Esther Alberts

477 total citations
8 papers, 297 citations indexed

About

Esther Alberts is a scholar working on Genetics, Radiology, Nuclear Medicine and Imaging and Computer Vision and Pattern Recognition. According to data from OpenAlex, Esther Alberts has authored 8 papers receiving a total of 297 indexed citations (citations by other indexed papers that have themselves been cited), including 3 papers in Genetics, 3 papers in Radiology, Nuclear Medicine and Imaging and 2 papers in Computer Vision and Pattern Recognition. Recurrent topics in Esther Alberts's work include Radiomics and Machine Learning in Medical Imaging (3 papers), Glioma Diagnosis and Treatment (3 papers) and Medical Image Segmentation Techniques (2 papers). Esther Alberts is often cited by papers focused on Radiomics and Machine Learning in Medical Imaging (3 papers), Glioma Diagnosis and Treatment (3 papers) and Medical Image Segmentation Techniques (2 papers). Esther Alberts collaborates with scholars based in Germany, Switzerland and Denmark. Esther Alberts's co-authors include Benedikt Wiestler, Claus Zimmer, Bjoern Menze, Koen Van Leemput, Paul Eichinger, Thomas S. Huber, Jens Gempt, Stefanie Bette, Jana Lipková and Panagiotis Hadjidoukas and has published in prestigious journals such as Scientific Reports, IEEE Transactions on Medical Imaging and NeuroImage Clinical.

In The Last Decade

Esther Alberts

8 papers receiving 292 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Esther Alberts Germany 6 161 104 71 67 43 8 297
Florian Kofler Germany 9 137 0.9× 66 0.6× 35 0.5× 34 0.5× 17 0.4× 18 250
Zijian Zhou United States 8 124 0.8× 34 0.3× 61 0.9× 25 0.4× 13 0.3× 16 286
Paul Eichinger Germany 9 201 1.2× 97 0.9× 30 0.4× 32 0.5× 4 0.1× 12 314
Béatrice Carsin France 8 142 0.9× 59 0.6× 41 0.6× 70 1.0× 2 0.0× 9 305
Ezequiel Geremia France 4 80 0.5× 9 0.1× 126 1.8× 197 2.9× 17 0.4× 6 303
Domenique M. J. Müller Netherlands 6 105 0.7× 75 0.7× 39 0.5× 30 0.4× 2 0.0× 10 217
Turid Torheim United Kingdom 11 284 1.8× 74 0.7× 44 0.6× 60 0.9× 4 0.1× 16 449
Roelant S. Eijgelaar Netherlands 7 190 1.2× 131 1.3× 71 1.0× 37 0.6× 2 0.0× 13 286
Urspeter Knecht Switzerland 10 237 1.5× 142 1.4× 102 1.4× 68 1.0× 3 0.1× 20 332
Xiangwei Ge China 8 120 0.7× 47 0.5× 140 2.0× 100 1.5× 3 0.1× 23 403

Countries citing papers authored by Esther Alberts

Since Specialization
Citations

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

Fields of papers citing papers by Esther Alberts

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Esther Alberts

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

All Works

8 of 8 papers shown
1.
Lipková, Jana, Panagiotis Angelikopoulos, Stephen Wu, et al.. (2019). Personalized Radiotherapy Design for Glioblastoma: Integrating Mathematical Tumor Models, Multimodal Scans, and Bayesian Inference. IEEE Transactions on Medical Imaging. 38(8). 1875–1884. 99 indexed citations
2.
Lipková, Jana, Panagiotis Angelikopoulos, Stephen Wu, et al.. (2018). Personalized Radiotherapy Planning for Glioma Using Multimodal Bayesian Model Calibration.. arXiv (Cornell University). 1 indexed citations
3.
Zhang, Haike, Esther Alberts, Viola Pongratz, et al.. (2018). Predicting conversion from clinically isolated syndrome to multiple sclerosis–An imaging-based machine learning approach. NeuroImage Clinical. 21. 101593–101593. 44 indexed citations
4.
Eichinger, Paul, Esther Alberts, Claire Delbridge, et al.. (2017). Diffusion tensor image features predict IDH genotype in newly diagnosed WHO grade II/III gliomas. Scientific Reports. 7(1). 13396–13396. 58 indexed citations
5.
Huber, Thomas S., et al.. (2016). Automated segmentation reveals silent radiographic progression in adult-onset vanishing white-matter disease. The Neuroradiology Journal. 30(1). 5–9. 1 indexed citations
6.
Alberts, Esther, Markus Rempfler, Thomas S. Huber, et al.. (2016). Uncertainty quantification in brain tumor segmentation using CRFs and random perturbation models. 6362. 428–431. 5 indexed citations
7.
Menze, Bjoern, Koen Van Leemput, Danial Lashkari, et al.. (2015). A Generative Probabilistic Model and Discriminative Extensions for Brain Lesion Segmentation— With Application to Tumor and Stroke. IEEE Transactions on Medical Imaging. 35(4). 933–946. 51 indexed citations
8.
Huber, Thomas S., Stefanie Bette, Tobias Boeckh‐Behrens, et al.. (2015). Reliability of Semi-Automated Segmentations in Glioblastoma. Clinical Neuroradiology. 27(2). 153–161. 38 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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2026