Zan Armstrong

628 total citations
8 papers, 281 citations indexed

About

Zan Armstrong is a scholar working on Molecular Biology, Computer Vision and Pattern Recognition and Artificial Intelligence. According to data from OpenAlex, Zan Armstrong has authored 8 papers receiving a total of 281 indexed citations (citations by other indexed papers that have themselves been cited), including 2 papers in Molecular Biology, 2 papers in Computer Vision and Pattern Recognition and 2 papers in Artificial Intelligence. Recurrent topics in Zan Armstrong's work include Cell Image Analysis Techniques (2 papers), Statistics Education and Methodologies (1 paper) and Bacterial Identification and Susceptibility Testing (1 paper). Zan Armstrong is often cited by papers focused on Cell Image Analysis Techniques (2 papers), Statistics Education and Methodologies (1 paper) and Bacterial Identification and Susceptibility Testing (1 paper). Zan Armstrong collaborates with scholars based in United States and United Kingdom. Zan Armstrong's co-authors include Shan Carter, Ludwig Schubert, Chris Olah, Ian Johnson, Michelle Dimon, Marc Berndl, George E. Dahl, B. Scott Ferguson, Alexander P. Scott and Ali Bashir and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Nature Communications and Science Advances.

In The Last Decade

Zan Armstrong

8 papers receiving 276 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Zan Armstrong United States	6	118	65	51	43	31	8	281
Håkan Wieslander Sweden	6	65 0.6×	74 1.1×	34 0.7×	41 1.0×	15 0.5×	9	247
Joshua Kangas United States	7	124 1.1×	46 0.7×	32 0.6×	37 0.9×	36 1.2×	11	255
Benoît Lelandais France	11	124 1.1×	28 0.4×	56 1.1×	33 0.8×	12 0.4×	19	332
Lucas C. Ribas Brazil	10	71 0.6×	29 0.4×	56 1.1×	74 1.7×	9 0.3×	26	283
Yasha Ektefaie United States	6	70 0.6×	80 1.2×	23 0.5×	17 0.4×	13 0.4×	8	279
Ava P. Amini United States	6	124 1.1×	64 1.0×	19 0.4×	43 1.0×	27 0.9×	12	277
Abdullahi Umar Ibrahim Cyprus	13	159 1.3×	164 2.5×	115 2.3×	52 1.2×	13 0.4×	32	583
Saga Helgadóttir Sweden	7	67 0.6×	17 0.3×	62 1.2×	18 0.4×	24 0.8×	9	286
Kurt De Grave Belgium	7	88 0.7×	112 1.7×	51 1.0×	37 0.9×	41 1.3×	14	294

Countries citing papers authored by Zan Armstrong

Since Specialization

Citations

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

Fields of papers citing papers by Zan Armstrong

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Zan Armstrong

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

All Works

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8 of 8 papers shown

1.

Bashir, Ali, Qin Yang, Jinpeng Wang, et al.. (2021). Machine learning guided aptamer refinement and discovery. Nature Communications. 12(1). 2366–2366. 97 indexed citations

2.

Coram, Marc, Lisha Wang, William J. Godinez, et al.. (2021). Morphological Characterization of Antibiotic Combinations. ACS Infectious Diseases. 8(1). 66–77. 5 indexed citations

3.

Yang, Lusann, Joel A. Haber, Zan Armstrong, et al.. (2021). Discovery of complex oxides via automated experiments and data science. Proceedings of the National Academy of Sciences. 118(37). 29 indexed citations

4.

Ashdown, George W., Michelle Dimon, Minjie Fan, et al.. (2020). A machine learning approach to define antimalarial drug action from heterogeneous cell-based screens. Science Advances. 6(39). 40 indexed citations

5.

Yang, Samuel, Scott Lipnick, Nina R. Makhortova, et al.. (2019). Applying Deep Neural Network Analysis to High-Content Image-Based Assays. SLAS DISCOVERY. 24(8). 829–841. 17 indexed citations

6.

Carter, Shan, Zan Armstrong, Ludwig Schubert, Ian Johnson, & Chris Olah. (2019). Activation Atlas. 4(3). 82 indexed citations

7.

Fischetti, Mark & Zan Armstrong. (2017). The Baby Spike. Scientific American. 317(1). 76–76. 1 indexed citations

8.

Armstrong, Zan & Martin Wattenberg. (2014). Visualizing Statistical Mix Effects and Simpson's Paradox. IEEE Transactions on Visualization and Computer Graphics. 20(12). 2132–2141. 10 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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