Carson Ingo

856 total citations
27 papers, 603 citations indexed

About

Carson Ingo is a scholar working on Radiology, Nuclear Medicine and Imaging, Modeling and Simulation and Statistical and Nonlinear Physics. According to data from OpenAlex, Carson Ingo has authored 27 papers receiving a total of 603 indexed citations (citations by other indexed papers that have themselves been cited), including 19 papers in Radiology, Nuclear Medicine and Imaging, 7 papers in Modeling and Simulation and 4 papers in Statistical and Nonlinear Physics. Recurrent topics in Carson Ingo's work include Advanced Neuroimaging Techniques and Applications (18 papers), Advanced MRI Techniques and Applications (8 papers) and Fractional Differential Equations Solutions (6 papers). Carson Ingo is often cited by papers focused on Advanced Neuroimaging Techniques and Applications (18 papers), Advanced MRI Techniques and Applications (8 papers) and Fractional Differential Equations Solutions (6 papers). Carson Ingo collaborates with scholars based in United States, Netherlands and United Kingdom. Carson Ingo's co-authors include Richard L. Magin, Luis M. Colón-Pérez, Thomas H. Mareci, William Triplett, Julius P. A. Dewald, Itamar Ronen, Todd B. Parrish, Andrew Webb, Ece Ercan and Carolina Carmona and has published in prestigious journals such as Proceedings of the National Academy of Sciences, NeuroImage and Magnetic Resonance in Medicine.

In The Last Decade

Carson Ingo

26 papers receiving 586 citations

Peers

Carson Ingo
Carson Ingo
Citations per year, relative to Carson Ingo Carson Ingo (= 1×) peers Vincenzo Sciacca

Countries citing papers authored by Carson Ingo

Since Specialization
Citations

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

Fields of papers citing papers by Carson Ingo

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Carson Ingo

This figure shows the co-authorship network connecting the top 25 collaborators of Carson Ingo. A scholar is included among the top collaborators of Carson Ingo 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 Carson Ingo. Carson Ingo 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.
Barrick, Thomas R., Carson Ingo, Matt G. Hall, & Franklyn A. Howe. (2025). Quasi‐Diffusion Imaging: Application to Ultra‐High b‐Value and Time‐Dependent Diffusion Images of Brain Tissue. NMR in Biomedicine. 38(4). e70011–e70011.
2.
Dewald, Julius P. A., et al.. (2023). Sensitivity analyses of probabilistic and deterministic DTI tractography methodologies for studying arm muscle architecture. Magnetic Resonance in Medicine. 91(2). 497–512. 3 indexed citations
4.
Ingo, Carson, James Higgins, Simin Mahinrad, et al.. (2021). Vascular health and diffusion properties of normal appearing white matter in midlife. Brain Communications. 3(2). fcab080–fcab080. 7 indexed citations
5.
Hall, Matt G. & Carson Ingo. (2021). Half Way There: Theoretical Considerations for Power Laws and Sticks in Diffusion MRI for Tissue Microstructure. Mathematics. 9(16). 1871–1871. 1 indexed citations
6.
Joshi, Divya, Julius P. A. Dewald, & Carson Ingo. (2021). Development of DTI Based Probabilistic Tractography Methods to Characterize Arm Muscle Architecture in Individuals Post Hemiparetic Stroke. 2021 43rd Annual International Conference of the IEEE Engineering in Medicine & Biology Society (EMBC). 2021. 3451–3454. 3 indexed citations
7.
Joshi, Divya, et al.. (2021). Stakeholder Perspectives on Engaging With Cerebral Palsy Research Studies After Onset of COVID-19 in the United States. Archives of Physical Medicine and Rehabilitation. 102(8). 1547–1555. 2 indexed citations
8.
Lundell, Henrik, Carson Ingo, Tim B. Dyrby, & Itamar Ronen. (2020). Cytosolic diffusivity and microscopic anisotropy of N‐acetyl aspartate in human white matter with diffusion‐weighted MRS at 7 T. NMR in Biomedicine. 34(5). e4304–e4304. 8 indexed citations
9.
Barrick, Thomas R., Carson Ingo, Jeremy Madigan, et al.. (2020). Quasi-diffusion magnetic resonance imaging (QDI): A fast, high b-value diffusion imaging technique. NeuroImage. 211. 116606–116606. 14 indexed citations
10.
Ingo, Carson, et al.. (2019). Diffusion Properties of Normal-Appearing White Matter Microstructure and Severity of Motor Impairment in Acute Ischemic Stroke. American Journal of Neuroradiology. 41(1). 71–78. 9 indexed citations
11.
Ingo, Carson, Wyger Brink, Ece Ercan, Andrew Webb, & Itamar Ronen. (2018). Studying neurons and glia non-invasively via anomalous subdiffusion of intracellular metabolites. Brain Structure and Function. 223(8). 3841–3854. 19 indexed citations
12.
Lin, Chen, Rajbeer Singh Sangha, Jungwha Lee, et al.. (2018). Infarct location is associated with quality of life after mild ischemic stroke. International Journal of Stroke. 13(8). 824–831. 13 indexed citations
13.
Wilkins, Kevin B., et al.. (2017). Neural Plasticity in Moderate to Severe Chronic Stroke Following a Device-Assisted Task-Specific Arm/Hand Intervention. Frontiers in Neurology. 8. 284–284. 47 indexed citations
14.
Ingo, Carson, et al.. (2017). Upper Extremity Motor Impairments and Microstructural Changes in Bulbospinal Pathways in Chronic Hemiparetic Stroke. Frontiers in Neurology. 8. 257–257. 68 indexed citations
15.
Ingo, Carson, Thomas R. Barrick, Andrew Webb, & Itamar Ronen. (2016). Accurate Padé Global Approximations for the Mittag-Leffler Function, Its Inverse, and Its Partial Derivatives to Efficiently Compute Convergent Power Series. International Journal of Applied and Computational Mathematics. 3(2). 347–362. 18 indexed citations
16.
Ingo, Carson, Yi Sui, Yufen Chen, et al.. (2015). Parsimonious continuous time random walk models and kurtosis for diffusion in magnetic resonance of biological tissue. Frontiers in Physics. 3. 25 indexed citations
17.
Ercan, Ece, Carson Ingo, César Magro‐Checa, et al.. (2015). A multimodal MRI approach to identify and characterize microstructural brain changes in neuropsychiatric systemic lupus erythematosus. NeuroImage Clinical. 8. 337–344. 45 indexed citations
18.
Magin, Richard L., Carson Ingo, William Triplett, Luis M. Colón-Pérez, & Thomas H. Mareci. (2014). Classification of Fractional Order Biomarkers for Anomalous Diffusion Using q-Space Entropy. Critical Reviews in Biomedical Engineering. 42(1). 63–83. 4 indexed citations
19.
Magin, Richard L., Carson Ingo, Luis M. Colón-Pérez, William Triplett, & Thomas H. Mareci. (2013). Characterization of anomalous diffusion in porous biological tissues using fractional order derivatives and entropy. Microporous and Mesoporous Materials. 178. 39–43. 134 indexed citations
20.
Magin, Richard L. & Carson Ingo. (2012). Entropy and Information in a Fractional Order Model of Anomalous Diffusion. IFAC Proceedings Volumes. 45(16). 428–433. 19 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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