Timo Dickscheid

2.4k total citations · 1 hit paper
29 papers, 1.1k citations indexed

About

Timo Dickscheid is a scholar working on Radiology, Nuclear Medicine and Imaging, Cognitive Neuroscience and Computer Vision and Pattern Recognition. According to data from OpenAlex, Timo Dickscheid has authored 29 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 16 papers in Radiology, Nuclear Medicine and Imaging, 14 papers in Cognitive Neuroscience and 11 papers in Computer Vision and Pattern Recognition. Recurrent topics in Timo Dickscheid's work include Functional Brain Connectivity Studies (14 papers), Advanced Neuroimaging Techniques and Applications (14 papers) and Neural dynamics and brain function (7 papers). Timo Dickscheid is often cited by papers focused on Functional Brain Connectivity Studies (14 papers), Advanced Neuroimaging Techniques and Applications (14 papers) and Neural dynamics and brain function (7 papers). Timo Dickscheid collaborates with scholars based in Germany, Canada and United Kingdom. Timo Dickscheid's co-authors include Katrin Amunts, Karl Zilles, Sebastian Bludau, Alan C. Evans, Lindsay B. Lewis, Claude Lepage, Hartmut Mohlberg, N. Jon Shah, Marc-Étienne Rousseau and Louis Borgeat and has published in prestigious journals such as Science, NeuroImage and Scientific Reports.

In The Last Decade

Timo Dickscheid

28 papers receiving 1.0k citations

Hit Papers

BigBrain: An Ultrahigh-Resolution 3D Human Brain Model 2013 2026 2017 2021 2013 100 200 300 400
What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

  1. BigBrain: An Ultrahigh-Resolution 3D Human Brain Model
    2013 498 citations Katrin Amunts, Claude Lepage et al. Science profile →

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Timo Dickscheid Germany 13 539 472 156 154 94 29 1.1k
Hanbo Chen China 25 1.1k 2.0× 783 1.7× 97 0.6× 108 0.7× 100 1.1× 81 1.8k
Lindsay B. Lewis Canada 11 674 1.3× 406 0.9× 56 0.4× 100 0.6× 98 1.0× 17 1.0k
Ana‐Maria Oros‐Peusquens Germany 19 507 0.9× 840 1.8× 58 0.4× 120 0.8× 97 1.0× 47 1.5k
Qiyuan Tian United States 24 369 0.7× 1.0k 2.1× 109 0.7× 94 0.6× 182 1.9× 74 1.5k
Louis Borgeat Canada 8 270 0.5× 254 0.5× 138 0.9× 84 0.5× 52 0.6× 20 668
John Bogovic United States 18 207 0.4× 535 1.1× 224 1.4× 154 1.0× 133 1.4× 42 1.3k
An T. Vu United States 18 1.5k 2.9× 774 1.6× 207 1.3× 75 0.5× 97 1.0× 34 2.2k
Jingxin Nie China 22 961 1.8× 796 1.7× 356 2.3× 164 1.1× 46 0.5× 61 1.7k
Rudolph Pienaar United States 16 683 1.3× 751 1.6× 90 0.6× 25 0.2× 47 0.5× 31 1.3k
David Metcalf United States 12 200 0.4× 352 0.7× 304 1.9× 56 0.4× 47 0.5× 14 829

