4.
Caroprese, Luciano, et al.. (2024). Modelling Concept Drift in Dynamic Data Streams for Recommender Systems. 3(2). 1–28. 1 indexed citations
5.
Veloso, Bruno, et al.. (2023). Data-driven predictive maintenance framework for railway systems. Intelligent Data Analysis. 27(4). 1087–1102. 2 indexed citations
6.
Gama, João, Sławomir Nowaczyk, Sepideh Pashami, et al.. (2023). XAI for Predictive Maintenance. 5798–5799. 4 indexed citations
7.
Leal, Fátima, et al.. (2022). Interpretable Success Prediction in Higher Education Institutions Using Pedagogical Surveys. Sustainability. 14(20). 13446–13446. 1 indexed citations
8.
Pereira, Carla Santos, Natércia Durão, Fernando Moreira, & Bruno Veloso. (2022). The Importance of Digital Transformation in International Business. Sustainability. 14(2). 834–834. 45 indexed citations
9.
Pereira, Carla Santos, Bruno Veloso, Natércia Durão, & Fernando Moreira. (2022). The influence of technological innovations on international business strategy before and during COVID-19 pandemic. Procedia Computer Science. 196. 44–51. 30 indexed citations
10.
Veloso, Bruno, João Gama, Benedita Malheiro, & João Vinagre. (2021). Hyperparameter self-tuning for data streams. Information Fusion. 76. 75–86. 26 indexed citations
11.
Veloso, Bruno, et al.. (2020). A case study on using heavy-hitters in interconnect bypass fraud. ACM SIGAPP Applied Computing Review. 20(3). 47–57.
12.
Leal, Fátima, Bruno Veloso, Benedita Malheiro, Horacio González–Vélez, & Juan C. Burguillo. (2020). A 2020 perspective on “Scalable modelling and recommendation using wiki-based crowdsourced repositories:” Fairness, scalability, and real-time recommendation. Electronic Commerce Research and Applications. 40. 100951–100951. 1 indexed citations
13.
Tabassum, Shazia, Bruno Veloso, & João Gama. (2020). On fast and scalable recurring link’s prediction in evolving multi-graph streams. Network Science. 8(S1). S65–S81. 1 indexed citations
14.
Veloso, Bruno, Fátima Leal, Benedita Malheiro, & Juan C. Burguillo. (2020). A 2020 perspective on “Online guest profiling and hotel recommendation”: Reliability, Scalability, Traceability and Transparency. Electronic Commerce Research and Applications. 40. 100957–100957. 9 indexed citations
15.
Veloso, Bruno, et al.. (2020). Interconnect bypass fraud detection: a case study. Annals of Telecommunications. 75(9-10). 583–596. 2 indexed citations
16.
Veloso, Bruno, et al.. (2019). Detecting Bursts of Activity in Telecommunications.. Knowledge Discovery and Data Mining. 1 indexed citations
17.
Veloso, Bruno, Fátima Leal, Benedita Malheiro, & Fernando Moreira. (2019). Distributed Trust & Reputation Models using Blockchain Technologies for Tourism Crowdsourcing Platforms. Procedia Computer Science. 160. 457–460. 16 indexed citations
18.
Veloso, Bruno, et al.. (2019). Stream Recommendation using Individual Hyper-Parameters.. 1 indexed citations
19.
Leal, Fátima, Bruno Veloso, Benedita Malheiro, Horacio González–Vélez, & Juan C. Burguillo. (2018). Scalable modelling and recommendation using wiki-based crowdsourced repositories. Electronic Commerce Research and Applications. 33. 100817–100817. 12 indexed citations
20.
Veloso, Bruno, et al.. (2017). Personalised fading for stream data. Portuguese National Funding Agency for Science, Research and Technology (RCAAP Project by FCT). 870–872. 7 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.

Explore authors with similar magnitude of impact

Breakdown of academic impact, for papers by Dmitry Namiot Breakdown of academic impact, for papers by Ip‐Shing Fan Breakdown of academic impact, for papers by Frédérick Bénaben Breakdown of academic impact, for papers by Alexey Finogeev Breakdown of academic impact, for papers by Vishal Dineshkumar Soni Breakdown of academic impact, for papers by Q.B. Chung Breakdown of academic impact, for papers by Leonidas Sakalauskas Breakdown of academic impact, for papers by Bhuvan Unhelkar Breakdown of academic impact, for papers by Ana Belén Mirete Ruíz Breakdown of academic impact, for papers by Asharul Islam Khan
Rankless by CCL
2026