Matthew Nitzken

764 total citations
25 papers, 306 citations indexed

About

Matthew Nitzken is a scholar working on Radiology, Nuclear Medicine and Imaging, Computer Vision and Pattern Recognition and Cognitive Neuroscience. According to data from OpenAlex, Matthew Nitzken has authored 25 papers receiving a total of 306 indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Radiology, Nuclear Medicine and Imaging, 8 papers in Computer Vision and Pattern Recognition and 6 papers in Cognitive Neuroscience. Recurrent topics in Matthew Nitzken's work include Medical Image Segmentation Techniques (8 papers), Radiomics and Machine Learning in Medical Imaging (5 papers) and Medical Imaging Techniques and Applications (5 papers). Matthew Nitzken is often cited by papers focused on Medical Image Segmentation Techniques (8 papers), Radiomics and Machine Learning in Medical Imaging (5 papers) and Medical Imaging Techniques and Applications (5 papers). Matthew Nitzken collaborates with scholars based in United States, New Zealand and Egypt. Matthew Nitzken's co-authors include Ayman El‐Baz, Georgy Gimel’farb, Ahmed Elnakib, Fahmi Khalifa, Robert Falk, Mohamed Abou El‐Ghar, Manuel F. Casanova, Ahmed Soliman, Andrew E. Switala and Manuel F. Casanova and has published in prestigious journals such as CHEST Journal, IEEE Journal of Biomedical and Health Informatics and Journal of Cardiovascular Magnetic Resonance.

In The Last Decade

Matthew Nitzken

25 papers receiving 300 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Matthew Nitzken United States 11 145 78 73 70 61 25 306
Qiyong Guo China 12 65 0.4× 30 0.4× 86 1.2× 35 0.5× 38 0.6× 43 406
Amir Tahmasebi United States 11 143 1.0× 71 0.9× 62 0.8× 63 0.9× 146 2.4× 22 351
James A. Proudfoot United States 8 264 1.8× 24 0.3× 101 1.4× 73 1.0× 24 0.4× 18 449
Lingfeng Wen Australia 15 279 1.9× 87 1.1× 64 0.9× 169 2.4× 81 1.3× 52 639
Jiance Li China 13 295 2.0× 108 1.4× 94 1.3× 14 0.2× 113 1.9× 29 511
Chuan Zhou China 11 183 1.3× 67 0.9× 22 0.3× 126 1.8× 146 2.4× 56 400
Dror Lederman United States 14 170 1.2× 158 2.0× 32 0.4× 78 1.1× 264 4.3× 37 483
D. Rodríguez United Kingdom 11 157 1.1× 24 0.3× 109 1.5× 53 0.8× 73 1.2× 23 367
Delia P. McGarry United States 5 211 1.5× 27 0.3× 54 0.7× 108 1.5× 23 0.4× 8 432
Rachid Fahmi United States 9 177 1.2× 25 0.3× 75 1.0× 47 0.7× 14 0.2× 35 310

