Adrian Ion‐Mărgineanu

499 total citations
16 papers, 314 citations indexed

About

Adrian Ion‐Mărgineanu is a scholar working on Biophysics, Radiology, Nuclear Medicine and Imaging and Cognitive Neuroscience. According to data from OpenAlex, Adrian Ion‐Mărgineanu has authored 16 papers receiving a total of 314 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Biophysics, 6 papers in Radiology, Nuclear Medicine and Imaging and 3 papers in Cognitive Neuroscience. Recurrent topics in Adrian Ion‐Mărgineanu's work include Spectroscopy Techniques in Biomedical and Chemical Research (7 papers), Radiomics and Machine Learning in Medical Imaging (4 papers) and Functional Brain Connectivity Studies (3 papers). Adrian Ion‐Mărgineanu is often cited by papers focused on Spectroscopy Techniques in Biomedical and Chemical Research (7 papers), Radiomics and Machine Learning in Medical Imaging (4 papers) and Functional Brain Connectivity Studies (3 papers). Adrian Ion‐Mărgineanu collaborates with scholars based in United States, Belgium and Canada. Adrian Ion‐Mărgineanu's co-authors include Hammad Qureshi, Peter Hamilton, Jim Diamond, Ahmed Serag, Paul G. O’Reilly, Diana M. Sima, Sabine Van Huffel, Gabriel Kocevar, Claudio Stamile and Françoise Durand‐Dubief and has published in prestigious journals such as Clinical Cancer Research, The Journal of Urology and Human Brain Mapping.

In The Last Decade

Adrian Ion‐Mărgineanu

14 papers receiving 311 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Adrian Ion‐Mărgineanu United States 7 131 107 56 47 40 16 314
Mircea-Sebastian Şerbănescu Romania 10 118 0.9× 134 1.3× 32 0.6× 41 0.9× 15 0.4× 90 422
Nick Weiss Germany 10 151 1.2× 176 1.6× 53 0.9× 18 0.4× 20 0.5× 16 353
Marko van Treeck Germany 11 178 1.4× 209 2.0× 28 0.5× 19 0.4× 17 0.4× 21 345
Michel E. Vandenberghe United Kingdom 9 169 1.3× 135 1.3× 70 1.3× 30 0.6× 14 0.3× 19 393
Jim Diamond United Kingdom 7 103 0.8× 162 1.5× 38 0.7× 25 0.5× 9 0.2× 9 292
Brandon Ginley United States 8 86 0.7× 195 1.8× 31 0.6× 18 0.4× 17 0.4× 27 354
Brendon Lutnick United States 7 78 0.6× 159 1.5× 30 0.5× 18 0.4× 12 0.3× 18 306
Adrian Levine Canada 7 105 0.8× 102 1.0× 15 0.3× 22 0.5× 10 0.3× 25 287
Timothy Whitehead United States 10 135 1.0× 58 0.5× 69 1.2× 58 1.2× 6 0.1× 17 308
González-López Lucía Spain 8 57 0.4× 131 1.2× 33 0.6× 35 0.7× 18 0.5× 18 302

Countries citing papers authored by Adrian Ion‐Mărgineanu

Since Specialization
Citations

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

Fields of papers citing papers by Adrian Ion‐Mărgineanu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Adrian Ion‐Mărgineanu. 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 Adrian Ion‐Mărgineanu. The network helps show where Adrian Ion‐Mărgineanu may publish in the future.

