Marcos V. Moreira

72 papers receiving 1.2k citations

Peers

Marcos V. Moreira
Comparison fields: 5 of 50
  • Computational Theory and Mathematics 901
  • Control and Systems Engineering 424
  • Industrial and Manufacturing Engineering 416
  • Computer Networks and Communications 259
  • Artificial Intelligence 164
Replace João Carlos Basilio with:
João Carlos Basilio Brazil
Jakob Mauss Germany
Mark Lawford Canada
Giuseppe Menga Italy
Karen Rudie Canada
Ernesto López-Mellado Mexico
Lilian K. Carvalho Brazil
Richard Zurawski Australia
Shigemasa Takai Japan
James H. Christensen United States
Marcos V. Moreira relative to João Carlos Basilio Brazil João Carlos Basilio's profile →
Citations per field
00.5×1.5×
João Carlos Basilio · 1×
Citations per year

Countries citing papers authored by Marcos V. Moreira

Since Specialization
Citations

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

Fields of papers citing papers by Marcos V. Moreira

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Marcos V. Moreira. 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 Marcos V. Moreira. The network helps show where Marcos V. Moreira may publish in the future.

Co-authorship network of co-authors of Marcos V. Moreira

This figure shows the co-authorship network connecting the top 25 collaborators of Marcos V. Moreira. A scholar is included among the top collaborators of Marcos V. Moreira 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 Marcos V. Moreira. Marcos V. Moreira 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
#WorkIndexed citations
1 0
2 0
3 4
4 1
5 1
6 5
7 1
8 1
9 7
10 2
11 26
12 1
13 48
14 37
15 1
16 121
17 6
18 3
19 8
20 27

About Marcos V. Moreira

Marcos V. Moreira is a scholar working on Computational Theory and Mathematics, Industrial and Manufacturing Engineering and Control and Systems Engineering, having authored 77 papers that have together received 1.2k indexed citations. Recurring topics across this work include Petri Nets in System Modeling (59 papers), Formal Methods in Verification (47 papers) and Flexible and Reconfigurable Manufacturing Systems (30 papers). The work is most often cited by research in Computational Theory and Mathematics (901 citations), Industrial and Manufacturing Engineering (416 citations) and Control and Systems Engineering (424 citations). Marcos V. Moreira has collaborated with scholars based in Brazil, France and United States. Frequent co-authors include João Carlos Basilio, Lilian K. Carvalho, Marcos V. S. Alves, Thiago C. Jesus, Stéphane Lafortune, Jean-Jacques Lesage, L.G.B. Rolim, Claudionor F. Nascimento, Anna Carla Araújo and Claudio M. de Farias. Their work appears in journals such as IEEE Transactions on Automatic Control, Automatica and Renewable Energy.

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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