Marcelo D. Fragoso

5.0k citations
132 papers · 3.7k indexed · 2 hit papers · h-index 25

Marcelo D. Fragoso

112 papers receiving 3.5k citations

Hit Papers

Continuous-Time Markov Jump Linear Systems36820052026201220192505007501000

Peers

Marcelo D. Fragoso
Comparison fields: 5 of 95
  • Control and Systems Engineering 3.1k
  • Computational Theory and Mathematics 666
  • Computer Networks and Communications 868
  • Management Information Systems 180
  • Finance 187
Replace O.L.V. Costa with:
O.L.V. Costa Brazil
Mustapha Ait Rami Spain
El‐Kébir Boukas Canada
Han-Fu Chen China
Fabian Wirth Germany
Valery Ugrinovskii Australia
Ricardo Paulino Marques Brazil
Huisheng Shu China
M. Mariton France
Christian Commault France
Marcelo D. Fragoso relative to O.L.V. Costa Brazil O.L.V. Costa's profile →
Citations per field
00.5×1.5×
O.L.V. Costa · 1×
Citations per year

Countries citing papers authored by Marcelo D. Fragoso

Since Specialization
Citations

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

Fields of papers citing papers by Marcelo D. Fragoso

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Marcelo D. Fragoso. 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 Marcelo D. Fragoso. The network helps show where Marcelo D. Fragoso may publish in the future.

Co-authorship network

The 17 scholars most cited alongside Marcelo D. Fragoso, 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 Marcelo D. Fragoso Line = papers co-authored together Marcelo D. Fragoso links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 20250
2 20231
3 20219
4 20200
5 201626
6 201629
7 20142
8 20103
9 20085
10 20084
11 200720
12 200623
13 20059
14 200227
15 20014
16 1995172
17 1993427
18 19927
19 199120
20 19900

About Marcelo D. Fragoso

Marcelo D. Fragoso is a scholar working on Control and Systems Engineering, Finance and Management Information Systems, having authored 132 papers that have together received 3.7k indexed citations. Recurring topics across this work include Stability and Control of Uncertain Systems (67 papers), Control Systems and Identification (55 papers), Fault Detection and Control Systems (37 papers), Stochastic processes and financial applications (23 papers), Advanced Control Systems Optimization (19 papers), Matrix Theory and Algorithms (16 papers), Advanced Queuing Theory Analysis (14 papers) and Stability and Controllability of Differential Equations (13 papers). The work is most often cited by research in Control and Systems Engineering (3.1k citations), Computational Theory and Mathematics (666 citations) and Computer Networks and Communications (868 citations). Marcelo D. Fragoso has collaborated with scholars based in Brazil, Australia and United Kingdom. Frequent co-authors include O.L.V. Costa, Ricardo Paulino Marques, Marcos G. Todorov, Carlos E. de Souza, Lihua Xie, J.B.R. do Val, Edilson F. Arruda, Eduardo F. Costa, Elder M. Hemerly and Marinho G. Andrade. Their work appears in journals such as SIAM Journal on Control and Optimization, Systems & Control Letters, IEEE Transactions on Automatic Control, International Journal of Systems Science and Journal of Physics A Mathematical and Theoretical.

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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