Anísio Lacerda

1.1k total citations
55 papers, 665 citations indexed

About

Anísio Lacerda is a scholar working on Artificial Intelligence, Information Systems and Management Science and Operations Research. According to data from OpenAlex, Anísio Lacerda has authored 55 papers receiving a total of 665 indexed citations (citations by other indexed papers that have themselves been cited), including 21 papers in Artificial Intelligence, 18 papers in Information Systems and 18 papers in Management Science and Operations Research. Recurrent topics in Anísio Lacerda's work include Recommender Systems and Techniques (18 papers), Advanced Bandit Algorithms Research (13 papers) and Advanced Multi-Objective Optimization Algorithms (8 papers). Anísio Lacerda is often cited by papers focused on Recommender Systems and Techniques (18 papers), Advanced Bandit Algorithms Research (13 papers) and Advanced Multi-Objective Optimization Algorithms (8 papers). Anísio Lacerda collaborates with scholars based in Brazil, France and Portugal. Anísio Lacerda's co-authors include Nívio Ziviani, Adriano Veloso, Marco Túlio Ribeiro, Gisele L. Pappa, Marcos André Gonçalves, Marco Cristo, Weiguo Fan, Berthier Ribeiro‐Neto, Edleno Silva de Moura and Flávio Luis Cardeal Pádua and has published in prestigious journals such as SHILAP Revista de lepidopterología, Information Sciences and Neurocomputing.

In The Last Decade

Anísio Lacerda

53 papers receiving 634 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Anísio Lacerda Brazil 12 351 266 176 125 85 55 665
Álvaro Tejeda-Lorente Spain 11 338 1.0× 256 1.0× 108 0.6× 87 0.7× 81 1.0× 22 569
Saúl Vargas Spain 10 717 2.0× 313 1.2× 290 1.6× 182 1.5× 88 1.0× 19 866
Himan Abdollahpouri United States 11 528 1.5× 279 1.0× 295 1.7× 94 0.8× 101 1.2× 22 675
YoungOk Kwon United States 7 777 2.2× 325 1.2× 265 1.5× 244 2.0× 121 1.4× 13 933
Lukas Lerche Germany 10 452 1.3× 219 0.8× 189 1.1× 130 1.0× 65 0.8× 17 538
Justin Basilico United States 9 279 0.8× 181 0.7× 94 0.5× 111 0.9× 41 0.5× 14 432
Francisco P. Romero Spain 12 307 0.9× 493 1.9× 103 0.6× 48 0.4× 136 1.6× 42 769
Luiz Pizzato Australia 11 302 0.9× 210 0.8× 121 0.7× 62 0.5× 76 0.9× 23 498
Hyea Kyeong Kim South Korea 8 573 1.6× 232 0.9× 83 0.5× 176 1.4× 168 2.0× 16 813

Countries citing papers authored by Anísio Lacerda

Since Specialization
Citations

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

Fields of papers citing papers by Anísio Lacerda

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Anísio Lacerda

This figure shows the co-authorship network connecting the top 25 collaborators of Anísio Lacerda. A scholar is included among the top collaborators of Anísio Lacerda 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 Anísio Lacerda. Anísio Lacerda 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.
2.
Oliveira, Gabriel P., et al.. (2024). Overpricing Analysis in Brazilian Public Bidding Items. SHILAP Revista de lepidopterología. 15(1). 130–142. 4 indexed citations
3.
Lacerda, Anísio, et al.. (2023). An Empirical Analysis of Vision Transformers Robustness to Spurious Correlations in Health Data. 38. 1–8. 1 indexed citations
4.
Oliveira, Gabriel P., et al.. (2023). Análise de Irregularidades em Licitações Públicas com Foco em Empresas de Pequeno Porte. 94–105. 5 indexed citations
5.
Oliveira, Gabriel P., et al.. (2023). Análise de Sobrepreço em Itens de Licitações Públicas. 118–129. 8 indexed citations
6.
Oliveira, Gabriel P., et al.. (2023). Assessing Data Quality Inconsistencies in Brazilian Governmental Data. Journal of Information and Data Management. 14(1). 5 indexed citations
7.
Brandão, Michele A., et al.. (2023). Mineração de Dados sobre Despesas Públicas de Municípios Mineiros para Gerar Alertas de Fraudes. 378–383. 2 indexed citations
8.
Brandão, Michele A., et al.. (2023). PLUS: A Semi-automated Pipeline for Fraud Detection in Public Bids. Digital Government Research and Practice. 5(1). 1–16. 6 indexed citations
9.
Oliveira, Gabriel P., et al.. (2023). Ranqueamento de Licitações Públicas a partir de Alertas de Fraude. 1–12. 2 indexed citations
10.
Brandão, Michele A., et al.. (2023). Impacto do Pré-processamento e Representação Textual na Classificação de Documentos de Licitações. 102–114. 2 indexed citations
11.
Oliveira, Gabriel P., et al.. (2022). Alertas de fraude em licitações: Uma abordagem baseada em redes sociais. 37–48. 4 indexed citations
12.
Meira, Wagner, Danielle de Souza Costa, Leonardo Baldaçara, et al.. (2022). Social Determinants in Self-Protective Behavior Related to COVID-19: Association Rule–Mining Study. JMIR Public Health and Surveillance. 8(6). e34020–e34020. 5 indexed citations
13.
Lacerda, Anísio, et al.. (2018). User-Oriented Objective Prioritization for Meta-Featured Multi-Objective Recommender Systems. 311–316. 4 indexed citations
14.
Lacerda, Anísio, et al.. (2018). Exploiting Multiple Recommenders to Improve Group Recommendation. 33. 324–329. 2 indexed citations
15.
Lacerda, Anísio, et al.. (2013). GUARD: A Genetic Unified Approach for Recommendation. Journal of Information and Data Management. 4(3). 295–310. 7 indexed citations
16.
Lacerda, Anísio, et al.. (2013). Weighted slope one predictors revisited. 967–972. 4 indexed citations
17.
Lacerda, Anísio, Adriano Veloso, & Nívio Ziviani. (2013). Exploratory and interactive daily deals recommendation. 439–442. 4 indexed citations
18.
Botelho, Fabiano C., et al.. (2009). Minimal perfect hashing: A competitive method for indexing internal memory. Information Sciences. 181(13). 2608–2625. 11 indexed citations
19.
Lacerda, Anísio, Marco Cristo, Marcos André Gonçalves, et al.. (2006). Learning to advertise. 549–556. 114 indexed citations
20.
Lacerda, Anísio, et al.. (1994). Gamma to alpha phase transformation in FeCoV alloys. Hyperfine Interactions. 83(1). 231–234. 4 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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