Robert Haase

820 total citations
23 papers, 415 citations indexed

About

Robert Haase is a scholar working on Radiology, Nuclear Medicine and Imaging, Materials Chemistry and Cellular and Molecular Neuroscience. According to data from OpenAlex, Robert Haase has authored 23 papers receiving a total of 415 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Radiology, Nuclear Medicine and Imaging, 7 papers in Materials Chemistry and 6 papers in Cellular and Molecular Neuroscience. Recurrent topics in Robert Haase's work include Advanced MRI Techniques and Applications (8 papers), Lanthanide and Transition Metal Complexes (7 papers) and MRI in cancer diagnosis (5 papers). Robert Haase is often cited by papers focused on Advanced MRI Techniques and Applications (8 papers), Lanthanide and Transition Metal Complexes (7 papers) and MRI in cancer diagnosis (5 papers). Robert Haase collaborates with scholars based in Germany, United States and Netherlands. Robert Haase's co-authors include Alexander Radbruch, Daniel Paech, Sebastian Bickelhaupt, Heinz-Peter Schlemmer, Martin Bendszus, Wolfgang Wick, Philipp Kickingereder, Katerina Deike‐Hofmann, Pascal J. Kieslich and Claus Peter Heußel and has published in prestigious journals such as Scientific Reports, Radiology and American Journal of Neuroradiology.

In The Last Decade

Robert Haase

22 papers receiving 409 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Robert Haase Germany 10 233 182 104 96 49 23 415
Rongwen Tain United States 10 162 0.7× 106 0.6× 103 1.0× 99 1.0× 21 0.4× 19 347
Milad Yazdani United States 9 118 0.5× 77 0.4× 52 0.5× 49 0.5× 14 0.3× 27 288
André Ahlgren Sweden 12 276 1.2× 32 0.2× 95 0.9× 70 0.7× 18 0.4× 24 440
Manuel Taso United States 14 401 1.7× 22 0.1× 43 0.4× 77 0.8× 98 2.0× 33 593
Elaine Lui Australia 11 201 0.9× 15 0.1× 173 1.7× 76 0.8× 28 0.6× 38 527
Harumasa Kasai Japan 13 266 1.1× 17 0.1× 142 1.4× 188 2.0× 18 0.4× 44 465
Hans Friberg Denmark 11 141 0.6× 20 0.1× 70 0.7× 84 0.9× 45 0.9× 26 658
Matthias Guenther Germany 9 356 1.5× 49 0.3× 18 0.2× 38 0.4× 25 0.5× 12 456
Matthew J. Cronin United States 15 315 1.4× 13 0.1× 45 0.4× 102 1.1× 24 0.5× 29 672
Wendy W. Ni United States 10 341 1.5× 43 0.2× 47 0.5× 50 0.5× 37 0.8× 11 454

