Márcio J. Lacerda
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- Stability and Control of Uncertain Systems 47
- Control Systems and Identification 23
- Advanced Control Systems Optimization 11
- Smart Grid Security and Resilience 10
- Fault Detection and Control Systems 9
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- Matrix Theory and Algorithms 15
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- Network Time Synchronization Technologies 6
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- Numerical methods for differential equations 6
- Co-authors
- Pedro L. D. PeresRicardo C. L. F. OliveiraReinaldo M. PalharesPeter SeilerErivelton G. NepomucenoValter J. S. LeiteCristiano Marcos AgulhariEduardo S. Tognetti
- Cited by
- Control and Systems EngineeringComputational Theory and MathematicsStatistical and Nonlinear Physics
- Journals
- Journal of the Franklin Institute (6 papers)IET Control Theory and Applications (4 papers)Chaos Solitons & Fractals (3 papers)
- Partner nations
- BrazilUnited KingdomChile
In The Last Decade
Márcio J. Lacerda
61 papers receiving 603 citations
Peers
Comparison fields: 5 of 54
- Control and Systems Engineering 525
- Computational Theory and Mathematics 99
- Statistical and Nonlinear Physics 66
- Computer Networks and Communications 120
- Numerical Analysis 25
Countries citing papers authored by Márcio J. Lacerda
This map shows the geographic impact of Márcio J. Lacerda'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 Márcio J. Lacerda with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Márcio J. Lacerda more than expected).
Fields of papers citing papers by Márcio J. Lacerda
This network shows the impact of papers produced by Márcio J. Lacerda. 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 Márcio J. Lacerda. The network helps show where Márcio J. Lacerda may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Márcio J. Lacerda, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2025 | 1 | |
| 2 | 2025 | 0 | |
| 3 | 2025 | 0 | |
| 4 | 2024 | 0 | |
| 5 | 2024 | 0 | |
| 6 | 2024 | 1 | |
| 7 | 2024 | 1 | |
| 8 | 2023 | 4 | |
| 9 | 2023 | 6 | |
| 10 | 2023 | 1 | |
| 11 | 2022 | 1 | |
| 12 | 2022 | 1 | |
| 13 | 2022 | 1 | |
| 14 | 2021 | 2 | |
| 15 | 2021 | 0 | |
| 16 | 2021 | 11 | |
| 17 | 2020 | 31 | |
| 18 | 2018 | 2 | |
| 19 | 2015 | 22 | |
| 20 | 2010 | 97 |
About Márcio J. Lacerda
Márcio J. Lacerda is a scholar working on Control and Systems Engineering, Numerical Analysis, Computational Theory and Mathematics, Statistical and Nonlinear Physics and Statistics, Probability and Uncertainty, having authored 70 papers that have together received 613 indexed citations. Recurring topics across this work include Stability and Control of Uncertain Systems (47 papers), Control Systems and Identification (23 papers), Matrix Theory and Algorithms (15 papers), Advanced Control Systems Optimization (11 papers), Smart Grid Security and Resilience (10 papers), Fault Detection and Control Systems (9 papers), Numerical methods for differential equations (6 papers) and Network Time Synchronization Technologies (6 papers). The work is most often cited by research in Control and Systems Engineering (525 citations), Computational Theory and Mathematics (99 citations), Statistical and Nonlinear Physics (66 citations), Computer Networks and Communications (120 citations) and Numerical Analysis (25 citations). Márcio J. Lacerda has collaborated with scholars based in Brazil, United Kingdom and Chile. Frequent co-authors include Pedro L. D. Peres, Ricardo C. L. F. Oliveira, Reinaldo M. Palhares, Peter Seiler, Erivelton G. Nepomuceno, Valter J. S. Leite, Cristiano Marcos Agulhari, Eduardo S. Tognetti, Bin Hu and Luis G. Crespo. Their work appears in journals such as Journal of the Franklin Institute, IET Control Theory and Applications, Chaos Solitons & Fractals, European Journal of Control and Information Sciences.
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.