Álvaro Sobrinho

524 total citations
37 papers, 264 citations indexed

About

Álvaro Sobrinho is a scholar working on Computational Theory and Mathematics, Artificial Intelligence and Cardiology and Cardiovascular Medicine. According to data from OpenAlex, Álvaro Sobrinho has authored 37 papers receiving a total of 264 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Computational Theory and Mathematics, 8 papers in Artificial Intelligence and 6 papers in Cardiology and Cardiovascular Medicine. Recurrent topics in Álvaro Sobrinho's work include Petri Nets in System Modeling (8 papers), Formal Methods in Verification (7 papers) and ECG Monitoring and Analysis (6 papers). Álvaro Sobrinho is often cited by papers focused on Petri Nets in System Modeling (8 papers), Formal Methods in Verification (7 papers) and ECG Monitoring and Analysis (6 papers). Álvaro Sobrinho collaborates with scholars based in Brazil, United States and United Kingdom. Álvaro Sobrinho's co-authors include Ângelo Perkusich, Leandro Dias da Silva, Maria Eliete Pinheiro, Paulo Cunha, Evandro Costa, Lenardo Chaves e Silva, Danilo F. S. Santos, Kyller Gorgônio, Diego Dermeval and Ig Ibert Bittencourt and has published in prestigious journals such as Expert Systems with Applications, IEEE Access and ACM Computing Surveys.

In The Last Decade

Álvaro Sobrinho

29 papers receiving 255 citations

Peers

Álvaro Sobrinho
Comparison fields: 5 of 70
  • Artificial Intelligence 97
  • Health Information Management 83
  • Radiology, Nuclear Medicine and Imaging 37
  • Cardiology and Cardiovascular Medicine 31
  • Information Systems 27
Replace Leandro Dias da Silva with:
Leandro Dias da Silva Brazil
Patricia Alafaireet United States
Erik Dovgan Slovenia
Qiyang Hu Switzerland
Peter Schulam United States
Meng-Ju Hsieh Taiwan
Hamdan O. Alanazi Malaysia
Phuong Dinh Ngo Norway
Konstantia Zarkogianni Greece
Aakanksha Sharma India
Leandro Dias da Silva Brazil View profile →
Citations per field, relative to Álvaro Sobrinho
Álvaro Sobrinho · 1×
Citations per year, relative to Álvaro Sobrinho
Álvaro Sobrinho · 1×

Countries citing papers authored by Álvaro Sobrinho

Since Specialization
Citations

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

Fields of papers citing papers by Álvaro Sobrinho

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Álvaro Sobrinho

This figure shows the co-authorship network connecting the top 25 collaborators of Álvaro Sobrinho. A scholar is included among the top collaborators of Álvaro Sobrinho 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 Álvaro Sobrinho. Álvaro Sobrinho 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
# Work Indexed citations
1 1
2 2
3 0
4 0
5 1
6 1
7 0
8 2
9 4
10 7
11 2
12 0
13 32
14 24
15 2
16 3
17 42
18 1
19 3
20 7

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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