Stanislav Fort

1.8k total citations
5 papers, 28 citations indexed

About

Stanislav Fort is a scholar working on Artificial Intelligence, Nuclear and High Energy Physics and Astronomy and Astrophysics. According to data from OpenAlex, Stanislav Fort has authored 5 papers receiving a total of 28 indexed citations (citations by other indexed papers that have themselves been cited), including 3 papers in Artificial Intelligence, 2 papers in Nuclear and High Energy Physics and 1 paper in Astronomy and Astrophysics. Recurrent topics in Stanislav Fort's work include Stochastic Gradient Optimization Techniques (3 papers), Neural Networks and Applications (2 papers) and Sparse and Compressive Sensing Techniques (1 paper). Stanislav Fort is often cited by papers focused on Stochastic Gradient Optimization Techniques (3 papers), Neural Networks and Applications (2 papers) and Sparse and Compressive Sensing Techniques (1 paper). Stanislav Fort collaborates with scholars based in United States, United Kingdom and Poland. Stanislav Fort's co-authors include Bhaswati Bhattacharyya, C. C. Cheung, J. S. Deneva, F. Camilo, T. J. Johnson, A. K. Harding, B. W. Stappers, M. Kerr, H. J. Pletsch and Paul S. Ray and has published in prestigious journals such as The Astrophysical Journal, arXiv (Cornell University) and Neural Information Processing Systems.

In The Last Decade

Stanislav Fort

5 papers receiving 28 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Stanislav Fort United States	3	22	11	9	4	2	5	28
A. Trovato Italy	3	17 0.8×	8 0.7×	7 0.8×	7 1.8×	1 0.5×	6	25
Jakob T. Faber United States	3	37 1.7×	10 0.9×	4 0.4×	3 0.8×		6	46
B. Hughey United States	2	11 0.5×	7 0.6×	7 0.8×	3 0.8×		2	19
T. Tsutsui Japan	4	18 0.8×	8 0.7×	4 0.4×	2 0.5×		5	19
C. Stachie France	4	34 1.5×	12 1.1×	3 0.3×	5 1.3×		5	34
Michael Brodski Germany	3	8 0.4×	9 0.8×	6 0.7×	4 1.0×		7	24
G. Hemming Italy	3	19 0.9×	3 0.3×	8 0.9×	3 0.8×		6	19
H. Breytenbach South Africa	4	33 1.5×	8 0.7×	10 1.1×			8	35
M.-K. Fujimoto Japan	3	23 1.0×	9 0.8×	3 0.3×	2 0.5×		3	23
J. Sadiq Spain	4	49 2.2×	11 1.0×	3 0.3×	2 0.5×		7	59

Countries citing papers authored by Stanislav Fort

Since Specialization

Citations

This map shows the geographic impact of Stanislav Fort'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 Stanislav Fort with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Stanislav Fort more than expected).

Fields of papers citing papers by Stanislav Fort

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Stanislav Fort. 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 Stanislav Fort. The network helps show where Stanislav Fort may publish in the future.

Co-authorship network of co-authors of Stanislav Fort

This figure shows the co-authorship network connecting the top 25 collaborators of Stanislav Fort. A scholar is included among the top collaborators of Stanislav Fort 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 Stanislav Fort. Stanislav Fort is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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5 of 5 papers shown

1.

Fort, Stanislav, et al.. (2020). Deep learning versus kernel learning: an empirical study of loss landscape geometry and the time evolution of the Neural Tangent Kernel. Neural Information Processing Systems. 33. 5850–5861. 1 indexed citations

2.

Wilkins, Dan, S. W. Allen, Eric D. Miller, et al.. (2020). Identifying charged particle background events in x-ray imaging detectors with novel machine learning algorithms. 308–308. 4 indexed citations

3.

Jastrzȩbski, Stanisław, Stanislav Fort, Devansh Arpit, et al.. (2020). The Break-Even Point on Optimization Trajectories of Deep Neural Networks. arXiv (Cornell University). 3 indexed citations

4.

Fort, Stanislav & Stanisław Jastrzȩbski. (2019). Large Scale Structure of Neural Network Loss Landscapes. Neural Information Processing Systems. 32. 6706–6714. 1 indexed citations

5.

Johnson, T. J., Paul S. Ray, Jayanta Roy, et al.. (2015). DISCOVERY OF GAMMA-RAY PULSATIONS FROM THE TRANSITIONAL REDBACK PSR J1227-4853. The Astrophysical Journal. 806(1). 91–91. 19 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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