Julian Caspers

2.1k total citations
58 papers, 1.3k citations indexed

About

Julian Caspers is a scholar working on Cognitive Neuroscience, Neurology and Radiology, Nuclear Medicine and Imaging. According to data from OpenAlex, Julian Caspers has authored 58 papers receiving a total of 1.3k indexed citations (citations by other indexed papers that have themselves been cited), including 24 papers in Cognitive Neuroscience, 23 papers in Neurology and 20 papers in Radiology, Nuclear Medicine and Imaging. Recurrent topics in Julian Caspers's work include Functional Brain Connectivity Studies (19 papers), Acute Ischemic Stroke Management (14 papers) and Advanced Neuroimaging Techniques and Applications (12 papers). Julian Caspers is often cited by papers focused on Functional Brain Connectivity Studies (19 papers), Acute Ischemic Stroke Management (14 papers) and Advanced Neuroimaging Techniques and Applications (12 papers). Julian Caspers collaborates with scholars based in Germany, United States and Netherlands. Julian Caspers's co-authors include Katrin Amunts, Karl Zilles, Simon B. Eickhoff, Hartmut Mohlberg, Bernd Turowski, Kalanit Grill‐Spector, Kevin S. Weiner, Axel Schleicher, Christian Rubbert and Felix Hoffstaedter and has published in prestigious journals such as SHILAP Revista de lepidopterología, PLoS ONE and NeuroImage.

In The Last Decade

Julian Caspers

49 papers receiving 1.3k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Julian Caspers Germany 19 752 373 284 108 93 58 1.3k
Jérémy Deverdun France 18 539 0.7× 524 1.4× 170 0.6× 182 1.7× 84 0.9× 53 1.2k
Chaoyong Xiao China 22 662 0.9× 402 1.1× 199 0.7× 62 0.6× 119 1.3× 61 1.1k
Stephan Ulmer Germany 17 539 0.7× 259 0.7× 180 0.6× 249 2.3× 72 0.8× 36 1.1k
Panpan Hu China 21 720 1.0× 430 1.2× 233 0.8× 63 0.6× 144 1.5× 85 1.3k
Shigeki Aoki Japan 13 396 0.5× 350 0.9× 140 0.5× 136 1.3× 56 0.6× 27 954
Jean‐Christophe Houde Canada 18 572 0.8× 747 2.0× 130 0.5× 76 0.7× 63 0.7× 31 1.2k
S. Lehéricy France 13 556 0.7× 304 0.8× 377 1.3× 55 0.5× 97 1.0× 14 1.0k
Nicholas B. Dadario United States 15 529 0.7× 329 0.9× 88 0.3× 94 0.9× 73 0.8× 61 930
Riccardo Budai Italy 16 362 0.5× 213 0.6× 202 0.7× 268 2.5× 69 0.7× 41 980
Erin L. Mazerolle Canada 21 754 1.0× 793 2.1× 123 0.4× 75 0.7× 44 0.5× 51 1.3k

