Theodor Misiakiewicz
- Artificial Intelligence
- Computational Mechanics
- Statistics and Probability
- Computer Vision and Pattern Recognition
- Statistical and Nonlinear Physics
- Co-authors
- Andrea MontanariMei SongBehrooz GhorbaniRoberto I. OliveiraYue M. LuJeffrey PenningtonLechao Xiao
- Topics
- Neural Networks and Applications (3 papers)Statistical Methods and Inference (2 papers)Stochastic Gradient Optimization Techniques (2 papers)
- Journals
- The Annals of StatisticsApplied and Computational Harmonic AnalysisJournal of Statistical Mechanics Theory and Experiment
- Partner nations
- United StatesBrazilFrance
In The Last Decade
Theodor Misiakiewicz
6 papers receiving 55 citations
Peers
Comparison fields: 5 of 28
- Artificial Intelligence 37
- Computational Mechanics 16
- Statistics and Probability 15
- Computer Vision and Pattern Recognition 14
- Statistical and Nonlinear Physics 10
Countries citing papers authored by Theodor Misiakiewicz
This map shows the geographic impact of Theodor Misiakiewicz'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 Theodor Misiakiewicz with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Theodor Misiakiewicz more than expected).
Fields of papers citing papers by Theodor Misiakiewicz
This network shows the impact of papers produced by Theodor Misiakiewicz. 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 Theodor Misiakiewicz. The network helps show where Theodor Misiakiewicz may publish in the future.
Co-authorship network of co-authors of Theodor Misiakiewicz
This figure shows the co-authorship network connecting the top 25 collaborators of Theodor Misiakiewicz. A scholar is included among the top collaborators of Theodor Misiakiewicz 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 Theodor Misiakiewicz. Theodor Misiakiewicz 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 | 0 | |
| 3 | 30 | |
| 4 | 4 | |
| 5 | Limitations of Lazy Training of Two-layers Neural Network | 16 |
| 6 | Mean-field theory of two-layers neural networks: dimension-free bounds and kernel limit | 4 |
| 7 | Solving SDPs for synchronization and MaxCut problems via the Grothendieck inequality | 4 |
About Theodor Misiakiewicz
Theodor Misiakiewicz is a scholar working on Statistics and Probability, Artificial Intelligence and Numerical Analysis, having authored 7 papers that have together received 60 indexed citations. Recurring topics across this work include Neural Networks and Applications (3 papers), Statistical Methods and Inference (2 papers) and Stochastic Gradient Optimization Techniques (2 papers). The work is most often cited by research in Statistics and Probability (15 citations), Artificial Intelligence (37 citations) and Statistical and Nonlinear Physics (10 citations). Theodor Misiakiewicz has collaborated with scholars based in United States, Brazil and France. Frequent co-authors include Andrea Montanari, Mei Song, Behrooz Ghorbani, Roberto I. Oliveira, Yue M. Lu, Jeffrey Pennington and Lechao Xiao. Their work appears in journals such as The Annals of Statistics, Applied and Computational Harmonic Analysis and Journal of Statistical Mechanics Theory and Experiment.
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.