Amelie Rauland

755 total citations · 1 hit paper
3 papers, 231 citations indexed

About

Amelie Rauland is a scholar working on Radiology, Nuclear Medicine and Imaging, Clinical Psychology and Cognitive Neuroscience. According to data from OpenAlex, Amelie Rauland has authored 3 papers receiving a total of 231 indexed citations (citations by other indexed papers that have themselves been cited), including 2 papers in Radiology, Nuclear Medicine and Imaging, 1 paper in Clinical Psychology and 1 paper in Cognitive Neuroscience. Recurrent topics in Amelie Rauland's work include Functional Brain Connectivity Studies (1 paper), Personality Traits and Psychology (1 paper) and Radiomics and Machine Learning in Medical Imaging (1 paper). Amelie Rauland is often cited by papers focused on Functional Brain Connectivity Studies (1 paper), Personality Traits and Psychology (1 paper) and Radiomics and Machine Learning in Medical Imaging (1 paper). Amelie Rauland collaborates with scholars based in Germany, United States and Iran. Amelie Rauland's co-authors include Ehsan Adeli, Atlas Haddadi Avval, Reza Azad, Sanaz Karimijafarbigloo, Dorit Merhof, Afshin Bozorgpour, Ehsan Khodapanah Aghdam, Joseph Cohen, Matthew Cieslak and Kathrin Reetz and has published in prestigious journals such as IEEE Transactions on Pattern Analysis and Machine Intelligence, Fraunhofer-Publica (Fraunhofer-Gesellschaft) and Imaging Neuroscience.

In The Last Decade

Amelie Rauland

1 paper receiving 219 citations

Hit Papers

align trajectories

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.

Medical Image Segmentation Review: The Success of U-Net

2024 231 citations Reza Azad, Ehsan Khodapanah Aghdam et al. IEEE Transactions on Pattern Analysis and Machine Intelligence profile →

Peers

Countries citing papers authored by Amelie Rauland

Since Specialization

Citations

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

Fields of papers citing papers by Amelie Rauland

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Amelie Rauland

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

All Works

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3 of 3 papers shown

#	Work	Indexed citations
1	Weak and unstable prediction of personality from the structural connectome 2024 ·Imaging Neuroscience ·Amelie Rauland, (unknown), (unknown), Matthew Cieslak, Kathrin Reetz, Simon B. Eickhoff, Oleksandr V. Popovych	0
2	Medical Image Segmentation Review: The Success of U-Net breakdown → 2024 ·IEEE Transactions on Pattern Analysis and Machine Intelligence ·Reza Azad, Ehsan Khodapanah Aghdam, Amelie Rauland, (unknown), Atlas Haddadi Avval, Afshin Bozorgpour, Sanaz Karimijafarbigloo, Joseph Cohen, Ehsan Adeli, Dorit Merhof	231
3	Using Synthetic Training Data in Neural Networks for the Estimation of Fiber Orientation Distribution Functions from Single Shell Data 2023 ·Fraunhofer-Publica (Fraunhofer-Gesellschaft) ·Amelie Rauland, Dorit Merhof	0

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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