Jacob Levman

818 total citations
33 papers, 564 citations indexed

About

Jacob Levman is a scholar working on Radiology, Nuclear Medicine and Imaging, Artificial Intelligence and Cognitive Neuroscience. According to data from OpenAlex, Jacob Levman has authored 33 papers receiving a total of 564 indexed citations (citations by other indexed papers that have themselves been cited), including 18 papers in Radiology, Nuclear Medicine and Imaging, 12 papers in Artificial Intelligence and 11 papers in Cognitive Neuroscience. Recurrent topics in Jacob Levman's work include AI in cancer detection (9 papers), MRI in cancer diagnosis (8 papers) and Radiomics and Machine Learning in Medical Imaging (7 papers). Jacob Levman is often cited by papers focused on AI in cancer detection (9 papers), MRI in cancer diagnosis (8 papers) and Radiomics and Machine Learning in Medical Imaging (7 papers). Jacob Levman collaborates with scholars based in Canada, United States and Japan. Jacob Levman's co-authors include Anne L. Martel, Petrina A. Causer, Pascal N. Tyrrell, Emi Takahashi, Indranil Balki, Afsaneh Amirabadi, Žiga Emeršič, Dehan Kong, Ángel García‐Pedrero and Alan R. Moody and has published in prestigious journals such as Scientific Reports, Cerebral Cortex and IEEE Transactions on Medical Imaging.

In The Last Decade

Jacob Levman

31 papers receiving 558 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Jacob Levman Canada 12 229 167 76 48 46 33 564
Marianna La Rocca Italy 14 200 0.9× 122 0.7× 177 2.3× 55 1.1× 49 1.1× 51 716
Domenico Diacono Italy 14 169 0.7× 186 1.1× 122 1.6× 65 1.4× 30 0.7× 38 579
Pauline Mouchès Canada 12 121 0.5× 77 0.5× 135 1.8× 27 0.6× 35 0.8× 32 550
D. Rodríguez United Kingdom 11 157 0.7× 73 0.4× 109 1.4× 26 0.5× 53 1.2× 23 367
Matthias Wilms Canada 15 229 1.0× 142 0.9× 72 0.9× 43 0.9× 184 4.0× 71 791
Ahmed A. Khalil Germany 14 306 1.3× 106 0.6× 134 1.8× 68 1.4× 131 2.8× 41 864
Bilwaj Gaonkar United States 19 290 1.3× 139 0.8× 223 2.9× 53 1.1× 130 2.8× 55 1.0k
Deepthi Rajashekar Canada 14 126 0.6× 76 0.5× 134 1.8× 22 0.5× 92 2.0× 35 636
Ana I. L. Namburete United Kingdom 15 216 0.9× 205 1.2× 92 1.2× 26 0.5× 138 3.0× 41 717
Dehan Kong Canada 15 118 0.5× 152 0.9× 62 0.8× 127 2.6× 29 0.6× 56 915

