Vinícius Lima

458 total citations
36 papers, 183 citations indexed

About

Vinícius Lima is a scholar working on Artificial Intelligence, Information Systems and Management Science and Operations Research. According to data from OpenAlex, Vinícius Lima has authored 36 papers receiving a total of 183 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Artificial Intelligence, 8 papers in Information Systems and 8 papers in Management Science and Operations Research. Recurrent topics in Vinícius Lima's work include Data Quality and Management (8 papers), Semantic Web and Ontologies (7 papers) and Artificial Intelligence in Healthcare (4 papers). Vinícius Lima is often cited by papers focused on Data Quality and Management (8 papers), Semantic Web and Ontologies (7 papers) and Artificial Intelligence in Healthcare (4 papers). Vinícius Lima collaborates with scholars based in Brazil, Portugal and United States. Vinícius Lima's co-authors include Domingos Alves, Filipe Andrade Bernardi, Rui Rijo, André Sampaio Pupo, André N. Mueller, Luiz Ricardo de Almeida Kiguti, Afrânio Lineu Kritski, Rafael Mello Galliez, Têmis Maria Félix and Kumar Abhishek and has published in prestigious journals such as Scientific Reports, Journal of Medical Internet Research and Neuropharmacology.

In The Last Decade

Vinícius Lima

27 papers receiving 180 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Vinícius Lima Brazil 8 33 32 32 31 28 36 183
Filipe Andrade Bernardi Brazil 7 19 0.6× 26 0.8× 19 0.6× 20 0.6× 33 1.2× 35 174
Javier Vicente Spain 7 29 0.9× 53 1.7× 15 0.5× 23 0.7× 48 1.7× 11 239
Francisco J. Núñez-Benjumea Spain 7 21 0.6× 26 0.8× 18 0.6× 15 0.5× 55 2.0× 28 217
Nan Kennedy United States 10 17 0.5× 27 0.8× 15 0.5× 28 0.9× 28 1.0× 20 177
Melissa M. Goldstein United States 11 32 1.0× 28 0.9× 29 0.9× 66 2.1× 85 3.0× 27 283
Martin Komenda Czechia 7 38 1.2× 32 1.0× 8 0.3× 22 0.7× 30 1.1× 52 251
Thomas Bahls Germany 9 13 0.4× 27 0.8× 19 0.6× 33 1.1× 56 2.0× 22 177
Christophe Gaudet-Blavignac Switzerland 8 67 2.0× 102 3.2× 33 1.0× 37 1.2× 34 1.2× 36 310
Deevakar Rogith United States 8 26 0.8× 41 1.3× 10 0.3× 33 1.1× 45 1.6× 21 218
Alberto Moreno-Conde Spain 8 55 1.7× 37 1.2× 23 0.7× 70 2.3× 32 1.1× 30 230

