Lori Ziegelmeier

1.1k total citations
9 papers, 199 citations indexed

About

Lori Ziegelmeier is a scholar working on Computational Theory and Mathematics, Mathematical Physics and Computer Vision and Pattern Recognition. According to data from OpenAlex, Lori Ziegelmeier has authored 9 papers receiving a total of 199 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Computational Theory and Mathematics, 4 papers in Mathematical Physics and 3 papers in Computer Vision and Pattern Recognition. Recurrent topics in Lori Ziegelmeier's work include Topological and Geometric Data Analysis (6 papers), Homotopy and Cohomology in Algebraic Topology (4 papers) and Sparse and Compressive Sensing Techniques (1 paper). Lori Ziegelmeier is often cited by papers focused on Topological and Geometric Data Analysis (6 papers), Homotopy and Cohomology in Algebraic Topology (4 papers) and Sparse and Compressive Sensing Techniques (1 paper). Lori Ziegelmeier collaborates with scholars based in United States, United Kingdom and Denmark. Lori Ziegelmeier's co-authors include Chad M. Topaz, Tom Halverson, Chris Peterson, Michael Kirby, M. P. Ulmer, Henry Adams, Chad Giusti, Lu Li, Sofya Chepushtanova and Radmila Sazdanović and has published in prestigious journals such as PLoS ONE, SIAM Review and Frontiers in Artificial Intelligence.

In The Last Decade

Lori Ziegelmeier

9 papers receiving 186 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Lori Ziegelmeier United States	6	103	48	33	28	26	9	199
Siddharth Samsi United States	7	25 0.2×	11 0.2×	33 1.0×	27 1.0×	7 0.3×	29	233
María P. Vassileva Dominican Republic	12	218 2.1×	25 0.5×	17 0.5×	2 0.1×	24 0.9×	36	514
Xiajing Gong United States	9	38 0.4×	3 0.1×	46 1.4×	17 0.6×	8 0.3×	12	321
Clifford Smyth United States	8	108 1.0×	3 0.1×	14 0.4×	11 0.4×	9 0.3×	27	197
Slobodan Maletić Serbia	8	134 1.3×		48 1.5×	29 1.0×	19 0.7×	16	256
Weixiang Liu China	9	12 0.1×	9 0.2×	71 2.2×	106 3.8×	3 0.1×	20	305
Walter R. Bloom Australia	11	46 0.4×	16 0.3×	93 2.8×	12 0.4×	1 0.0×	49	673
Darren A. Narayan United States	10	87 0.8×	3 0.1×	22 0.7×	4 0.1×	2 0.1×	36	332
Silvia Heubach United States	8	80 0.8×	10 0.2×	14 0.4×	4 0.1×		24	222
Carol Willing United States	3	7 0.1×	6 0.1×	35 1.1×	8 0.3×	7 0.3×	3	204

Countries citing papers authored by Lori Ziegelmeier

Since Specialization

Citations

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

Fields of papers citing papers by Lori Ziegelmeier

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Lori Ziegelmeier

This figure shows the co-authorship network connecting the top 25 collaborators of Lori Ziegelmeier. A scholar is included among the top collaborators of Lori Ziegelmeier 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 Lori Ziegelmeier. Lori Ziegelmeier 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.

Adams, Henry, et al.. (2021). Capturing dynamics of time-varying data via topology. 4(1). 1–1. 11 indexed citations

2.

Li, Lu, et al.. (2021). Minimal Cycle Representatives in Persistent Homology Using Linear Programming: An Empirical Study With User’s Guide. Frontiers in Artificial Intelligence. 4. 681117–681117. 8 indexed citations

3.

Ulmer, M. P., Lori Ziegelmeier, & Chad M. Topaz. (2019). A topological approach to selecting models of biological experiments. PLoS ONE. 14(3). e0213679–e0213679. 18 indexed citations

4.

Adamaszek, Michał, Henry Adams, Radmila Sazdanović, et al.. (2018). Vietoris-Rips and Cech Complexes of Metric Gluings. DROPS (Schloss Dagstuhl – Leibniz Center for Informatics). 1 indexed citations

5.

Ziegelmeier, Lori, Michael Kirby, & Chris Peterson. (2017). Stratifying High-Dimensional Data Based on Proximity to the Convex Hull Boundary. SIAM Review. 59(2). 346–365. 2 indexed citations

6.

Ziegelmeier, Lori, Michael Kirby, & Chris Peterson. (2017). Sparse Locally Linear Embedding. Procedia Computer Science. 108. 635–644. 11 indexed citations

7.

Topaz, Chad M., Lori Ziegelmeier, & Tom Halverson. (2015). Topological Data Analysis of Biological Aggregation Models. PLoS ONE. 10(5). e0126383–e0126383. 95 indexed citations

8.

Ziegelmeier, Lori & Chad M. Topaz. (2015). Flipped Calculus: A Study of Student Performance and Perceptions. PRIMUS. 25(9-10). 847–860. 48 indexed citations

9.

Chepushtanova, Sofya, Michael Kirby, Chris Peterson, & Lori Ziegelmeier. (2015). An application of persistent homology on Grassmann manifolds for the detection of signals in hyperspectral imagery. 9088. 449–452. 5 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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