Anna Seigal

525 total citations
9 papers, 25 citations indexed

About

Anna Seigal is a scholar working on Computational Mathematics, Computational Theory and Mathematics and Artificial Intelligence. According to data from OpenAlex, Anna Seigal has authored 9 papers receiving a total of 25 indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Computational Mathematics, 4 papers in Computational Theory and Mathematics and 3 papers in Artificial Intelligence. Recurrent topics in Anna Seigal's work include Tensor decomposition and applications (4 papers), Markov Chains and Monte Carlo Methods (3 papers) and Sparse and Compressive Sensing Techniques (2 papers). Anna Seigal is often cited by papers focused on Tensor decomposition and applications (4 papers), Markov Chains and Monte Carlo Methods (3 papers) and Sparse and Compressive Sensing Techniques (2 papers). Anna Seigal collaborates with scholars based in United States, United Kingdom and Germany. Anna Seigal's co-authors include Max J. Pfeffer, Bernd Sturmfels, Sergeî Yakovenko, Heather A. Harrington, Vidit Nanda, Kexin Wang, Terry Lyons and Peter K. Friz and has published in prestigious journals such as Bulletin of the London Mathematical Society, SIAM Journal on Matrix Analysis and Applications and Israel Journal of Mathematics.

In The Last Decade

Anna Seigal

7 papers receiving 22 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Anna Seigal United States	4	10	8	8	6	5	9	25
G. Y. Zhang China	2	10 1.0×	6 0.8×	2 0.3×	4 0.7×	1 0.2×	3	18
J. Zając Poland	4	4 0.4×	18 2.3×	4 0.5×	5 0.8×		11	48
Jason Rute United States	3	24 2.4×	14 1.8×	8 1.0×	16 2.7×		8	34
Yuri Burda Canada	3	2 0.2×	5 0.6×	16 2.0×	3 0.5×		8	30
Frederick L. Hoffman Israel	4	19 1.9×	12 1.5×	5 0.6×	2 0.3×		15	49
Ismail Yunus Akhalwaya South Africa	3	5 0.5×	2 0.3×	12 1.5×	2 0.3×		6	18
Henry J. Stephen Smith	2	4 0.4×	12 1.5×	12 1.5×	7 1.2×		2	41
Mike Stay United States	2	6 0.6×	2 0.3×	7 0.9×	1 0.2×		4	17
S. Lusin Italy	3	18 1.8×	3 0.4×	29 3.6×	2 0.3×		4	32
Loo-Keng Hua United States	3	7 0.7×	11 1.4×	1 0.1×	5 0.8×		5	51

Countries citing papers authored by Anna Seigal

Since Specialization

Citations

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

Fields of papers citing papers by Anna Seigal

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Anna Seigal

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

All Works

Sort: Min cites: Since: Top N: Style:

9 of 9 papers shown

1.

Friz, Peter K., Terry Lyons, & Anna Seigal. (2024). Rectifiable paths with polynomial log‐signature are straight lines. Bulletin of the London Mathematical Society. 56(9). 2922–2934.

2.

Seigal, Anna, et al.. (2024). Differential Equations for Gaussian Statistical Models with Rational Maximum Likelihood Estimator. CINECA IRIS Institutial Research Information System (University of Genoa). 8(3). 465–492.

3.

Seigal, Anna, et al.. (2023). Symmetries in directed Gaussian graphical models. Electronic Journal of Statistics. 17(2). 1 indexed citations

4.

Wang, Kexin & Anna Seigal. (2023). Lower bounds on the rank and symmetric rank of real tensors. Journal of Symbolic Computation. 118. 69–92. 1 indexed citations

5.

Seigal, Anna, Heather A. Harrington, & Vidit Nanda. (2022). Principal Components Along Quiver Representations. Foundations of Computational Mathematics. 23(4). 1129–1165. 5 indexed citations

6.

Seigal, Anna, et al.. (2021). Toric invariant theory for maximum likelihood estimation in log-linear models. arXiv (Cornell University). 12(2). 187–211. 3 indexed citations

7.

Pfeffer, Max J., Anna Seigal, & Bernd Sturmfels. (2019). Learning Paths from Signature Tensors. SIAM Journal on Matrix Analysis and Applications. 40(2). 394–416. 11 indexed citations

8.

Seigal, Anna. (2019). Structured Tensors and the Geometry of Data. eScholarship (California Digital Library). 1 indexed citations

9.

Seigal, Anna & Sergeî Yakovenko. (2014). Local dynamics of intersections: V. I. Arnold’s theorem revisited. Israel Journal of Mathematics. 201(2). 813–833. 3 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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