Countries citing papers authored by Jacob Levman

Since Specialization
Citations

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

Fields of papers citing papers by Jacob Levman

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jacob Levman

This figure shows the co-authorship network connecting the top 25 collaborators of Jacob Levman. A scholar is included among the top collaborators of Jacob Levman 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 Jacob Levman. Jacob Levman 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.
Levman, Jacob, et al.. (2023). Error Consistency for Machine Learning Evaluation and Validation with Application to Biomedical Diagnostics. Diagnostics. 13(7). 1315–1315. 6 indexed citations
2.
Shiohama, Tadashi, Norihide Maikusa, Jun Natsume, et al.. (2023). A Brain Morphometry Study with Across-Site Harmonization Using a ComBat-Generalized Additive Model in Children and Adolescents. Diagnostics. 13(17). 2774–2774. 2 indexed citations
3.
Takahashi, Emi, Rafael Peres, André van der Kouwe, et al.. (2023). Integration of structural MRI and epigenetic analyses hint at linked cellular defects of the subventricular zone and insular cortex in autism: Findings from a case study. Frontiers in Neuroscience. 16. 1023665–1023665. 4 indexed citations
4.
Levman, Jacob, et al.. (2022). A morphological study of schizophrenia with magnetic resonance imaging, advanced analytics, and machine learning. Frontiers in Neuroscience. 16. 926426–926426. 8 indexed citations
5.
Levman, Jacob, et al.. (2022). Cortical thickness abnormalities in attention deficit hyperactivity disorder revealed by structural magnetic resonance imaging: Newborns to young adults. International Journal of Developmental Neuroscience. 82(7). 584–595. 2 indexed citations
6.
Magana-Mora, Arturo, et al.. (2022). A novel graph mining approach to predict and evaluate food-drug interactions. Scientific Reports. 12(1). 1061–1061. 22 indexed citations
7.
Balki, Indranil, et al.. (2022). Quantifying uncertainty in machine learning classifiers for medical imaging. International Journal of Computer Assisted Radiology and Surgery. 17(4). 711–718. 5 indexed citations
8.
Levman, Jacob, et al.. (2021). Hold‐out validation for the assessment of stability and reliability of multivariable regression demonstrated with magnetic resonance imaging of patients with schizophrenia. International Journal of Developmental Neuroscience. 81(7). 655–662. 9 indexed citations
9.
Balki, Indranil, et al.. (2020). Assessing and mitigating the effects of class imbalance in machine learning with application to X-ray imaging. International Journal of Computer Assisted Radiology and Surgery. 15(12). 2041–2048. 36 indexed citations
10.
Levman, Jacob, et al.. (2019). Structural Magnetic Resonance Imaging Demonstrates Abnormal Regionally-Differential Cortical Thickness Variability in Autism: From Newborns to Adults. Frontiers in Human Neuroscience. 13. 75–75. 15 indexed citations
11.
Levman, Jacob & Emi Takahashi. (2016). Multivariate Analyses Applied to Healthy Neurodevelopment in Fetal, Neonatal, and Pediatric MRI. Frontiers in Neuroanatomy. 9. 163–163. 6 indexed citations
12.
Levman, Jacob & Emi Takahashi. (2015). Multivariate analyses applied to fetal, neonatal and pediatric MRI of neurodevelopmental disorders. NeuroImage Clinical. 9. 532–544. 21 indexed citations
13.
14.
Levman, Jacob, Ellen Warner, Petrina A. Causer, & Anne L. Martel. (2014). Semi-Automatic Region-of-Interest Segmentation Based Computer-Aided Diagnosis of Mass Lesions from Dynamic Contrast-Enhanced Magnetic Resonance Imaging Based Breast Cancer Screening. Journal of Digital Imaging. 27(5). 670–678. 14 indexed citations
15.
Levman, Jacob, Ellen Warner, Petrina A. Causer, & Anne L. Martel. (2013). A Vector Machine Formulation with Application to the Computer-Aided Diagnosis of Breast Cancer from DCE-MRI Screening Examinations. Journal of Digital Imaging. 27(1). 145–151. 7 indexed citations
16.
Korenberg, Michael J., et al.. (2012). Feature Selection in Computer-Aided Breast Cancer Diagnosis via Dynamic Contrast-Enhanced Magnetic Resonance Images. Journal of Digital Imaging. 26(2). 198–208. 23 indexed citations
17.
Levman, Jacob & Anne L. Martel. (2011). A Margin Sharpness Measurement for the Diagnosis of Breast Cancer from Magnetic Resonance Imaging Examinations. Academic Radiology. 18(12). 1577–1581. 19 indexed citations
18.
Levman, Jacob & Anne L. Martel. (2010). Computer-aided diagnosis of breast cancer from magnetic resonance imaging examinations by custom radial basis function vector machine. PubMed. 2010. 5577–5580. 9 indexed citations
19.
Levman, Jacob, Petrina A. Causer, Ellen Warner, & Anne L. Martel. (2009). Effect of the Enhancement Threshold on the Computer-Aided Detection of Breast Cancer using MRI. Academic Radiology. 16(9). 1064–1069. 15 indexed citations
20.
Levman, Jacob, Gul N. Khan, & Javad Alirezaie. (2004). Hardware-software co-synthesis of bus architecture embedded devices. 69–72. 2 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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