Alexander Krull

5.3k total citations · 3 hit papers
23 papers, 2.1k citations indexed

About

Alexander Krull is a scholar working on Computer Vision and Pattern Recognition, Media Technology and Biophysics. According to data from OpenAlex, Alexander Krull has authored 23 papers receiving a total of 2.1k indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Computer Vision and Pattern Recognition, 7 papers in Media Technology and 7 papers in Biophysics. Recurrent topics in Alexander Krull's work include Image Processing Techniques and Applications (7 papers), Cell Image Analysis Techniques (7 papers) and Robotics and Sensor-Based Localization (6 papers). Alexander Krull is often cited by papers focused on Image Processing Techniques and Applications (7 papers), Cell Image Analysis Techniques (7 papers) and Robotics and Sensor-Based Localization (6 papers). Alexander Krull collaborates with scholars based in Germany, United Kingdom and Croatia. Alexander Krull's co-authors include Florian Jug, Tim-Oliver Buchholz, Carsten Rother, Eric Brachmann, Frank Michel, Stefan Gumhold, Michael Ying Yang, Sebastian Nowozin, Jamie Shotton and P. B. Hirsch and has published in prestigious journals such as Cell, Physical Review Letters and Nature Communications.

In The Last Decade

Alexander Krull

22 papers receiving 2.0k citations

Hit Papers

Noise2Void - Learning Denoising From Single Noisy Images 2016 2026 2019 2022 2019 2017 2016 200 400 600

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Alexander Krull Germany 15 1.2k 673 320 286 263 23 2.1k
Jonathan M. Taylor United Kingdom 28 1.6k 1.4× 311 0.5× 514 1.6× 123 0.4× 505 1.9× 83 3.1k
Edward Rosten United Kingdom 13 1.8k 1.5× 1.2k 1.8× 36 0.1× 240 0.8× 209 0.8× 26 2.6k
Alex Bronstein Israel 28 1.8k 1.5× 317 0.5× 42 0.1× 291 1.0× 196 0.7× 100 2.8k
Yaron Caspi Israel 20 1.2k 1.0× 165 0.2× 109 0.3× 140 0.5× 299 1.1× 34 2.0k
Takahiro Ikeda Japan 12 673 0.6× 96 0.1× 83 0.3× 265 0.9× 713 2.7× 66 1.7k
Meirav Galun Israel 21 1.3k 1.1× 134 0.2× 44 0.1× 169 0.6× 100 0.4× 41 1.8k
Natan T. Shaked Israel 32 1.2k 1.0× 83 0.1× 97 0.3× 1.0k 3.6× 1.1k 4.2× 136 3.4k
Filiz Bunyak United States 24 993 0.9× 198 0.3× 13 0.0× 205 0.7× 115 0.4× 117 1.8k
Martin Rumpf Germany 32 956 0.8× 114 0.2× 77 0.2× 96 0.3× 153 0.6× 131 2.8k
Yiying Tong United States 33 1.8k 1.5× 95 0.1× 299 0.9× 21 0.1× 114 0.4× 107 3.9k

