Erick Moen

2.7k citations
15 papers · 976 indexed · 1 hit paper · h-index 9

Impact in

Papers in

    • Microbial Inactivation Methods 11
    • Listeria monocytogenes in Food Safety 2
    • Cell Image Analysis Techniques 2

Erick Moen

15 papers receiving 966 citations

Hit Papers

Deep learning for cellular image analysis 2019 · 737 citations
7372019202620212023200400600

Peers

Erick Moen
Comparison fields: 5 of 133
  • Biophysics 464
  • Structural Biology 30
  • Media Technology 159
  • Biotechnology 107
  • Health Informatics 10
Replace Kyle W. Karhohs with:
Kyle W. Karhohs United States
David Van Valen United States
Allen Goodman United States
Alison O’Neil United States
Minh Doan United States
Claire McQuin United States
Mark‐Anthony Bray United States
Andrew R. Cohen United States
Yoann Le Montagner France
Yingke Xu China
Erick Moen relative to Kyle W. Karhohs United States Kyle W. Karhohs's profile →
Citations per field
00.5×1.5×2.3×
Kyle W. Karhohs · 1×
Citations per year

Countries citing papers authored by Erick Moen

Since Specialization
Citations

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

Fields of papers citing papers by Erick Moen

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

The 25 scholars most cited alongside Erick Moen, 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 Erick Moen Line = papers co-authored together Erick Moen links everyone, so they are left out of the graph.

All Works

15 of 15 papers shown
#Work
1 202186
2
Deep learning for cellular image analysis
Hit paper breakdown →
2019737
3 201912
4 201822
5 201737
6 20178
7 20169
8 201616
9 201612
10 20168
11 20161
12 20152
13 20152
14 201419
15 20135

About Erick Moen

Erick Moen is a scholar working on Biotechnology, Biophysics, Media Technology, Physiology and Cellular and Molecular Neuroscience, having authored 15 papers that have together received 976 indexed citations. Recurring topics across this work include Microbial Inactivation Methods (11 papers), Microfluidic and Bio-sensing Technologies (9 papers), Neuroscience and Neural Engineering (3 papers), Photoreceptor and optogenetics research (2 papers), Image Processing Techniques and Applications (2 papers), Cell Image Analysis Techniques (2 papers), Listeria monocytogenes in Food Safety (2 papers) and Toxin Mechanisms and Immunotoxins (1 paper). The work is most often cited by research in Biophysics (464 citations), Structural Biology (30 citations), Media Technology (159 citations), Biotechnology (107 citations) and Health Informatics (10 citations). Erick Moen has collaborated with scholars based in United States and Norway. Frequent co-authors include David Van Valen, Dylan Bannon, Takamasa Kudo, William D. Graf, Markus W. Covert, Bennett L. Ibey, Hope T. Beier, Caleb C. Roth, Erik Osterman and Morgan Schwartz. Their work appears in journals such as Nature Methods, Scientific Reports, Bioelectromagnetics, Biochimica et Biophysica Acta (BBA) - Biomembranes and Applied Physics Letters.

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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