Mario Sznaier
- Control and Systems Engineering top 0.5%
- Computer Vision and Pattern Recognition top 1%
- Artificial Intelligence top 2%
- Biomedical Engineering top 10%
- Aerospace Engineering top 5%
- Co-authors
- Octavia CampsRicardo Sánchez‐PeñaConstantino LagoaM.J. DamborgFranco BlanchiniNecmiye ÖzayCaglayan DicleMustafa Ayazoğlu
- Topics
- Control Systems and Identification (157 papers)Advanced Control Systems Optimization (106 papers)Fault Detection and Control Systems (84 papers)
- Cited by
- Control and Systems EngineeringComputer Vision and Pattern RecognitionStatistics, Probability and Uncertainty
- Journals
- IEEE Transactions on Pattern Analysis and Machine IntelligenceIEEE Transactions on Automatic ControlAutomatica
- Partner nations
- United StatesItalyIsrael
In The Last Decade
Mario Sznaier
254 papers receiving 3.4k citations
Peers
Comparison fields: 5 of 127
- Control and Systems Engineering 2.2k
- Computer Vision and Pattern Recognition 869
- Artificial Intelligence 532
- Biomedical Engineering 255
- Aerospace Engineering 253
Countries citing papers authored by Mario Sznaier
This map shows the geographic impact of Mario Sznaier'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 Mario Sznaier with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Mario Sznaier more than expected).
Fields of papers citing papers by Mario Sznaier
This network shows the impact of papers produced by Mario Sznaier. 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 Mario Sznaier. The network helps show where Mario Sznaier may publish in the future.
Co-authorship network of co-authors of Mario Sznaier
This figure shows the co-authorship network connecting the top 25 collaborators of Mario Sznaier. A scholar is included among the top collaborators of Mario Sznaier 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 Mario Sznaier. Mario Sznaier is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 1 | |
| 3 | 0 | |
| 4 | 1 | |
| 5 | 1 | |
| 6 | 3 | |
| 7 | 0 | |
| 8 | 32 | |
| 9 | Solving Interpretable Kernel Dimensionality Reduction | 5 |
| 10 | 1 | |
| 11 | 5 | |
| 12 | 30 | |
| 13 | 16 | |
| 14 | 4 | |
| 15 | 24 | |
| 16 | 3 | |
| 17 | 4 | |
| 18 | 16 | |
| 19 | 48 | |
| 20 | 19 |
About Mario Sznaier
Mario Sznaier is a scholar working on Control and Systems Engineering, Statistics, Probability and Uncertainty and Numerical Analysis, having authored 277 papers that have together received 3.5k indexed citations. Recurring topics across this work include Control Systems and Identification (157 papers), Advanced Control Systems Optimization (106 papers) and Fault Detection and Control Systems (84 papers). The work is most often cited by research in Control and Systems Engineering (2.2k citations), Computer Vision and Pattern Recognition (869 citations) and Statistics, Probability and Uncertainty (178 citations). Mario Sznaier has collaborated with scholars based in United States, Italy and Israel. Frequent co-authors include Octavia Camps, Ricardo Sánchez‐Peña, Constantino Lagoa, M.J. Damborg, Franco Blanchini, Necmiye Özay, Caglayan Dicle, Mustafa Ayazoğlu, Tamer Inanc and Tao Ding. Their work appears in journals such as IEEE Transactions on Pattern Analysis and Machine Intelligence, IEEE Transactions on Automatic Control and Automatica.
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.