Countries citing papers authored by Timo Dickscheid

Since Specialization
Citations

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

Fields of papers citing papers by Timo Dickscheid

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Timo Dickscheid

This figure shows the co-authorship network connecting the top 25 collaborators of Timo Dickscheid. A scholar is included among the top collaborators of Timo Dickscheid 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 Timo Dickscheid. Timo Dickscheid 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.
Eberhard, Daniel, Philipp Niklas Ostermann, Philip Kirschner, et al.. (2024). Semaphorin-3A regulates liver sinusoidal endothelial cell porosity and promotes hepatic steatosis. Nature Cardiovascular Research. 3(6). 734–753. 8 indexed citations
2.
DeKraker, Jordan, Nicola Palomero‐Gallagher, Sascha E.A. Muenzing, et al.. (2024). Analyzing Regional Organization of The Human Hippocampus in 3D-PLI Using Contrastive Learning and Geometric Unfolding. 1–5. 1 indexed citations
3.
Lebenberg, Jessica, Hartmut Mohlberg, Denis Rivière, et al.. (2024). A framework to improve the alignment of individual cytoarchitectonic maps of the Julich-Brain atlas using cortical folding landmarks. Cerebral Cortex. 34(2). 1 indexed citations
4.
Dickscheid, Timo, et al.. (2024). Effect of in-plane and out-of-plane bifurcated microfluidic channels on the flow of aggregating red blood cells. Lab on a Chip. 24(8). 2317–2326. 1 indexed citations
5.
6.
Muenzing, Sascha E.A., Meiqi Niu, Nicola Palomero‐Gallagher, et al.. (2024). Self-supervised representation learning for nerve fiber distribution patterns in 3D-PLI. Imaging Neuroscience. 2. 1 indexed citations
7.
Gillespie, Tom, Lyuba Zehl, Timo Dickscheid, et al.. (2023). AtOM, an ontology model to standardize use of brain atlases in tools, workflows, and data infrastructures. Scientific Data. 10(1). 486–486. 7 indexed citations
8.
Eickhoff, Simon B., Julia A. Camilleri, Timo Dickscheid, et al.. (2023). Cytoarchitectonic mapping of the human frontal operculum—New correlates for a variety of brain functions. Frontiers in Human Neuroscience. 17. 1087026–1087026. 7 indexed citations
9.
Palomero‐Gallagher, Nicola, et al.. (2022). Mapping Cytoarchitectonics and Receptor Architectonics to Understand Brain Function and Connectivity. Biological Psychiatry. 93(5). 471–479. 12 indexed citations
10.
Caspers, Svenja, Claudia Schöne, Hartmut Mohlberg, et al.. (2022). Cytoarchitecture, probability maps and segregation of the human insula. NeuroImage. 260. 119453–119453. 25 indexed citations
11.
Harmeling, Stefan, et al.. (2022). Contour proposal networks for biomedical instance segmentation. Medical Image Analysis. 77. 102371–102371. 40 indexed citations
12.
Paquola, Casey, Jessica Royer, Lindsay B. Lewis, et al.. (2021). The BigBrainWarp toolbox for integration of BigBrain 3D histology with multimodal neuroimaging. eLife. 10. 38 indexed citations
13.
Schiffer, Christian, Hannah Spitzer, Konrad Wagstyl, et al.. (2021). Convolutional neural networks for cytoarchitectonic brain mapping at large scale. NeuroImage. 240. 118327–118327. 9 indexed citations
14.
Albada, Sacha J. van, Timo Dickscheid, Alexandros Goulas, et al.. (2021). Bringing Anatomical Information into Neuronal Network Models. Advances in experimental medicine and biology. 1359. 201–234. 15 indexed citations
15.
Wagstyl, Konrad, Guillem Cucurull, Claude Lepage, et al.. (2020). BigBrain 3D atlas of cortical layers: Cortical and laminar thickness gradients diverge in sensory and motor cortices. PLoS Biology. 18(4). e3000678–e3000678. 109 indexed citations
16.
Schiffer, Christian, et al.. (2020). Deep learning networks reflect cytoarchitectonic features used in brain mapping. Scientific Reports. 10(1). 22039–22039. 3 indexed citations
17.
Lebenberg, Jessica, Guillaume Auzias, Hartmut Mohlberg, et al.. (2018). A framework based on sulcal constraints to align preterm, infant and adult human brain images acquired in vivo and post mortem. Brain Structure and Function. 223(9). 4153–4168. 17 indexed citations
18.
Amunts, Katrin, Claude Lepage, Louis Borgeat, et al.. (2013). BigBrain: An Ultrahigh-Resolution 3D Human Brain Model. Science. 340(6139). 1472–1475. 498 indexed citations breakdown →
19.
Axer, Markus, et al.. (2012). Classification of Ambiguous Nerve Fiber Orientations in 3D Polarized Light Imaging. Lecture notes in computer science. 15(Pt 1). 206–213. 7 indexed citations
20.
Axer, Markus, David Gräßel, Jürgen Dammers, et al.. (2011). High-Resolution Fiber Tract Reconstruction in the Human Brain by Means of Three-Dimensional Polarized Light Imaging. Frontiers in Neuroinformatics. 5. 34–34. 128 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.

Explore authors with similar magnitude of impact

Breakdown of academic impact, for papers by Hanbo Chen Breakdown of academic impact, for papers by Lindsay B. Lewis Breakdown of academic impact, for papers by Ana‐Maria Oros‐Peusquens Breakdown of academic impact, for papers by Qiyuan Tian Breakdown of academic impact, for papers by Louis Borgeat Breakdown of academic impact, for papers by John Bogovic Breakdown of academic impact, for papers by An T. Vu Breakdown of academic impact, for papers by Jingxin Nie Breakdown of academic impact, for papers by Rudolph Pienaar Breakdown of academic impact, for papers by David Metcalf
Rankless by CCL
2026