Countries citing papers authored by Matthew Nitzken

Since Specialization
Citations

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

Fields of papers citing papers by Matthew Nitzken

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Matthew Nitzken

This figure shows the co-authorship network connecting the top 25 collaborators of Matthew Nitzken. A scholar is included among the top collaborators of Matthew Nitzken 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 Matthew Nitzken. Matthew Nitzken 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.
Nitzken, Matthew, Ahmed Shalaby, Omar Dekhil, et al.. (2018). Towards Personalized Autism Diagnosis: Promising Results. 1. 3862–3867. 3 indexed citations
2.
Barnes, Gregory, Matthew Nitzken, Andrew E. Switala, et al.. (2017). A new deep-learning approach for early detection of shape variations in autism using structural mri. 1057–1061. 15 indexed citations
3.
Alansary, Amir, Marwa Ismail, Ahmed Soliman, et al.. (2015). Infant Brain Extraction in T1-Weighted MR Images Using BET and Refinement Using LCDG and MGRF Models. IEEE Journal of Biomedical and Health Informatics. 20(3). 925–935. 24 indexed citations
4.
Elnakib, Ahmed, Ahmed Soliman, Matthew Nitzken, et al.. (2014). Magnetic Resonance Imaging Findings for Dyslexia: A Review. Journal of Biomedical Nanotechnology. 10(10). 2778–2805. 35 indexed citations
5.
Nitzken, Matthew, Ahmed Elnakib, Fahmi Khalifa, et al.. (2014). Cortical surface complexity in a population-based normative sample. Translational Neuroscience. 5(1). 4 indexed citations
6.
Alansary, Amir, Ahmed Soliman, Matthew Nitzken, et al.. (2014). An integrated geometrical and stochastic approach for accurate infant brain extraction. 17. 3542–3546. 4 indexed citations
7.
Nitzken, Matthew, et al.. (2013). Local wavelet-based filtering of electromyographic signals to eliminate the electrocardiographic-induced artifacts in patients with spinal cord injury. Journal of Biomedical Science and Engineering. 6(7). 1–13. 11 indexed citations
8.
Alansary, Amir, Ahmed Soliman, Fahmi Khalifa, et al.. (2013). MAP–Based Framework for Segmentation of MR Brain Images Based on Visual Appearance and Prior Shape. 7 indexed citations
9.
El‐Baz, Ayman, Fahmi Khalifa, Ahmed Elnakib, et al.. (2012). A Novel Approach for Global Lung Registration Using 3D Markov-Gibbs Appearance Model. Lecture notes in computer science. 15(Pt 2). 114–121. 5 indexed citations
10.
Williams, Emily L., Ayman El‐Baz, Matthew Nitzken, Andrew E. Switala, & Manuel F. Casanova. (2012). Spherical harmonic analysis of cortical complexity in autism and dyslexia. Translational Neuroscience. 3(1). 36–40. 17 indexed citations
11.
Nitzken, Matthew, Garth M. Beache, Ahmed Elnakib, et al.. (2012). Accurate modeling of tagged CMR 3D image appearance characteristics to improve cardiac cycle strain estimation. 521–524. 6 indexed citations
12.
Nitzken, Matthew, Garth M. Beache, Ahmed Elnakib, et al.. (2012). Improving full-cardiac cycle strain estimation from tagged CMR by accurate modeling of 3D image appearance characteristics. 462–465. 10 indexed citations
13.
Nitzken, Matthew, Ayman El‐Baz, & Garth M. Beache. (2012). Markov-Gibbs Random Field Model for Improved Full-Cardiac Cycle Strain Estimation from Tagged CMR. Journal of Cardiovascular Magnetic Resonance. 14(S1). 3 indexed citations
14.
Nitzken, Matthew, et al.. (2011). A Novel Shape-Based Diagnostic Approach for Early Diagnosis of Lung Nodules. CHEST Journal. 140(4). 655A–655A. 3 indexed citations
15.
Khalifa, Fahmi, Garth M. Beache, Matthew Nitzken, et al.. (2011). Automatic analysis of left ventricle wall thickness using short-axis cine CMR images. 1306–1309. 10 indexed citations
16.
Nitzken, Matthew, Manuel F. Casanova, Georgy Gimel’farb, et al.. (2011). 3D shape analysis of the brain cortex with application to dyslexia. Zenodo (CERN European Organization for Nuclear Research). 2657–2660. 9 indexed citations
17.
El‐Baz, Ayman, et al.. (2011). A novel shape-based diagnostic approach for early diagnosis of lung nodules. 137–140. 20 indexed citations
18.
Elnakib, Ahmed, Garth M. Beache, Matthew Nitzken, Georgy Gimel’farb, & Ayman El‐Baz. (2011). A new framework for automated identification of pathological tissues in contrast enhanced cardiac magnetic resonance images. 1272–1275. 3 indexed citations
19.
Nitzken, Matthew, Manuel F. Casanova, Georgy Gimel’farb, et al.. (2011). 3D shape analysis of the brain cortex with application to autism. 1847–1850. 7 indexed citations
20.
El‐Baz, Ayman, Matthew Nitzken, Ahmed Elnakib, et al.. (2011). 3D Shape Analysis for Early Diagnosis of Malignant Lung Nodules. Lecture notes in computer science. 175–182. 37 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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