Diana M. Sima

2.9k total citations
106 papers, 1.7k citations indexed

About

Diana M. Sima is a scholar working on Radiology, Nuclear Medicine and Imaging, Computer Vision and Pattern Recognition and Pathology and Forensic Medicine. According to data from OpenAlex, Diana M. Sima has authored 106 papers receiving a total of 1.7k indexed citations (citations by other indexed papers that have themselves been cited), including 56 papers in Radiology, Nuclear Medicine and Imaging, 22 papers in Computer Vision and Pattern Recognition and 17 papers in Pathology and Forensic Medicine. Recurrent topics in Diana M. Sima's work include Advanced MRI Techniques and Applications (38 papers), Multiple Sclerosis Research Studies (17 papers) and NMR spectroscopy and applications (14 papers). Diana M. Sima is often cited by papers focused on Advanced MRI Techniques and Applications (38 papers), Multiple Sclerosis Research Studies (17 papers) and NMR spectroscopy and applications (14 papers). Diana M. Sima collaborates with scholars based in Belgium, United States and Netherlands. Diana M. Sima's co-authors include Sabine Van Huffel, Jean‐Baptiste Poullet, Uwe Himmelreich, Frederik Maes, Dirk Smeets, Saurabh Jain, Wim Van Hecke, Gene H. Golub, Sofie Van Cauter and Annemie Ribbens and has published in prestigious journals such as PLoS ONE, NeuroImage and Neurology.

In The Last Decade

Diana M. Sima

98 papers receiving 1.7k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Diana M. Sima Belgium 22 762 308 292 235 200 106 1.7k
J. Ross Mitchell Canada 28 1.1k 1.5× 381 1.2× 339 1.2× 185 0.8× 225 1.1× 71 2.4k
Bruno Alfano Italy 25 759 1.0× 448 1.5× 175 0.6× 159 0.7× 203 1.0× 63 1.8k
Peng Cao China 26 1.1k 1.4× 117 0.4× 618 2.1× 175 0.7× 126 0.6× 142 2.4k
Tian Liu China 25 1.1k 1.5× 64 0.2× 147 0.5× 215 0.9× 220 1.1× 108 2.4k
Michaël Sdika France 16 517 0.7× 126 0.4× 195 0.7× 65 0.3× 92 0.5× 45 946
Leigh A. Johnston Australia 30 787 1.0× 128 0.4× 105 0.4× 159 0.7× 424 2.1× 108 2.7k
Johannes Slotboom Switzerland 35 1.7k 2.3× 63 0.2× 143 0.5× 287 1.2× 374 1.9× 95 3.6k
Jean‐Paul Armspach France 18 308 0.4× 261 0.8× 262 0.9× 73 0.3× 71 0.4× 47 933
Berkin Bilgic̦ United States 33 3.1k 4.0× 85 0.3× 206 0.7× 58 0.2× 126 0.6× 135 3.6k
Martin Wilson United Kingdom 28 1.2k 1.6× 262 0.9× 25 0.1× 100 0.4× 672 3.4× 102 2.5k

Countries citing papers authored by Diana M. Sima

Since Specialization
Citations

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

Fields of papers citing papers by Diana M. Sima

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Diana M. Sima. 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 Diana M. Sima. The network helps show where Diana M. Sima may publish in the future.

