Benjamin Wagner

2.1k total citations
55 papers, 1.1k citations indexed

About

Benjamin Wagner is a scholar working on Radiology, Nuclear Medicine and Imaging, Computer Vision and Pattern Recognition and Biomedical Engineering. According to data from OpenAlex, Benjamin Wagner has authored 55 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 18 papers in Radiology, Nuclear Medicine and Imaging, 12 papers in Computer Vision and Pattern Recognition and 10 papers in Biomedical Engineering. Recurrent topics in Benjamin Wagner's work include Advanced Radiotherapy Techniques (7 papers), Dementia and Cognitive Impairment Research (7 papers) and Optical Imaging and Spectroscopy Techniques (7 papers). Benjamin Wagner is often cited by papers focused on Advanced Radiotherapy Techniques (7 papers), Dementia and Cognitive Impairment Research (7 papers) and Optical Imaging and Spectroscopy Techniques (7 papers). Benjamin Wagner collaborates with scholars based in United States, Germany and Spain. Benjamin Wagner's co-authors include Joseph A. Maldjian, Richard E. Petty, Pablo Briñol, Christopher T. Whitlow, Dirk Timmermann, Werner Henkel, Jeff D. Williamson, Ramon Casanova, Ananth J. Madhuranthakam and Mark A. Espeland and has published in prestigious journals such as Journal of Personality and Social Psychology, Diabetes Care and Radiology.

In The Last Decade

Benjamin Wagner

52 papers receiving 1.1k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Benjamin Wagner United States 18 305 188 155 142 139 55 1.1k
Yu‐Ting Kuo Taiwan 24 683 2.2× 236 1.3× 43 0.3× 174 1.2× 73 0.5× 110 2.1k
Dae‐Jin Kim United States 27 353 1.2× 78 0.4× 65 0.4× 702 4.9× 90 0.6× 87 1.7k
Visar Berisha United States 24 90 0.3× 116 0.6× 75 0.5× 329 2.3× 132 0.9× 155 2.1k
Yan Fu China 18 163 0.5× 77 0.4× 43 0.3× 96 0.7× 49 0.4× 110 1.1k
Yuchun Tang China 25 355 1.2× 39 0.2× 100 0.6× 398 2.8× 218 1.6× 75 1.6k
Francesca Gasparini Italy 21 139 0.5× 113 0.6× 128 0.8× 183 1.3× 511 3.7× 86 1.5k
Jacqueline Chen United States 18 658 2.2× 137 0.7× 271 1.7× 363 2.6× 169 1.2× 56 2.7k
Petri Savolainen Finland 17 240 0.8× 159 0.8× 532 3.4× 566 4.0× 45 0.3× 47 1.2k
John P. John India 26 188 0.6× 50 0.3× 56 0.4× 581 4.1× 33 0.2× 100 2.2k
Peter Chin United States 18 127 0.4× 43 0.2× 83 0.5× 133 0.9× 34 0.2× 67 1.7k

