Zan Armstrong

8 papers receiving 294 citations

Peers

Zan Armstrong
Comparison fields: 5 of 94
  • Biophysics 27
  • Health Informatics 6
  • Artificial Intelligence 66
  • Computer Vision and Pattern Recognition 42
  • Molecular Biology 124
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Tian Cao China
Shaoqi Chen China
Håkan Wieslander Sweden
Zixu Wang China
Lucas C. Ribas Brazil
Yasha Ektefaie United States
Saga Helgadóttir Sweden
Benoît Lelandais France
Joshua Kangas United States
Jiahui Wen China
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Citations per year

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-authors

The 25 scholars most cited alongside Zan Armstrong, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Zan Armstrong Line = papers co-authored together Zan Armstrong links everyone, so they are left out of the graph.

All Works

8 of 8 papers shown
#Work
1 2021111
2 201984
3 202040
4 202129
5 201919
6 201410
7 20215
8 20171

About Zan Armstrong

Zan Armstrong is a scholar working on Molecular Biology, Computer Vision and Pattern Recognition, Artificial Intelligence, Biophysics and Genetics, having authored 8 papers that have together received 299 indexed citations. Recurring topics across this work include Cell Image Analysis Techniques (2 papers), RNA and protein synthesis mechanisms (1 paper), Statistics Education and Methodologies (1 paper), Digital Imaging for Blood Diseases (1 paper), Electronic and Structural Properties of Oxides (1 paper), Neurogenetic and Muscular Disorders Research (1 paper), Mosquito-borne diseases and control (1 paper) and Adversarial Robustness in Machine Learning (1 paper). The work is most often cited by research in Biophysics (27 citations), Health Informatics (6 citations), Artificial Intelligence (66 citations), Computer Vision and Pattern Recognition (42 citations) and Molecular Biology (124 citations). Zan Armstrong has collaborated with scholars based in United States and United Kingdom. Frequent co-authors include Ian Johnson, Shan Carter, Chris Olah, Ludwig Schubert, Michelle Dimon, Marc Berndl, Qin Yang, B. Scott Ferguson, Jinpeng Wang and Stephan Hoyer. Their work appears in journals such as Nature Communications, IEEE Transactions on Visualization and Computer Graphics, Scientific American, ACS Infectious Diseases and SLAS DISCOVERY.

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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