Marcio Gameiro
- Materials Chemistry
- Computational Theory and Mathematics top 2%
- Statistical and Nonlinear Physics top 5%
- Mathematical Physics top 10%
- Electrical and Electronic Engineering
- Co-authors
- Konstantin MischaikowJean‐Philippe LessardScott A. BarnettJ. R. WilsonWilliam D. KaliesThomas WannerYasuaki HiraokaDaniel R. Mumm
- Topics
- Topological and Geometric Data Analysis (10 papers)Quantum chaos and dynamical systems (9 papers)Nonlinear Dynamics and Pattern Formation (8 papers)
- Partner nations
- United StatesBrazilJapan
In The Last Decade
Marcio Gameiro
36 papers receiving 663 citations
Peers
Comparison fields: 5 of 85
- Materials Chemistry 255
- Computational Theory and Mathematics 239
- Statistical and Nonlinear Physics 138
- Mathematical Physics 102
- Electrical and Electronic Engineering 90
Countries citing papers authored by Marcio Gameiro
This map shows the geographic impact of Marcio Gameiro'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 Marcio Gameiro with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Marcio Gameiro more than expected).
Fields of papers citing papers by Marcio Gameiro
This network shows the impact of papers produced by Marcio Gameiro. 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 Marcio Gameiro. The network helps show where Marcio Gameiro may publish in the future.
Co-authorship network of co-authors of Marcio Gameiro
This figure shows the co-authorship network connecting the top 25 collaborators of Marcio Gameiro. A scholar is included among the top collaborators of Marcio Gameiro 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 Marcio Gameiro. Marcio Gameiro is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 2 | |
| 2 | 1 | |
| 3 | 1 | |
| 4 | 3 | |
| 5 | 7 | |
| 6 | 10 | |
| 7 | 2 | |
| 8 | 2 | |
| 9 | 7 | |
| 10 | 6 | |
| 11 | 15 | |
| 12 | 11 | |
| 13 | Topological Measurement of Protein Compressibility via Persistence Diagrams | 22 |
| 14 | 1 | |
| 15 | 46 | |
| 16 | 89 | |
| 17 | Applications of computational homology to 3D morphology transitions | 1 |
| 18 | 25 | |
| 19 | 26 | |
| 20 | 15 |
About Marcio Gameiro
Marcio Gameiro is a scholar working on Computational Theory and Mathematics, Statistical and Nonlinear Physics and Numerical Analysis, having authored 40 papers that have together received 728 indexed citations. Recurring topics across this work include Topological and Geometric Data Analysis (10 papers), Quantum chaos and dynamical systems (9 papers) and Nonlinear Dynamics and Pattern Formation (8 papers). The work is most often cited by research in Computational Theory and Mathematics (239 citations), Numerical Analysis (69 citations) and Mathematical Physics (102 citations). Marcio Gameiro has collaborated with scholars based in United States, Brazil and Japan. Frequent co-authors include Konstantin Mischaikow, Jean‐Philippe Lessard, Scott A. Barnett, J. R. Wilson, William D. Kalies, Thomas Wanner, Yasuaki Hiraoka, Daniel R. Mumm, Anh T. Duong and Hsun‐Yi Chen. Their work appears in journals such as Acta Materialia, PLoS Computational Biology and Electrochemistry Communications.
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.