Nathaniel Saul

9.5k total citations · 1 hit paper
6 papers, 4.7k citations indexed

About

Nathaniel Saul is a scholar working on Computer Vision and Pattern Recognition, Computational Theory and Mathematics and Environmental Chemistry. According to data from OpenAlex, Nathaniel Saul has authored 6 papers receiving a total of 4.7k indexed citations (citations by other indexed papers that have themselves been cited), including 2 papers in Computer Vision and Pattern Recognition, 2 papers in Computational Theory and Mathematics and 1 paper in Environmental Chemistry. Recurrent topics in Nathaniel Saul's work include Topological and Geometric Data Analysis (2 papers), Image Retrieval and Classification Techniques (1 paper) and Digital Image Processing Techniques (1 paper). Nathaniel Saul is often cited by papers focused on Topological and Geometric Data Analysis (2 papers), Image Retrieval and Classification Techniques (1 paper) and Digital Image Processing Techniques (1 paper). Nathaniel Saul collaborates with scholars based in United States, Netherlands and Indonesia. Nathaniel Saul's co-authors include Lukas Großberger, Leland McInnes, John Healy, David Eargle, Yi Guo and Brian Bingham and has published in prestigious journals such as Figshare, The Journal of Open Source Software and Zenodo (CERN European Organization for Nuclear Research).

In The Last Decade

Nathaniel Saul

6 papers receiving 4.7k citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

UMAP: Uniform Manifold Approximation and Projection

2018 4.6k citations Leland McInnes, John Healy et al. The Journal of Open Source Software profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Nathaniel Saul United States	5	1.8k	837	517	404	379	6	4.7k
Lukas Großberger Germany	3	1.8k 1.0×	820 1.0×	486 0.9×	361 0.9×	379 1.0×	4	4.6k
Olli Yli‐Harja Finland	37	2.7k 1.5×	430 0.5×	531 1.0×	506 1.3×	130 0.3×	230	4.9k
Kun Huang United States	44	2.8k 1.6×	1.1k 1.4×	677 1.3×	349 0.9×	369 1.0×	325	6.7k
John Healy United States	5	3.8k 2.1×	1.4k 1.7×	720 1.4×	705 1.7×	1.1k 3.0×	6	9.0k
Leland McInnes United States	7	3.8k 2.1×	1.4k 1.7×	726 1.4×	708 1.8×	1.1k 3.0×	9	9.0k
Xiaobo Zhou United States	42	2.9k 1.6×	759 0.9×	859 1.7×	1.2k 3.0×	141 0.4×	249	5.9k
Mauricio Barahona United Kingdom	37	3.2k 1.7×	478 0.6×	127 0.2×	331 0.8×	241 0.6×	169	7.8k
Píetro Lió United Kingdom	53	5.8k 3.2×	1.5k 1.8×	506 1.0×	204 0.5×	865 2.3×	444	12.8k
David M. Rocke United States	52	3.3k 1.8×	893 1.1×	276 0.5×	139 0.3×	284 0.7×	209	11.0k
Guido Sanguinetti United Kingdom	37	2.6k 1.4×	488 0.6×	252 0.5×	172 0.4×	117 0.3×	135	4.2k

Countries citing papers authored by Nathaniel Saul

Since Specialization

Citations

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

Fields of papers citing papers by Nathaniel Saul

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Nathaniel Saul

This figure shows the co-authorship network connecting the top 25 collaborators of Nathaniel Saul. A scholar is included among the top collaborators of Nathaniel Saul 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 Nathaniel Saul. Nathaniel Saul 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:

6 of 6 papers shown

1.

Saul, Nathaniel. (2021). scikit-tda/scikit-tda: sunsetting cechmate. Zenodo (CERN European Organization for Nuclear Research). 1 indexed citations

2.

Saul, Nathaniel, et al.. (2019). Kepler Mapper: A flexible Python implementation of the Mapper algorithm.. The Journal of Open Source Software. 4(42). 1315–1315. 47 indexed citations

3.

Saul, Nathaniel, et al.. (2018). Ripser.py: A Lean Persistent Homology Library for Python. The Journal of Open Source Software. 3(29). 925–925. 107 indexed citations

4.

McInnes, Leland, John Healy, Nathaniel Saul, & Lukas Großberger. (2018). UMAP: Uniform Manifold Approximation and Projection. The Journal of Open Source Software. 3(29). 861–861. 4554 indexed citations breakdown →

5.

Saul, Nathaniel, et al.. (2017). MLWave/kepler-mapper: 186f. Figshare. 10 indexed citations

6.

Saul, Nathaniel, et al.. (2015). Robotic simulation of dynamic plume tracking by Unmanned Surface Vessels. 2654–2659. 21 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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