Countries citing papers authored by Julian Caspers

Since Specialization
Citations

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

Fields of papers citing papers by Julian Caspers

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Julian Caspers

This figure shows the co-authorship network connecting the top 25 collaborators of Julian Caspers. A scholar is included among the top collaborators of Julian Caspers 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 Julian Caspers. Julian Caspers 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.
Rubbert, Christian, et al.. (2025). Isochrone-based Identification of Gaps in Neurovascular Care in Germany. Clinical Neuroradiology. 35(4). 747–753.
2.
Beez, Thomas, et al.. (2025). Deep-Learning-based Automated Identification of Ventriculoperitoneal-Shunt Valve Models from Skull X-rays. Clinical Neuroradiology. 35(2). 347–354.
3.
Eickhoff, Simon B., et al.. (2024). Simulated brain networks reflecting progression of Parkinson’s disease. Network Neuroscience. 8(4). 1400–1420.
5.
Rubbert, Christian, Marius Kaschner, Nadja Kairies‐Schwarz, et al.. (2024). Prehospital telemedicine support for urban stroke care: Analysis of current state of care and conceptualization. BMC Emergency Medicine. 24(1). 224–224.
6.
Heinrichs, Bert, Tade Matthias Spranger, Dirk Lanzerath, et al.. (2023). Künstliche Intelligenz in der Medizin. Medizinrecht. 41(4). 259–264.
7.
Antonopoulos, Georgios, et al.. (2023). Brain-age prediction: A systematic comparison of machine learning workflows. NeuroImage. 270. 119947–119947. 52 indexed citations
8.
Dellani, Paulo R., et al.. (2023). Prediction of cognitive performance differences in older age from multimodal neuroimaging data. GeroScience. 46(1). 283–308. 8 indexed citations
9.
Florin, Esther, Kaustubh R. Patil, Julian Caspers, et al.. (2022). Whole-brain dynamical modelling for classification of Parkinson’s disease. Brain Communications. 5(1). fcac331–fcac331. 7 indexed citations
10.
Hedderich, Dennis M., Benita Schmitz‐Koep, Madeleine Schuberth, et al.. (2022). Impact of normative brain volume reports on the diagnosis of neurodegenerative dementia disorders in neuroradiology: A real-world, clinical practice study. Frontiers in Aging Neuroscience. 14. 971863–971863. 2 indexed citations
11.
Lee, John‐Ih, Bernd Turowski, Marius Kaschner, et al.. (2021). Consequences of COVID-19 pandemic lockdown on emergency and stroke care in a German tertiary stroke center. SHILAP Revista de lepidopterología. 3(1). 6 indexed citations
12.
Caspers, Julian, Christian Rubbert, Simon B. Eickhoff, et al.. (2021). Within- and across-network alterations of the sensorimotor network in Parkinson’s disease. Neuroradiology. 63(12). 2073–2085. 61 indexed citations
13.
Rubbert, Christian, Julian Caspers, John‐Ih Lee, et al.. (2020). Mechanical thrombectomy in acute middle cerebral artery M2 segment occlusion with regard to vessel involvement. Neurological Sciences. 41(11). 3165–3173. 7 indexed citations
14.
Rubbert, Christian, Lino M. Sawicki, Christoph Thomas, et al.. (2019). Potential of a machine-learning model for dose optimization in CT quality assurance. European Radiology. 29(7). 3705–3713. 16 indexed citations
15.
Caspers, Julian, Christian Mathys, Felix Hoffstaedter, et al.. (2017). Differential Functional Connectivity Alterations of Two Subdivisions within the Right dlPFC in Parkinson's Disease. Frontiers in Human Neuroscience. 11. 288–288. 15 indexed citations
16.
Caspers, Svenja, Markus Axer, Julian Caspers, et al.. (2015). Target sites for transcallosal fibers in human visual cortex – A combined diffusion and polarized light imaging study. Cortex. 72. 40–53. 25 indexed citations
17.
Weiner, Kevin S., Julian Caspers, Hartmut Mohlberg, et al.. (2015). Two New Cytoarchitectonic Areas on the Human Mid-Fusiform Gyrus. Cerebral Cortex. 27(1). bhv225–bhv225. 94 indexed citations
18.
Mathys, Christian, Felix Hoffstaedter, Julian Caspers, et al.. (2014). An age-related shift of resting-state functional connectivity of the subthalamic nucleus: a potential mechanism for compensating motor performance decline in older adults. Frontiers in Aging Neuroscience. 6. 178–178. 22 indexed citations
19.
Mathys, Christian, Julian Caspers, Joel Aissa, et al.. (2013). Long-term impact of perfusion CT data after subarachnoid hemorrhage. Neuroradiology. 55(11). 1323–1331. 14 indexed citations
20.
Weiner, Kevin S., Golijeh Golarai, Julian Caspers, et al.. (2013). The mid-fusiform sulcus: A landmark identifying both cytoarchitectonic and functional divisions of human ventral temporal cortex. NeuroImage. 84. 453–465. 169 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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