Countries citing papers authored by Alexander Krull

Since Specialization
Citations

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

Fields of papers citing papers by Alexander Krull

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Alexander Krull

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

All Works

20 of 20 papers shown
1.
Yoshioka, Yusuke, et al.. (2025). High throughput analysis of rare nanoparticles with deep-enhanced sensitivity via unsupervised denoising. Nature Communications. 16(1). 1728–1728. 1 indexed citations
2.
Salmon, Benjamin & Alexander Krull. (2025). Unsupervised Denoising for Signal-Dependent and Row-Correlated Imaging Noise. University of Birmingham Research Portal (University of Birmingham). 2379–2389.
3.
Krull, Alexander, et al.. (2024). Image Denoising and the Generative Accumulation of Photons. University of Birmingham Research Portal (University of Birmingham). 1517–1526. 4 indexed citations
4.
Salmon, Benjamin & Alexander Krull. (2023). Direct Unsupervised Denoising. 3840–3847. 2 indexed citations
5.
Laine, Romain F., Guillaume Jacquemet, & Alexander Krull. (2021). Imaging in focus: An introduction to denoising bioimages in the era of deep learning. The International Journal of Biochemistry & Cell Biology. 140. 106077–106077. 48 indexed citations
6.
Krull, Alexander, et al.. (2020). DivNoising: Diversity Denoising with Fully Convolutional Variational Autoencoders.. arXiv (Cornell University). 3 indexed citations
7.
Krull, Alexander, P. B. Hirsch, Carsten Rother, Agustin Schiffrin, & Cornelius Krull. (2020). Artificial-intelligence-driven scanning probe microscopy. Communications Physics. 3(1). 128 indexed citations
8.
Krull, Alexander, Tim-Oliver Buchholz, & Florian Jug. (2019). Noise2Void - Learning Denoising From Single Noisy Images. University of Birmingham Research Portal (University of Birmingham). 2124–2132. 709 indexed citations breakdown →
9.
Buchholz, Tim-Oliver, Alexander Krull, Réza Shahidi, et al.. (2019). Content-aware image restoration for electron microscopy. Methods in cell biology. 152. 277–289. 82 indexed citations
10.
Brachmann, Eric, Alexander Krull, Sebastian Nowozin, et al.. (2017). DSAC — Differentiable RANSAC for Camera Localization. 2492–2500. 339 indexed citations breakdown →
11.
Krull, Alexander, Eric Brachmann, Sebastian Nowozin, et al.. (2017). PoseAgent: Budget-Constrained 6D Object Pose Estimation via Reinforcement Learning. 2566–2574. 25 indexed citations
12.
Michel, Frank, Alexander Kirillov, Eric Brachmann, et al.. (2017). Global Hypothesis Generation for 6D Object Pose Estimation. 115–124. 67 indexed citations
13.
Cojoc, Gheorghe, Alexander Krull, Anna H. Klemm, et al.. (2016). Paired arrangement of kinetochores together with microtubule pivoting and dynamics drive kinetochore capture in meiosis I. Scientific Reports. 6(1). 25736–25736. 9 indexed citations
14.
Brachmann, Eric, Frank Michel, Alexander Krull, et al.. (2016). Uncertainty-Driven 6D Pose Estimation of Objects and Scenes from a Single RGB Image. University of Twente Research Information. 3364–3372. 311 indexed citations breakdown →
15.
Michel, Frank, Alexander Krull, Eric Brachmann, et al.. (2015). Pose Estimation of Kinematic Chain Instances via Object Coordinate Regression. 181.1–181.11. 25 indexed citations
16.
Glunčić, Matko, Nicola Maghelli, Alexander Krull, et al.. (2015). Kinesin-8 Motors Improve Nuclear Centering by Promoting Microtubule Catastrophe. Physical Review Letters. 114(7). 78103–78103. 17 indexed citations
17.
Krull, Alexander, Eric Brachmann, Frank Michel, et al.. (2015). Learning Analysis-by-Synthesis for 6D Pose Estimation in RGB-D Images. 954–962. 111 indexed citations
18.
Krull, Alexander, et al.. (2014). A divide and conquer strategy for the maximum likelihood localization of low intensity objects. Optics Express. 22(1). 210–210. 31 indexed citations
19.
Ananthanarayanan, Vaishnavi, Martin Schattat, Sven Vogel, et al.. (2013). Dynein Motion Switches from Diffusive to Directed upon Cortical Anchoring. Cell. 153(7). 1526–1536. 70 indexed citations
20.
Nandi, Amitabha, Petrina Delivani, Mariola R. Chacón, et al.. (2012). Pivoting of microtubules around the spindle pole accelerates kinetochore capture. Nature Cell Biology. 15(1). 82–87. 55 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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