Countries citing papers authored by Vinícius Lima

Since Specialization
Citations

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

Fields of papers citing papers by Vinícius Lima

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Vinícius Lima

This figure shows the co-authorship network connecting the top 25 collaborators of Vinícius Lima. A scholar is included among the top collaborators of Vinícius Lima 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 Vinícius Lima. Vinícius Lima 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.
Lima, Vinícius, et al.. (2025). Enhancing Rare Disease Management and Care: Proposal of an Evidence-Based Digital Platform for Second Opinions. Procedia Computer Science. 256. 1277–1284.
2.
Lima, Vinícius, et al.. (2025). Low-budget equipment facilitating skid coefficient extraction for traffic accident analysis. Transportation Engineering. 19. 100305–100305.
3.
Lima, Vinícius, et al.. (2025). Anemia in Patients With Pituitary Adenomas: Prevalence and Correlation With Hypopituitarism. Cureus. 17(6). e85422–e85422.
4.
Bernardi, Filipe Andrade, et al.. (2025). Developing a Genomic Minimum Data Set for Rare Diseases in Brazil: A Delphi Protocol Approach. Procedia Computer Science. 256. 1294–1301.
5.
Lima, Vinícius, Eduardo J. Nassar, Liziane Marçal, et al.. (2024). Multifunctional nanocomposites based on kaolinite/titania/iron applied to hydrogen peroxide production and bisphenol–A removal. Applied Clay Science. 262. 107622–107622. 1 indexed citations
6.
Bernardi, Filipe Andrade, et al.. (2023). Data Quality in Health Research: Integrative Literature Review. Journal of Medical Internet Research. 25. e41446–e41446. 28 indexed citations
7.
Bernardi, Filipe Andrade, et al.. (2023). Informed Consent Form Automated Validation, The Brazilian Rare Disease Network Case Proposal. Procedia Computer Science. 219. 1538–1545.
8.
Lima, Vinícius, Rui Rijo, Filipe Andrade Bernardi, et al.. (2023). REDbox: a comprehensive semantic framework for data collection and management in tuberculosis research. Scientific Reports. 13(1). 7686–7686. 1 indexed citations
9.
Lima, Vinícius, et al.. (2023). Certified Severi dimensions for hyperelliptic and supersymmetric cusps. Bulletin des Sciences Mathématiques. 190. 103361–103361.
10.
Bernardi, Filipe Andrade, et al.. (2022). COVID-19 BR: A web portal for COVID-19 information in Brazil. Procedia Computer Science. 196. 525–532. 2 indexed citations
11.
Lima, Vinícius, Domingos Alves, Filipe Andrade Bernardi, & Rui Rijo. (2022). Security approaches for electronic health data handling through the Semantic Web: A scoping review. Semantic Web. 14(4). 771–784. 5 indexed citations
12.
Lima, Vinícius, et al.. (2022). A computational infrastructure for semantic data integration towards a patient-centered database for Tuberculosis care. Procedia Computer Science. 196. 434–438. 1 indexed citations
13.
Lima, Vinícius, et al.. (2021). Security Framework for Tuberculosis Health Data Interoperability Through the Semantic Web. 13(2). 36–57. 4 indexed citations
14.
Rijo, Rui, Vinícius Lima, Filipe Andrade Bernardi, et al.. (2020). Data Integration in the Brazilian Public Health System for Tuberculosis: Use of the Semantic Web to Establish Interoperability. JMIR Medical Informatics. 8(7). e17176–e17176. 16 indexed citations
15.
Alves, Domingos, et al.. (2020). Mapping, Infrastructure, and Data Analysis for the Brazilian Network of Rare Diseases: Protocol for the RARASnet Observational Cohort Study. JMIR Research Protocols. 10(1). e24826–e24826. 9 indexed citations
16.
Bernardi, Filipe Andrade, Vinícius Lima, Paulo Mazzoncini de Azevedo‐Marques, et al.. (2019). Blockchain Based Network for Tuberculosis: A Data Sharing Initiative in Brazil. Studies in health technology and informatics. 262. 264–267. 4 indexed citations
17.
Lima, Vinícius, et al.. (2019). A tool to support the clinical decision based on risk of death in hospital admissions. Procedia Computer Science. 164. 573–580. 2 indexed citations
18.
Rijo, Rui, et al.. (2017). Development and evaluation of an interoperable system based on the semantic web to enhance the management of patients’ tuberculosis data. Procedia Computer Science. 121. 791–796. 9 indexed citations
19.
Mueller, André N., et al.. (2010). The tricyclic antidepressants amitriptyline, nortriptyline and imipramine are weak antagonists of human and rat α1B-adrenoceptors. Neuropharmacology. 59(1-2). 49–57. 19 indexed citations
20.
Lima, Vinícius, et al.. (2009). Convicções de Saúde e Capacidade de Adesão de Mães de Crianças com Doenças Graves e Crônicas. 13(13). 46–67. 2 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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