Countries citing papers authored by Robert Haase

Since Specialization
Citations

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

Fields of papers citing papers by Robert Haase

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Robert Haase

This figure shows the co-authorship network connecting the top 25 collaborators of Robert Haase. A scholar is included among the top collaborators of Robert Haase 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 Robert Haase. Robert Haase 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.
Keil, Vera C., Nils Lehnen, Robert Haase, et al.. (2025). Chat GPT-4 shows high agreement in MRI protocol selection compared to board-certified neuroradiologists. European Journal of Radiology. 193. 112416–112416.
2.
Haase, Robert, Nils Lehnen, Frederic Carsten Schmeel, et al.. (2024). External evaluation of a deep learning-based approach for automated brain volumetry in patients with huntington’s disease. Scientific Reports. 14(1). 9243–9243. 4 indexed citations
3.
Haase, Robert, Erich Kobler, Daniel Paech, et al.. (2024). Metastasis Detection Using True and Artificial T1-Weighted Postcontrast Images in Brain MRI. Investigative Radiology. 60(5). 340–348. 2 indexed citations
4.
Brugnara, Gianluca, Chandrakanth Jayachandran Preetha, Katerina Deike‐Hofmann, et al.. (2024). Addressing the Generalizability of AI in Radiology Using a Novel Data Augmentation Framework with Synthetic Patient Image Data: Proof-of-Concept and External Validation for Classification Tasks in Multiple Sclerosis. Radiology Artificial Intelligence. 6(6). e230514–e230514. 3 indexed citations
5.
Kurth, Thomas, et al.. (2024). Automated quantification of photoreceptor outer segments in developing and degenerating retinas on microscopy images across scales. Frontiers in Molecular Neuroscience. 17. 1398447–1398447. 1 indexed citations
6.
7.
Haase, Robert, et al.. (2024). Artificial T1-Weighted Postcontrast Brain MRI. Investigative Radiology. 60(2). 105–113. 5 indexed citations
8.
9.
Widmann, Catherine, Julian Philipp Layer, Robert Haase, et al.. (2023). Brain Volume Changes after COVID-19 Compared to Healthy Controls by Artificial Intelligence-Based MRI Volumetry. Diagnostics. 13(10). 1716–1716. 14 indexed citations
10.
Haase, Robert, Erich Kobler, Daniel Paech, et al.. (2023). Reduction of Gadolinium-Based Contrast Agents in MRI Using Convolutional Neural Networks and Different Input Protocols. Investigative Radiology. 58(6). 420–430. 13 indexed citations
11.
Haase, Robert, et al.. (2023). Artificial Contrast. Investigative Radiology. 58(8). 539–547. 9 indexed citations
12.
Lehnen, Nils, Robert Haase, Frederic Carsten Schmeel, et al.. (2022). Automated Detection of Cerebral Aneurysms on TOF-MRA Using a Deep Learning Approach: An External Validation Study. American Journal of Neuroradiology. 43(12). 1700–1705. 15 indexed citations
13.
Schmeel, Frederic Carsten, Nils Lehnen, Robert Haase, et al.. (2021). Proton Density Fat Fraction Spine MRI for Differentiation of Erosive Vertebral Endplate Degeneration and Infectious Spondylitis. Diagnostics. 12(1). 78–78. 5 indexed citations
14.
Lehnen, Nils, Robert Haase, Jennifer Faber, et al.. (2021). Detection of Degenerative Changes on MR Images of the Lumbar Spine with a Convolutional Neural Network: A Feasibility Study. Diagnostics. 11(5). 902–902. 34 indexed citations
15.
16.
Haase, Robert, et al.. (2019). Patient Satisfaction and Clinical Complications after Endoscopic or Surgical Saphenous Vein Harvesting. The Thoracic and Cardiovascular Surgeon. 68(8). 700–705. 2 indexed citations
17.
Deike‐Hofmann, Katerina, Julia Reuter, Robert Haase, et al.. (2018). Glymphatic Pathway of Gadolinium-Based Contrast Agents Through the Brain. Investigative Radiology. 54(4). 229–237. 97 indexed citations
18.
Radbruch, Alexander, Robert Haase, Philipp Kickingereder, et al.. (2017). Pediatric Brain: No Increased Signal Intensity in the Dentate Nucleus on Unenhanced T1-weighted MR Images after Consecutive Exposure to a Macrocyclic Gadolinium-based Contrast Agent. Radiology. 283(3). 828–836. 69 indexed citations
19.
Haase, Robert, Pascal J. Kieslich, Lukas D. Weberling, et al.. (2017). No Signal Intensity Increase in the Dentate Nucleus on Unenhanced T1-weighted MR Images after more than 20 Serial Injections of Macrocyclic Gadolinium-Based Contrast Agents. RöFo - Fortschritte auf dem Gebiet der Röntgenstrahlen und der bildgebenden Verfahren. 189(S 01). S1–S124. 1 indexed citations
20.
Haase, Robert, et al.. (2013). A neurosurgical phantom-based training system with ultrasound simulation. Acta Neurochirurgica. 156(6). 1237–1243. 8 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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