Countries citing papers authored by Benjamin Wagner

Since Specialization
Citations

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

Fields of papers citing papers by Benjamin Wagner

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Benjamin Wagner

This figure shows the co-authorship network connecting the top 25 collaborators of Benjamin Wagner. A scholar is included among the top collaborators of Benjamin Wagner 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 Benjamin Wagner. Benjamin Wagner 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.
Yogananda, Chandan Ganesh Bangalore, Benjamin Wagner, Yin Xi, et al.. (2025). Bridging the clinical gap: Confidence informed IDH prediction in brain gliomas using MRI and deep learning. Neuro-Oncology Advances. 7(1). vdaf142–vdaf142. 1 indexed citations
2.
Wagner, Benjamin, Kimmo J. Hatanpaa, Toral Patel, et al.. (2024). Two-Stage Training Framework Using Multicontrast MRI Radiomics for IDH Mutation Status Prediction in Glioma. Radiology Artificial Intelligence. 6(4). e230218–e230218. 6 indexed citations
3.
Yogananda, Chandan Ganesh Bangalore, Benjamin Wagner, Kimmo J. Hatanpaa, et al.. (2024). Synthesizing 3D multi-contrast brain tumor MRIs using tumor mask conditioning. PubMed. 12931. 22–22.
4.
Zhou, Limin, Durga Udayakumar, Yiming Wang, et al.. (2024). Repeatability and Reproducibility of Pseudocontinuous Arterial Spin-Labeling–Measured Brain Perfusion in Healthy Volunteers and Patients with Glioblastoma. American Journal of Neuroradiology. 46(5). 973–982.
5.
Yogananda, Chandan Ganesh Bangalore, Benjamin Wagner, Kimmo J. Hatanpaa, et al.. (2023). MRI-Based Deep Learning Method for Classification of IDH Mutation Status. Bioengineering. 10(9). 1045–1045. 14 indexed citations
6.
Davenport, Elizabeth M., Fang Yu, Benjamin Wagner, et al.. (2021). Alterations in the Magnetoencephalography Default Mode Effective Connectivity following Concussion. American Journal of Neuroradiology. 42(10). 1776–1782. 3 indexed citations
7.
Yogananda, Chandan Ganesh Bangalore, Bhavya Shah, Frank Yu, et al.. (2020). A novel fully automated MRI-based deep-learning method for classification of 1p/19q co-deletion status in brain gliomas. Neuro-Oncology Advances. 2(Supplement_4). iv42–iv48. 34 indexed citations
8.
Shah, Bhavya, Elizabeth M. Davenport, Christopher M. Läck, et al.. (2020). Prevalence and Incidence of Microhemorrhages in Adolescent Football Players. American Journal of Neuroradiology. 41(7). 1263–1268. 4 indexed citations
9.
Neal, Jennifer Watling, et al.. (2019). Discriminating Fake From True Brain Injury Using Latency of Left Frontal Neural Responses During Old/New Memory Recognition. Frontiers in Neuroscience. 13. 988–988. 4 indexed citations
10.
Hughes, Timothy M., Kaycee M. Sink, Jeff D. Williamson, et al.. (2018). Relationships between cerebral structure and cognitive function in African Americans with type 2 diabetes. Journal of Diabetes and its Complications. 32(10). 916–921. 11 indexed citations
11.
Hsu, Fang‐Chi, Kaycee M. Sink, Christina E. Hugenschmidt, et al.. (2018). Cerebral structure and cognitive performance in African Americans and European Americans with type 2 diabetes. The Journals of Gerontology Series A. 73(3). 407–414. 14 indexed citations
12.
Freedman, Barry I., Kaycee M. Sink, Christina E. Hugenschmidt, et al.. (2017). Associations of Early Kidney Disease With Brain Magnetic Resonance Imaging and Cognitive Function in African Americans With Type 2 Diabetes Mellitus. American Journal of Kidney Diseases. 70(5). 627–637. 28 indexed citations
13.
Wissel, Tobias, Benjamin Wagner, Ralf Bruder, et al.. (2016). Enhanced Optical Head Tracking for Cranial Radiation Therapy: Supporting Surface Registration by Cutaneous Structures. International Journal of Radiation Oncology*Biology*Physics. 95(2). 810–817. 6 indexed citations
14.
Raffield, Laura M., Gretchen A. Brenes, Amanda J. Cox, et al.. (2015). Associations between anxiety and depression symptoms and cognitive testing and neuroimaging in type 2 diabetes. Journal of Diabetes and its Complications. 30(1). 143–149. 21 indexed citations
15.
Schott, Björn H., et al.. (2015). Fronto-limbic novelty processing in acute psychosis: disrupted relationship with memory performance and potential implications for delusions. Frontiers in Behavioral Neuroscience. 9. 144–144. 19 indexed citations
16.
Wagner, Benjamin, et al.. (2014). Accuracy analysis for triangulation and tracking based on time‐multiplexed structured light. Medical Physics. 41(8Part1). 82701–82701. 19 indexed citations
17.
Wissel, Tobias, et al.. (2013). An improvement for the scanning process in high accuracy head tracking.. 179–182. 1 indexed citations
18.
Casanova, Ramon, Mark A. Espeland, Joseph S. Goveas, et al.. (2011). Application of machine learning methods to describe the effects of conjugated equine estrogens therapy on region-specific brain volumes. Magnetic Resonance Imaging. 29(4). 546–553. 17 indexed citations
19.
Casanova, Ramon, Christopher T. Whitlow, Benjamin Wagner, et al.. (2011). High Dimensional Classification of Structural MRI Alzheimer?s Disease Data Based on Large Scale Regularization. Frontiers in Neuroinformatics. 5. 22–22. 77 indexed citations
20.
Roe, David, et al.. (2004). The Emerging Self in Conceptualizing and Treating Mental Illness. Journal of Psychosocial Nursing and Mental Health Services. 42(2). 32–40. 17 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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