Co-authorship network of co-authors of Diana M. Sima

This figure shows the co-authorship network connecting the top 25 collaborators of Diana M. Sima. A scholar is included among the top collaborators of Diana M. Sima 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 Diana M. Sima. Diana M. Sima 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.
Costers, Lars, Ann Van Remoortel, Marie D’hooghe, et al.. (2025). A New Smartphone-Based Cognitive Screening Battery for Multiple Sclerosis (icognition): Validation Study. Journal of Medical Internet Research. 27. e53503–e53503. 1 indexed citations
2.
Bjerke, Maria, Marie D’hooghe, Guy Nagels, et al.. (2025). Real-world brain volumetry in multiple sclerosis: importance of methodological consistency and clinical relevance of gray matter atrophy. Frontiers in Neurology. 16. 1637835–1637835.
3.
Krieger, Stephen, Marijean Buhse, Diana M. Sima, et al.. (2024). Evaluating the effect of dimethyl fumarate on subclinical biomarkers in a real-world patient cohort. Journal of Neuroimmunology. 393. 578397–578397. 1 indexed citations
4.
5.
Sima, Diana M., Ricardo Magalhães, Celine Maes, et al.. (2024). Validation of Icobrain Aria - An AI-based Software Tool for Automated Detection and Quantification of Amyloid-related Imaging Abnormalities (S1.005). Neurology. 102(7_supplement_1). 2 indexed citations
6.
Costers, Lars, Ann Van Remoortel, Marie D’hooghe, et al.. (2023). The Finger Dexterity Test: Validation study of a smartphone-based manual dexterity assessment. Multiple Sclerosis Journal. 30(1). 121–130. 2 indexed citations
7.
Engemann, Denis A., Lars Costers, Iris‐Katharina Penner, et al.. (2022). Brain age as a surrogate marker for cognitive performance in multiple sclerosis. European Journal of Neurology. 29(10). 3039–3049. 18 indexed citations
8.
Sima, Diana M., et al.. (2022). Factorizer: A scalable interpretable approach to context modeling for medical image segmentation. Medical Image Analysis. 84. 102706–102706. 29 indexed citations
9.
Hecke, Wim Van, Lars Costers, Annemie Ribbens, et al.. (2021). A Novel Digital Care Management Platform to Monitor Clinical and Subclinical Disease Activity in Multiple Sclerosis. Brain Sciences. 11(9). 1171–1171. 17 indexed citations
10.
Schependom, Jeroen Van, Diego Vidaurre, Lars Costers, et al.. (2021). Increased brain atrophy and lesion load is associated with stronger lower alpha MEG power in multiple sclerosis patients. NeuroImage Clinical. 30. 102632–102632. 6 indexed citations
11.
Golan, Daniel, Glen M. Doniger, Diana M. Sima, et al.. (2020). The association between MRI brain volumes and computerized cognitive scores of people with multiple sclerosis. Brain and Cognition. 145. 105614–105614. 13 indexed citations
12.
Jain, Saurabh, Thijs Vande Vyvere, Diana M. Sima, et al.. (2019). Automatic Quantification of Computed Tomography Features in Acute Traumatic Brain Injury. Journal of Neurotrauma. 36(11). 1794–1803. 46 indexed citations
13.
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.
14.
Jain, Saurabh, Diana M. Sima, Gilbert Hangel, et al.. (2017). Patch-Based Super-Resolution of MR Spectroscopic Images: Application to Multiple Sclerosis. Frontiers in Neuroscience. 11. 13–13. 30 indexed citations
15.
Sima, Diana M., et al.. (2016). MSmetrix validation of normative brain volume population graphs to serve as a reference in the clinical follow up of MS patients. 2 indexed citations
16.
Jain, Saurabh, et al.. (2015). MSmetrix: accurate untrained method for longitudinal lesion segmentation. Multiple Sclerosis Journal. 193–194. 1 indexed citations
17.
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
18.
Jain, Saurabh, Dirk Smeets, Annemie Ribbens, et al.. (2014). Automatic multiple sclerosis brain lesion localization and volumetry. Multiple Sclerosis Journal. 20. 285–496. 13 indexed citations
19.
Sima, Diana M., et al.. (2011). Metabolite-sensitive analysis of magnetic resonance spectroscopic signals using the continuous wavelet transform. Measurement Science and Technology. 22(11). 114013–114013.
20.
Poullet, Jean‐Baptiste, Diana M. Sima, Sabine Van Huffel, & Paul Van Hecke. (2007). Frequency-selective quantitation of short-echo time 1H magnetic resonance spectra. Journal of Magnetic Resonance. 186(2). 293–304. 15 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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