Fernando Mourão

774 total citations
50 papers, 508 citations indexed

About

Fernando Mourão is a scholar working on Information Systems, Artificial Intelligence and Management Science and Operations Research. According to data from OpenAlex, Fernando Mourão has authored 50 papers receiving a total of 508 indexed citations (citations by other indexed papers that have themselves been cited), including 30 papers in Information Systems, 27 papers in Artificial Intelligence and 17 papers in Management Science and Operations Research. Recurrent topics in Fernando Mourão's work include Recommender Systems and Techniques (17 papers), Advanced Bandit Algorithms Research (10 papers) and Spam and Phishing Detection (9 papers). Fernando Mourão is often cited by papers focused on Recommender Systems and Techniques (17 papers), Advanced Bandit Algorithms Research (10 papers) and Spam and Phishing Detection (9 papers). Fernando Mourão collaborates with scholars based in Brazil, United States and Malaysia. Fernando Mourão's co-authors include Leonardo Rocha, Marcos André Gonçalves, Adriano C. M. Pereira, Thiago Salles, Wagner Meira, Felipe Viegas, Elder Cirilo, Gisele L. Pappa, Matheus P. Viana and Srinivasan Parthasarathy and has published in prestigious journals such as Expert Systems with Applications, Information Sciences and Neurocomputing.

In The Last Decade

Fernando Mourão

45 papers receiving 483 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Fernando Mourão Brazil	12	274	256	75	62	60	50	508
Maryam Khanian Najafabadi Malaysia	7	164 0.6×	298 1.2×	72 1.0×	64 1.0×	70 1.2×	23	507
Bharat Bhasker India	10	191 0.7×	240 0.9×	68 0.9×	58 0.9×	87 1.4×	40	464
Aminu Da’u Malaysia	9	361 1.3×	368 1.4×	55 0.7×	108 1.7×	69 1.1×	15	584
Yi Fang United States	13	396 1.4×	281 1.1×	49 0.7×	98 1.6×	69 1.1×	53	654
Fernando Díez Spain	9	156 0.6×	347 1.4×	63 0.8×	96 1.5×	50 0.8×	33	462
Mohammad Yahya H. Al-Shamri Saudi Arabia	8	185 0.7×	371 1.4×	93 1.2×	133 2.1×	101 1.7×	20	513
Jianrong Tao China	13	221 0.8×	151 0.6×	74 1.0×	60 1.0×	97 1.6×	40	492
Laura Sebastiá Spain	11	196 0.7×	292 1.1×	101 1.3×	81 1.3×	171 2.9×	36	566
Xiangwu Meng China	15	229 0.8×	457 1.8×	136 1.8×	122 2.0×	53 0.9×	67	539
Marta Rey-López Spain	9	116 0.4×	325 1.3×	82 1.1×	132 2.1×	117 1.9×	16	445

Countries citing papers authored by Fernando Mourão

Since Specialization

Citations

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

Fields of papers citing papers by Fernando Mourão

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Fernando Mourão

This figure shows the co-authorship network connecting the top 25 collaborators of Fernando Mourão. A scholar is included among the top collaborators of Fernando Mourão 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 Fernando Mourão. Fernando Mourão is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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20 of 20 papers shown

Joshi, Aditya, et al.. (2022). Imbalanced Data Sparsity as a Source of Unfair Bias in Collaborative Filtering. 531–533. 1 indexed citations

Mourão, Fernando, et al.. (2021). The matching scarcity problem: When recommenders do not connect the edges in recruitment services. Expert Systems with Applications. 175. 114764–114764. 6 indexed citations

Pereira, Adriano C. M., et al.. (2021). Effective and diverse POI recommendations through complementary diversification models. Expert Systems with Applications. 175. 114775–114775. 12 indexed citations

Mourão, Fernando, et al.. (2019). A characterization methodology for candidates and recruiters interaction in online recruitment services. 333–340. 4 indexed citations

Pereira, Adriano C. M., et al.. (2019). A Particle Swarm approach to mitigate the apparent diversity-accuracy dilemma in recommendation domains in recommendation domains. 107. 2183–2190. 1 indexed citations

Pereira, Adriano C. M., et al.. (2018). The Pure Cold-Start Problem: A deep study about how to conquer first-time users in recommendations domains. Information Systems. 80. 1–12. 34 indexed citations

Pereira, Adriano C. M., et al.. (2017). Non-personalized Movie Recommendation by Maximum k-Coverage. Cadernos de Linguística e Teoria da Literatura (Universidade Federal de Minas Gerais). 8(2). 102–116. 2 indexed citations

Salles, Thiago, Leonardo Rocha, Fernando Mourão, et al.. (2017). A Two-Stage Machine learning approach for temporally-robust text classification. Information Systems. 69. 40–58. 7 indexed citations

Rocha, Leonardo, et al.. (2017). A framework for unexpectedness evaluation in recommendation. 1662–1667. 1 indexed citations

10.

Barbosa, G. A., et al.. (2017). Privacy for Children and Teenagers on Social Networks from a Usability Perspective. 63–71. 9 indexed citations

11.

Mourão, Fernando, et al.. (2016). Caracterização da Usabilidade dos Recursos de Privacidade do Facebook para Crianças e Adolescentes. 12(1).

12.

Mourão, Fernando, et al.. (2016). Hierarchical Density-Based Clustering Based on GPU Accelerated Data Indexing Strategy. Procedia Computer Science. 80. 951–961. 7 indexed citations

13.

Mourão, Fernando, et al.. (2015). Quantifying Complementarity among Strategies for Influencers’ Detection on Twitter 1. Procedia Computer Science. 51. 2435–2444. 12 indexed citations

14.

Rocha, Leonardo, et al.. (2012). Temporal contexts: Effective text classification in evolving document collections. Information Systems. 38(3). 388–409. 7 indexed citations

15.

Mourão, Fernando, et al.. (2011). The Oblivion Problem: Exploiting forgotten items to improve recommendation diversity. Conference on Recommender Systems. 27–34. 4 indexed citations

16.

Salles, Thiago, Leonardo Rocha, Fernando Mourão, et al.. (2010). Automatic Document Classification Temporally Robust. Cadernos de Linguística e Teoria da Literatura (Universidade Federal de Minas Gerais). 1(2). 199–212. 9 indexed citations

17.

Salles, Thiago, Leonardo Rocha, Gisele L. Pappa, et al.. (2009). Classificação Automática de Documentos Robusta Temporalmente.. 106–119. 1 indexed citations

18.

Silva, Arlei, Pedro Calais, Adriano C. M. Pereira, et al.. (2008). A seller's perspective characterization methodology for online auctions. 1–10. 3 indexed citations

19.

Pereira, Adriano C. M., Leonardo Rocha, Fernando Mourão, Wagner Meira, & Paulo Góes. (2007). Characterization of Online Auctions: Correlating Negotiation Patterns and Bidding Behavior. 28. 100–109.

20.

Pereira, Adriano C. M., Leonardo Rocha, Fernando Mourão, Wagner Meira, & Paulo Góes. (2007). Characterization of Online Auctions: Correlating Negotiation Patterns and Bidding Behavior. 100–109.

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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