Mario Sznaier

6.2k total citations
277 papers, 3.5k citations indexed

About

Mario Sznaier is a scholar working on Control and Systems Engineering, Computer Vision and Pattern Recognition and Artificial Intelligence. According to data from OpenAlex, Mario Sznaier has authored 277 papers receiving a total of 3.5k indexed citations (citations by other indexed papers that have themselves been cited), including 213 papers in Control and Systems Engineering, 48 papers in Computer Vision and Pattern Recognition and 40 papers in Artificial Intelligence. Recurrent topics in Mario Sznaier's work include Control Systems and Identification (157 papers), Advanced Control Systems Optimization (106 papers) and Fault Detection and Control Systems (84 papers). Mario Sznaier is often cited by papers focused on Control Systems and Identification (157 papers), Advanced Control Systems Optimization (106 papers) and Fault Detection and Control Systems (84 papers). Mario Sznaier collaborates with scholars based in United States, Italy and Israel. Mario Sznaier's 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 and has published in prestigious journals such as IEEE Transactions on Pattern Analysis and Machine Intelligence, IEEE Transactions on Automatic Control and Automatica.

In The Last Decade

Mario Sznaier

254 papers receiving 3.4k citations

Peers

Mario Sznaier
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
Replace G.W. Irwin with:
G.W. Irwin United Kingdom
Alessandro Chiuso Italy
Andrea Garulli Italy
Bo Wahlberg Sweden
Michel Fliess France
Paul J. Goulart United Kingdom
Chenglin Wen China
Christopher V. Rao United States
Melanie N. Zeilinger Switzerland
Ming Liu China
G.W. Irwin United Kingdom View profile →
Citations per field, relative to Mario Sznaier
Mario Sznaier · 1×
Citations per year, relative to Mario Sznaier
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Countries citing papers authored by Mario Sznaier

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

20 of 20 papers shown
# 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

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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