Theodor Misiakiewicz

440 total citations
7 papers, 60 citations indexed

About

Theodor Misiakiewicz is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Statistics and Probability. According to data from OpenAlex, Theodor Misiakiewicz has authored 7 papers receiving a total of 60 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Artificial Intelligence, 3 papers in Computer Vision and Pattern Recognition and 3 papers in Statistics and Probability. Recurrent topics in Theodor Misiakiewicz's work include Neural Networks and Applications (3 papers), Statistical Methods and Inference (2 papers) and Stochastic Gradient Optimization Techniques (2 papers). Theodor Misiakiewicz is often cited by papers focused on Neural Networks and Applications (3 papers), Statistical Methods and Inference (2 papers) and Stochastic Gradient Optimization Techniques (2 papers). Theodor Misiakiewicz collaborates with scholars based in United States, France and Brazil. Theodor Misiakiewicz's co-authors include Andrea Montanari, Mei Song, Behrooz Ghorbani, Roberto I. Oliveira, Lechao Xiao, Jeffrey Pennington and Yue M. Lu and has published in prestigious journals such as The Annals of Statistics, Applied and Computational Harmonic Analysis and Journal of Statistical Mechanics Theory and Experiment.

In The Last Decade

Theodor Misiakiewicz

6 papers receiving 55 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name	h						Papers	Cites
Theodor Misiakiewicz United States	5	37	16	15	14	10	7	60
Aymeric Dieuleveut France	4	38 1.0×	17 1.1×	17 1.1×	6 0.4×	3 0.3×	12	56
Xiyu Zhai United States	5	78 2.1×	16 1.0×	5 0.3×	25 1.8×	11 1.1×	5	95
Behrooz Ghorbani United States	4	47 1.3×	6 0.4×	9 0.6×	18 1.3×	11 1.1×	6	57
Colin Wei United States	4	63 1.7×	8 0.5×	4 0.3×	28 2.0×	8 0.8×	8	72
Michał Dereziński United States	4	24 0.6×	12 0.8×	10 0.7×	10 0.7×		18	43
Gauthier Gidel Canada	5	28 0.8×	16 1.0×	5 0.3×	6 0.4×	2 0.2×	12	36
Rahul Kidambi United States	5	31 0.8×	13 0.8×	4 0.3×	8 0.6×		12	40
Hippolyt Ritter United Kingdom	3	87 2.4×	7 0.4×	5 0.3×	42 3.0×	4 0.4×	7	99
Filip Hanzely Saudi Arabia	5	27 0.7×	16 1.0×	2 0.1×	4 0.3×	11 1.1×	8	63
Joern-Henrik Jacobsen Canada	6	87 2.4×	5 0.3×	4 0.3×	52 3.7×	20 2.0×	7	110

Countries citing papers authored by Theodor Misiakiewicz

Since Specialization

Citations

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

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

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7 of 7 papers shown

1.

Misiakiewicz, Theodor & Andrea Montanari. (2024). Six lectures on linearized neural networks. Journal of Statistical Mechanics Theory and Experiment. 2024(10). 104006–104006. 2 indexed citations

2.

Xiao, Lechao, et al.. (2023). Precise learning curves and higher-order scaling limits for dot-product kernel regression ^*. Journal of Statistical Mechanics Theory and Experiment. 2023(11). 114005–114005.

3.

Song, Mei, Theodor Misiakiewicz, & Andrea Montanari. (2021). Generalization error of random feature and kernel methods: Hypercontractivity and kernel matrix concentration. Applied and Computational Harmonic Analysis. 59. 3–84. 30 indexed citations

4.

Ghorbani, Behrooz, et al.. (2020). Discussion of: “Nonparametric regression using deep neural networks with ReLU activation function”. The Annals of Statistics. 48(4). 4 indexed citations

5.

Song, Mei, Theodor Misiakiewicz, & Andrea Montanari. (2019). Mean-field theory of two-layers neural networks: dimension-free bounds and kernel limit. Conference on Learning Theory. 2388–2464. 4 indexed citations

6.

Ghorbani, Behrooz, Mei Song, Theodor Misiakiewicz, & Andrea Montanari. (2019). Limitations of Lazy Training of Two-layers Neural Network. Neural Information Processing Systems. 32. 9108–9118. 16 indexed citations

7.

Song, Mei, Theodor Misiakiewicz, Andrea Montanari, & Roberto I. Oliveira. (2017). Solving SDPs for synchronization and MaxCut problems via the Grothendieck inequality. Conference on Learning Theory. 1476–1515. 4 indexed citations

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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