Adam Hilbert

1.0k total citations
31 papers, 604 citations indexed

About

Adam Hilbert is a scholar working on Epidemiology, Artificial Intelligence and Computer Vision and Pattern Recognition. According to data from OpenAlex, Adam Hilbert has authored 31 papers receiving a total of 604 indexed citations (citations by other indexed papers that have themselves been cited), including 19 papers in Epidemiology, 9 papers in Artificial Intelligence and 8 papers in Computer Vision and Pattern Recognition. Recurrent topics in Adam Hilbert's work include Acute Ischemic Stroke Management (16 papers), Cerebrovascular and Carotid Artery Diseases (6 papers) and Medical Imaging and Analysis (5 papers). Adam Hilbert is often cited by papers focused on Acute Ischemic Stroke Management (16 papers), Cerebrovascular and Carotid Artery Diseases (6 papers) and Medical Imaging and Analysis (5 papers). Adam Hilbert collaborates with scholars based in Germany, United Kingdom and Japan. Adam Hilbert's co-authors include Dietmar Frey, Vince I. Madai, Ahmed A. Khalil, Jochen B. Fiebach, Ivana Galinović, Orhun Utku Aydin, Abdel Aziz Taha, Michelle Livne, Henk A. Marquering and Lucas A. Ramos and has published in prestigious journals such as SHILAP Revista de lepidopterología, NeuroImage and Stroke.

In The Last Decade

Adam Hilbert

30 papers receiving 599 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Adam Hilbert Germany 12 265 178 161 133 107 31 604
Michelle Livne Germany 10 166 0.6× 161 0.9× 205 1.3× 177 1.3× 161 1.5× 17 702
David Robben Belgium 10 148 0.6× 132 0.7× 191 1.2× 79 0.6× 36 0.3× 18 404
Yannan Yu United States 13 441 1.7× 252 1.4× 108 0.7× 26 0.2× 33 0.3× 42 599
Vidur Mahajan India 7 160 0.6× 80 0.4× 334 2.1× 58 0.4× 191 1.8× 18 799
Swetha Tanamala United States 5 159 0.6× 74 0.4× 283 1.8× 53 0.4× 185 1.7× 8 662
Sasank Chilamkurthy United States 4 161 0.6× 69 0.4× 268 1.7× 55 0.4× 184 1.7× 6 663
Jonathan Gryak United States 15 104 0.4× 80 0.4× 189 1.2× 55 0.4× 113 1.1× 56 684
Shahmir Kamalian United States 16 774 2.9× 473 2.7× 397 2.5× 37 0.3× 118 1.1× 27 1.2k
Lucas A. Ramos Netherlands 14 271 1.0× 160 0.9× 80 0.5× 9 0.1× 68 0.6× 19 547
Carole Frindel France 14 99 0.4× 45 0.3× 200 1.2× 37 0.3× 30 0.3× 49 472

