Fernando J. Barros

972 total citations
62 papers, 560 citations indexed

About

Fernando J. Barros is a scholar working on Management Science and Operations Research, Computational Theory and Mathematics and Computer Networks and Communications. According to data from OpenAlex, Fernando J. Barros has authored 62 papers receiving a total of 560 indexed citations (citations by other indexed papers that have themselves been cited), including 39 papers in Management Science and Operations Research, 22 papers in Computational Theory and Mathematics and 19 papers in Computer Networks and Communications. Recurrent topics in Fernando J. Barros's work include Simulation Techniques and Applications (39 papers), Business Process Modeling and Analysis (13 papers) and Model-Driven Software Engineering Techniques (11 papers). Fernando J. Barros is often cited by papers focused on Simulation Techniques and Applications (39 papers), Business Process Modeling and Analysis (13 papers) and Model-Driven Software Engineering Techniques (11 papers). Fernando J. Barros collaborates with scholars based in Portugal, United States and Belgium. Fernando J. Barros's co-authors include Miguel Castelo‐Branco, Marco Simões, Bernard P. Zeigler, Paul A. Fishwick, Joachim Denil, Xiaolin Hu, Herbert Prähofer, Filipe X. Catry, Filipe Araújo and Maria J. Vasconcelos and has published in prestigious journals such as SHILAP Revista de lepidopterología, Software Practice and Experience and Simulation Modelling Practice and Theory.

In The Last Decade

Fernando J. Barros

57 papers receiving 522 citations

Peers

Fernando J. Barros
Comparison fields: 5 of 78
  • Management Science and Operations Research 334
  • Computational Theory and Mathematics 121
  • Computer Networks and Communications 118
  • Management Information Systems 116
  • Software 84
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Citations per field, relative to Fernando J. Barros
Fernando J. Barros · 1×
Citations per year, relative to Fernando J. Barros
Fernando J. Barros · 1×

Countries citing papers authored by Fernando J. Barros

Since Specialization
Citations

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

Fields of papers citing papers by Fernando J. Barros

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Fernando J. Barros

This figure shows the co-authorship network connecting the top 25 collaborators of Fernando J. Barros. A scholar is included among the top collaborators of Fernando J. Barros 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 J. Barros. Fernando J. Barros 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 0
2 0
3 54
4 1
5 3
6 1
7
Proceedings of the Symposium on Theory of Modeling & Simulation
11
8 1
9 5
10 1
11 3
12 2
13 5
14 4
15 14
16
Hierarchical testing of dynamic structure models: a practical approach
3
17 11
18 25
19 125
20 29

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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