Artur Speiser

558 total citations
3 papers, 162 citations indexed

About

Artur Speiser is a scholar working on Biophysics, Structural Biology and Cognitive Neuroscience. According to data from OpenAlex, Artur Speiser has authored 3 papers receiving a total of 162 indexed citations (citations by other indexed papers that have themselves been cited), including 3 papers in Biophysics, 1 paper in Structural Biology and 1 paper in Cognitive Neuroscience. Recurrent topics in Artur Speiser's work include Advanced Fluorescence Microscopy Techniques (3 papers), Cell Image Analysis Techniques (2 papers) and Image Processing Techniques and Applications (1 paper). Artur Speiser is often cited by papers focused on Advanced Fluorescence Microscopy Techniques (3 papers), Cell Image Analysis Techniques (2 papers) and Image Processing Techniques and Applications (1 paper). Artur Speiser collaborates with scholars based in Germany, United Kingdom and United States. Artur Speiser's co-authors include Jakob H. Macke, Srinivas C. Turaga, Lucas-Raphael Müller, Christopher J. Obara, Wesley R. Legant, Jonas Ries, Anna Kreshuk, Ulf Matti, Philipp Hoess and Lars Buesing and has published in prestigious journals such as Nature Methods and MPG.PuRe (Max Planck Society).

In The Last Decade

Artur Speiser

3 papers receiving 153 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Artur Speiser Germany 3 130 45 42 39 20 3 162
Sven Proppert Germany 5 148 1.1× 84 1.9× 71 1.7× 36 0.9× 21 1.1× 5 210
Alyson Petruncio United States 3 62 0.5× 40 0.9× 88 2.1× 15 0.4× 12 0.6× 4 194
Jerry Chao United States 5 185 1.4× 90 2.0× 64 1.5× 69 1.8× 31 1.6× 11 244
Shane Stahlheber United States 3 194 1.5× 72 1.6× 49 1.2× 110 2.8× 37 1.9× 3 247
Rafal Kowalewski Germany 4 133 1.0× 59 1.3× 98 2.3× 51 1.3× 11 0.6× 6 236
Daichi Kamiyama United States 6 208 1.6× 57 1.3× 101 2.4× 100 2.6× 34 1.7× 7 273
Boris Ferdman Israel 8 133 1.0× 41 0.9× 34 0.8× 110 2.8× 58 2.9× 17 226
Shiqun Zhao China 6 64 0.5× 18 0.4× 72 1.7× 41 1.1× 22 1.1× 14 194
Alfred Millett-Sikking United States 6 95 0.7× 21 0.5× 38 0.9× 47 1.2× 63 3.1× 11 175
Donghan Ma United States 9 150 1.2× 80 1.8× 48 1.1× 111 2.8× 47 2.4× 20 300

Countries citing papers authored by Artur Speiser

Since Specialization
Citations

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

Fields of papers citing papers by Artur Speiser

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Artur Speiser

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

All Works

3 of 3 papers shown
1.
Speiser, Artur, Lucas-Raphael Müller, Philipp Hoess, et al.. (2021). Deep learning enables fast and dense single-molecule localization with high accuracy. Nature Methods. 18(9). 1082–1090. 152 indexed citations
2.
Speiser, Artur, Srinivas C. Turaga, & Jakob H. Macke. (2019). Teaching deep neural networks to localize sources in super-resolution microscopy by combining simulation-based learning and unsupervised learning. MPG.PuRe (Max Planck Society). 4 indexed citations
3.
Speiser, Artur, Jinyao Yan, Evan Archer, et al.. (2017). Fast amortized inference of neural activity from calcium imaging data with variational autoencoders. MPG.PuRe (Max Planck Society). 30. 4024–4034. 6 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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Breakdown of academic impact, for papers by Sven Proppert Breakdown of academic impact, for papers by Alyson Petruncio Breakdown of academic impact, for papers by Jerry Chao Breakdown of academic impact, for papers by Shane Stahlheber Breakdown of academic impact, for papers by Rafal Kowalewski Breakdown of academic impact, for papers by Daichi Kamiyama Breakdown of academic impact, for papers by Boris Ferdman Breakdown of academic impact, for papers by Shiqun Zhao Breakdown of academic impact, for papers by Alfred Millett-Sikking Breakdown of academic impact, for papers by Donghan Ma
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2026