Countries citing papers authored by Adam Hilbert

Since Specialization
Citations

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

Fields of papers citing papers by Adam Hilbert

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Adam Hilbert

This figure shows the co-authorship network connecting the top 25 collaborators of Adam Hilbert. A scholar is included among the top collaborators of Adam Hilbert 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 Adam Hilbert. Adam Hilbert 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.
Koch, Alexander, Orhun Utku Aydin, Adam Hilbert, et al.. (2025). Cross-modality image synthesis from TOF-MRA to CTA using diffusion-based models. Medical Image Analysis. 105. 103722–103722. 1 indexed citations
2.
Rockenschaub, Patrick, Ela M. Akay, Benjamin Gregory Carlisle, et al.. (2025). External validation of AI-based scoring systems in the ICU: a systematic review and meta-analysis. BMC Medical Informatics and Decision Making. 25(1). 5–5. 11 indexed citations
3.
Aydin, Orhun Utku, et al.. (2024). Generative modeling of the Circle of Willis using 3D-StyleGAN. NeuroImage. 304. 120936–120936. 2 indexed citations
4.
Frey, Dietmar, Adam Hilbert, David Wasilewski, et al.. (2024). Preoperatively-determined Red Distribution Width (RDW) predicts prolonged length of stay after single-level spinal fusion in elderly patients. SHILAP Revista de lepidopterología. 4. 102827–102827. 3 indexed citations
5.
Madai, Vince I., Tabea Kossen, Orhun Utku Aydin, et al.. (2024). Perfusion parameter map generation from TOF-MRA in stroke using generative adversarial networks. NeuroImage. 298. 120770–120770. 2 indexed citations
6.
Aydin, Orhun Utku, Adam Hilbert, Yotaro Kitano, et al.. (2024). Reliability of ABC/2 volumetric estimation in spontaneous intracerebral hemorrhage for hematoma expansion prediction scores. European Stroke Journal. 10(2). 592–599. 2 indexed citations
7.
Aydin, Orhun Utku, Adam Hilbert, Ahmed A. Khalil, et al.. (2024). Deep learning-based multiclass segmentation in aneurysmal subarachnoid hemorrhage. Frontiers in Neurology. 15. 1490216–1490216. 3 indexed citations
8.
Kossen, Tabea, Vince I. Madai, Anja Hennemuth, et al.. (2023). Image-to-image generative adversarial networks for synthesizing perfusion parameter maps from DSC-MR images in cerebrovascular disease. Frontiers in Neurology. 13. 1051397–1051397. 4 indexed citations
9.
Akay, Ela M., et al.. (2023). Artificial Intelligence for Clinical Decision Support in Acute Ischemic Stroke: A Systematic Review. Stroke. 54(6). 1505–1516. 16 indexed citations
10.
Akay, Ela M., Jana Rieger, Ahmed A. Khalil, et al.. (2023). A deep learning analysis of stroke onset time prediction and comparison to DWI-FLAIR mismatch. NeuroImage Clinical. 40. 103544–103544. 6 indexed citations
11.
Frey, Dietmar, Adam Hilbert, Vince I. Madai, et al.. (2023). Enhancing the prediction for shunt-dependent hydrocephalus after aneurysmal subarachnoid hemorrhage using a machine learning approach. Neurosurgical Review. 46(1). 206–206. 8 indexed citations
12.
Madai, Vince I., Orhun Utku Aydin, Ela M. Akay, et al.. (2023). Personalised simulation of hemodynamics in cerebrovascular disease: lessons learned from a study of diagnostic accuracy. Frontiers in Neurology. 14. 1230402–1230402. 1 indexed citations
13.
Kossen, Tabea, Kerstin Ritter, Anja Hennemuth, et al.. (2022). Generating 3D TOF-MRA volumes and segmentation labels using generative adversarial networks. Medical Image Analysis. 78. 102396–102396. 29 indexed citations
14.
Hilbert, Adam, Jana Rieger, Vince I. Madai, et al.. (2022). Anatomical labeling of intracranial arteries with deep learning in patients with cerebrovascular disease. Frontiers in Neurology. 13. 1000914–1000914. 2 indexed citations
15.
Madai, Vince I., Adam Hilbert, Arne Potreck, et al.. (2022). Comparing Poor and Favorable Outcome Prediction With Machine Learning After Mechanical Thrombectomy in Acute Ischemic Stroke. Frontiers in Neurology. 13. 737667–737667. 12 indexed citations
16.
Dengler, Nora F., Vince I. Madai, Adam Hilbert, et al.. (2021). Outcome prediction in aneurysmal subarachnoid hemorrhage: a comparison of machine learning methods and established clinico-radiological scores. Neurosurgical Review. 44(5). 2837–2846. 38 indexed citations
17.
Kossen, Tabea, Vince I. Madai, Anja Hennemuth, et al.. (2021). Synthesizing anonymized and labeled TOF-MRA patches for brain vessel segmentation using generative adversarial networks. Computers in Biology and Medicine. 131. 104254–104254. 44 indexed citations
18.
Aydin, Orhun Utku, Abdel Aziz Taha, Adam Hilbert, et al.. (2021). On the usage of average Hausdorff distance for segmentation performance assessment: hidden error when used for ranking. European Radiology Experimental. 5(1). 4–4. 89 indexed citations
19.
Aydin, Orhun Utku, Abdel Aziz Taha, Adam Hilbert, et al.. (2021). An evaluation of performance measures for arterial brain vessel segmentation. BMC Medical Imaging. 21(1). 113–113. 10 indexed citations
20.
Os, Hendrikus J. A. van, Lucas A. Ramos, Adam Hilbert, et al.. (2018). Predicting Outcome of Endovascular Treatment for Acute Ischemic Stroke: Potential Value of Machine Learning Algorithms. Frontiers in Neurology. 9. 784–784. 112 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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