Vinícius Lima

27 papers receiving 180 citations

Peers

Vinícius Lima
Comparison fields: 5 of 82
  • Health Information Management 31
  • Health Informatics 6
  • Modeling and Simulation 13
  • Management Science and Operations Research 32
  • Applied Psychology 8
Replace Filipe Andrade Bernardi with:
Filipe Andrade Bernardi Brazil
Lucy Hederman Ireland
Martin Komenda Czechia
Umberto Tachinardi United States
Christophe Gaudet-Blavignac Switzerland
Mohammad Al-Ramahi United States
Bill Fitzgerald
Andrea Martani Switzerland
Oloruntoba Babawarun United States
Lester Darryl Geneviève Switzerland
Vinícius Lima relative to Filipe Andrade Bernardi Brazil Filipe Andrade Bernardi's profile →
Citations per field
00.5×10×13×
Filipe Andrade Bernardi · 1×
Citations per year

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-authors

The 25 scholars most cited alongside Vinícius Lima, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Vinícius Lima Line = papers co-authored together Vinícius Lima links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 36 papers — load more, or switch the sort, to bring in the rest.

#Work
1 202042
2 202328
3 201019
4 202016
5 20209
6 20179
7 20189
8 20198
9 20225
10 20175
11 20214
12 20194
13 20223
14 20193
15 20193
16 20222
17 20192
18 20092
19 20192
20 20241

About Vinícius Lima

Vinícius Lima is a scholar working on Artificial Intelligence, Information Systems, Management Science and Operations Research, Health Information Management and Molecular Biology, having authored 36 papers that have together received 183 indexed citations. Recurring topics across this work include Data Quality and Management (8 papers), Semantic Web and Ontologies (7 papers), Artificial Intelligence in Healthcare (4 papers), Scientific Computing and Data Management (4 papers), Biomedical Text Mining and Ontologies (4 papers), Mobile Health and mHealth Applications (3 papers), Health Systems, Economic Evaluations, Quality of Life (3 papers) and Genomics and Rare Diseases (3 papers). The work is most often cited by research in Health Information Management (31 citations), Health Informatics (6 citations), Modeling and Simulation (13 citations), Management Science and Operations Research (32 citations) and Applied Psychology (8 citations). Vinícius Lima has collaborated with scholars based in Brazil, Portugal and United States. Frequent co-authors include Domingos Alves, Filipe Andrade Bernardi, Rui Rijo, Luiz Ricardo de Almeida Kiguti, André N. Mueller, Afrânio Lineu Kritski, Rafael Mello Galliez, André Sampaio Pupo, Ricardo Cruz‐Correia and Kumar Abhishek. Their work appears in journals such as Scientific Reports, Methods of Information in Medicine, Journal of Medical Internet Research, Transportation Engineering and Applied Clay Science.

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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