Fabiano Leal

48 papers receiving 525 citations

Peers

Fabiano Leal
Comparison fields: 5 of 84
  • Industrial and Manufacturing Engineering 253
  • Management Science and Operations Research 134
  • Management Information Systems 124
  • Building and Construction 59
  • Strategy and Management 54
Replace Alexandre Ferreira de Pinho with:
Alexandre Ferreira de Pinho Brazil
Slavko Vesković Serbia
Orlando Durán Chile
Saadettin Erhan Kesen Türkiye
José A. Oliveira Portugal
Rafael de Carvalho Miranda Brazil
Bahadır Gülsün Türkiye
Ki‐Young Jeong United States
Atiq W. Siddiqui Saudi Arabia
Ana Luísa Ramos Portugal
Fabiano Leal relative to Alexandre Ferreira de Pinho Brazil Alexandre Ferreira de Pinho's profile →
Citations per field
00.5×6.2×
Alexandre Ferreira de Pinho · 1×
Citations per year

Countries citing papers authored by Fabiano Leal

Since Specialization
Citations

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

Fields of papers citing papers by Fabiano Leal

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Fabiano Leal

This figure shows the co-authorship network connecting the top 25 collaborators of Fabiano Leal. A scholar is included among the top collaborators of Fabiano Leal 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 Fabiano Leal. Fabiano Leal 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 1
2 0
3 2
4 1
5 5
6 2
7 53
8
Brazilian Soybean Transportation Analysis Through Discrete Event Simulation
1
9
Evaluation of the Service Level of a Highway Toll Plaza in Brazil Using Computational Simulation
4
10 13
11 3
12 4
13 2
14 3
15 29
16 3
17
Economic evaluation of scenarios for manufacturing systems using discrete event simulation based experiments
6
18 42
19 51
20 36

About Fabiano Leal

Fabiano Leal is a scholar working on Management Information Systems, Industrial and Manufacturing Engineering and Management Science and Operations Research, having authored 52 papers that have together received 548 indexed citations. Recurring topics across this work include Manufacturing Process and Optimization (13 papers), Simulation Techniques and Applications (12 papers) and Quality and Supply Management (10 papers). The work is most often cited by research in Industrial and Manufacturing Engineering (253 citations), Management Information Systems (124 citations) and Management Science and Operations Research (134 citations). Fabiano Leal has collaborated with scholars based in Brazil, Denmark and United States. Frequent co-authors include José Arnaldo Barra Montevechi, Alexandre Ferreira de Pinho, Carlos Henrique dos Santos, Fernando Augusto Silva Marins, Rafael de Carvalho Miranda, Renato da Silva Lima, Carlos Henrique Pereira Mello, Eduardo Gomes Salgado, Carlos Eduardo Sanches da Silva and Eduardo Oliveira. Their work appears in journals such as SHILAP Revista de lepidopterología, Molecules and International Journal of Production Research.

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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