Co-authorship network of co-authors of Adrian Ion‐Mărgineanu

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

All Works

16 of 16 papers shown
1.
2.
Deng, Feng, Adrian Ion‐Mărgineanu, Christian W. Freudiger, et al.. (2025). Stimulated Raman Histology and Artificial Intelligence Provide Near Real-Time Interpretation of Radical Prostatectomy Surgical Margins. The Journal of Urology. 213(5). 609–616. 3 indexed citations
3.
Rueß, Daniel, Niklas von Spreckelsen, Adrian Ion‐Mărgineanu, et al.. (2024). Streamlined Intraoperative Brain Tumor Classification and Molecular Subtyping in Stereotactic Biopsies Using Stimulated Raman Histology and Deep Learning. Clinical Cancer Research. 30(17). 3824–3836. 2 indexed citations
4.
Deng, Fang‐Ming, Adrian Ion‐Mărgineanu, Christian W. Freudiger, et al.. (2024). Intraoperative margin assessment with near real time pathology during partial gland ablation of prostate cancer: A feasibility study. Urologic Oncology Seminars and Original Investigations. 43(1). 64.e19–64.e25. 1 indexed citations
5.
Weerasekera, Akila, Adrian Ion‐Mărgineanu, Garry P. Nolan, & Maria Mody. (2024). Subcortical-cortical white matter connectivity in adults with autism spectrum disorder and schizophrenia patients. Psychiatry Research Neuroimaging. 340. 111806–111806. 3 indexed citations
6.
Deng, Feng, Adrian Ion‐Mărgineanu, Derek Jones, et al.. (2023). Stimulated Raman Histology Interpretation by Artificial Intelligence Provides Near-Real-Time Pathologic Feedback for Unprocessed Prostate Biopsies. The Journal of Urology. 211(3). 384–391. 2 indexed citations
7.
Spreckelsen, Niklas von, Daniel Rueß, Marco Timmer, et al.. (2023). Intraoperative microscopic autofluorescence detection and characterization in brain tumors using stimulated Raman histology and two-photon fluorescence. Frontiers in Oncology. 13. 1146031–1146031. 20 indexed citations
8.
Weerasekera, Akila, Adrian Ion‐Mărgineanu, Christopher Green, Maria Mody, & Garry P. Nolan. (2022). Predictive models demonstrate age‐dependent association of subcortical volumes and cognitive measures. Human Brain Mapping. 44(2). 801–812. 10 indexed citations
9.
Spreckelsen, Niklas von, Christian Mawrin, Adrian Ion‐Mărgineanu, et al.. (2022). Novel rapid intraoperative qualitative tumor detection by a residual convolutional neural network using label-free stimulated Raman scattering microscopy. Acta Neuropathologica Communications. 10(1). 109–109. 28 indexed citations
10.
Weerasekera, Akila, Adrian Ion‐Mărgineanu, Garry P. Nolan, & Maria Mody. (2022). Subcortical Brain Morphometry Differences between Adults with Autism Spectrum Disorder and Schizophrenia. Brain Sciences. 12(4). 439–439. 4 indexed citations
11.
Serag, Ahmed, Adrian Ion‐Mărgineanu, Hammad Qureshi, et al.. (2019). Translational AI and Deep Learning in Diagnostic Pathology. Frontiers in Medicine. 6. 185–185. 168 indexed citations
12.
Ion‐Mărgineanu, Adrian, Sofie Van Cauter, Diana M. Sima, et al.. (2017). Comparison of manual and semi-manual delineations for classifying glioblastoma multiforme patients based on histogram and texture MRI features.. The European Symposium on Artificial Neural Networks. 501–506.
13.
Ion‐Mărgineanu, Adrian, Sofie Van Cauter, Diana M. Sima, et al.. (2017). Classifying Glioblastoma Multiforme Follow-Up Progressive vs. Responsive Forms Using Multi-Parametric MRI Features. Frontiers in Neuroscience. 10. 615–615. 18 indexed citations
14.
Ion‐Mărgineanu, Adrian, Gabriel Kocevar, Claudio Stamile, et al.. (2017). Machine Learning Approach for Classifying Multiple Sclerosis Courses by Combining Clinical Data with Lesion Loads and Magnetic Resonance Metabolic Features. Frontiers in Neuroscience. 11. 398–398. 48 indexed citations
15.
Ion‐Mărgineanu, Adrian, Sofie Van Cauter, Diana M. Sima, et al.. (2015). Tumour Relapse Prediction Using Multiparametric MR Data Recorded during Follow-Up of GBM Patients. BioMed Research International. 2015. 1–13. 6 indexed citations
16.
Ion‐Mărgineanu, Adrian, et al.. (2014). Visual manifold sensing. Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE. 9014. 90141B–90141B. 1 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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