Casey Goodlett

474 total citations
16 papers, 371 citations indexed

About

Casey Goodlett is a scholar working on Radiology, Nuclear Medicine and Imaging, Pediatrics, Perinatology and Child Health and Computational Mathematics. According to data from OpenAlex, Casey Goodlett has authored 16 papers receiving a total of 371 indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Radiology, Nuclear Medicine and Imaging, 6 papers in Pediatrics, Perinatology and Child Health and 6 papers in Computational Mathematics. Recurrent topics in Casey Goodlett's work include Advanced Neuroimaging Techniques and Applications (14 papers), Tensor decomposition and applications (6 papers) and Fetal and Pediatric Neurological Disorders (6 papers). Casey Goodlett is often cited by papers focused on Advanced Neuroimaging Techniques and Applications (14 papers), Tensor decomposition and applications (6 papers) and Fetal and Pediatric Neurological Disorders (6 papers). Casey Goodlett collaborates with scholars based in United States and United Kingdom. Casey Goodlett's co-authors include Guido Gerig, John H. Gilmore, P. Thomas Fletcher, Edwin R. Hancock, Fan Zhang, Brad Davis, Martin Styner, Jeffrey E. Bischoff, Sylvain Gouttard and Yifei Dai and has published in prestigious journals such as NeuroImage, Medical Image Analysis and Journal of Biomechanical Engineering.

In The Last Decade

Casey Goodlett

15 papers receiving 363 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Casey Goodlett United States 9 285 135 78 42 26 16 371
Caroline Brun United States 7 263 0.9× 48 0.4× 79 1.0× 23 0.5× 47 1.8× 11 428
Emmanuel Caruyer France 9 441 1.5× 84 0.6× 104 1.3× 12 0.3× 13 0.5× 30 506
Shahrum Nedjati-Gilani United Kingdom 4 348 1.2× 65 0.5× 103 1.3× 11 0.3× 21 0.8× 6 403
PA Cook Australia 4 332 1.2× 67 0.5× 105 1.3× 14 0.3× 14 0.5× 6 384
KK Seunarine United Kingdom 4 356 1.2× 74 0.5× 114 1.5× 12 0.3× 14 0.5× 7 410
C.-F. Westin United States 4 470 1.6× 185 1.4× 122 1.6× 75 1.8× 43 1.7× 5 499
MG Hall Australia 3 325 1.1× 63 0.5× 103 1.3× 10 0.2× 14 0.5× 4 377
Isabelle Bloch France 5 223 0.8× 66 0.5× 72 0.9× 11 0.3× 60 2.3× 9 304
Maxime Chamberland United Kingdom 17 625 2.2× 144 1.1× 256 3.3× 21 0.5× 32 1.2× 39 732

Countries citing papers authored by Casey Goodlett

Since Specialization
Citations

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

Fields of papers citing papers by Casey Goodlett

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Casey Goodlett

This figure shows the co-authorship network connecting the top 25 collaborators of Casey Goodlett. A scholar is included among the top collaborators of Casey Goodlett 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 Casey Goodlett. Casey Goodlett 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.
Budin, François, Aditya Gupta, Mahshid Farzinfar, et al.. (2014). UNC-Utah NA-MIC framework for DTI fiber tract analysis. Frontiers in Neuroinformatics. 7. 51–51. 52 indexed citations
2.
Gupta, Aditya, Mahshid Farzinfar, Charlotte A. Boettiger, et al.. (2013). UNC-Utah NA-MIC DTI framework: atlas based fiber tract analysis with application to a study of nicotine smoking addiction. Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE. 8669. 86692D–86692D. 3 indexed citations
3.
Bischoff, Jeffrey E., et al.. (2013). Verification and Validation of an Open Source–Based Morphology Analysis Platform to Support Implant Design. Journal of Medical Devices. 7(4). 3 indexed citations
4.
Bischoff, Jeffrey E., et al.. (2013). Incorporating Population-Level Variability in Orthopedic Biomechanical Analysis: A Review. Journal of Biomechanical Engineering. 136(2). 21004–21004. 21 indexed citations
5.
Gouttard, Sylvain, Casey Goodlett, Marek Kubicki, & Guido Gerig. (2012). Measures for validation of DTI tractography. Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE. 8314. 83140J–83140J. 3 indexed citations
6.
Liu, Zhexing, Casey Goodlett, Guido Gerig, & Martin Styner. (2010). Evaluation of DTI property maps as basis of DTI atlas building. Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE. 7623. 762325–762325. 3 indexed citations
7.
Liu, Zhexing, Hongtu Zhu, Bonita L. Marks, et al.. (2009). Voxel-wise group analysis of DTI. PubMed. 807–810. 16 indexed citations
8.
Gouttard, Sylvain, Marcel Prastawa, Elizabeth Bullitt, et al.. (2009). Constrained Data Decomposition and Regression for Analyzing Healthy Aging from Fiber Tract Diffusion Properties. Lecture notes in computer science. 12(Pt 1). 321–328. 4 indexed citations
9.
Goodlett, Casey. (2009). Computation of statistics for populations of diffusion tensor images.
10.
Goodlett, Casey, P. Thomas Fletcher, John H. Gilmore, & Guido Gerig. (2008). Group analysis of DTI fiber tract statistics with application to neurodevelopment. NeuroImage. 45(1). S133–S142. 145 indexed citations
11.
Goodlett, Casey, P. Thomas Fletcher, John H. Gilmore, & Guido Gerig. (2008). Group Statistics of DTI Fiber Bundles Using Spatial Functions of Tensor Measures. Lecture notes in computer science. 11(Pt 1). 1068–1075. 12 indexed citations
12.
Zhang, Fan, Edwin R. Hancock, Casey Goodlett, & Guido Gerig. (2008). Probabilistic white matter fiber tracking using particle filtering and von Mises–Fisher sampling. Medical Image Analysis. 13(1). 5–18. 49 indexed citations
13.
Goodlett, Casey, et al.. (2007). Probabilistic Fiber Tracking Using Particle Filtering. Lecture notes in computer science. 10(Pt 2). 144–152. 12 indexed citations
14.
Goodlett, Casey, P. Thomas Fletcher, Weili Lin, & Guido Gerig. (2007). Quantification of Measurement Error in DTI: Theoretical Predictions and Validation. Lecture notes in computer science. 10(Pt 1). 10–17. 14 indexed citations
15.
Goodlett, Casey, et al.. (2006). Improved Correspondence for DTI Population Studies Via Unbiased Atlas Building. Lecture notes in computer science. 9(Pt 2). 260–267. 31 indexed citations
16.
Goodlett, Casey, Isabelle Corouge, Matthieu Jomier, & Guido Gerig. (2005). A Quantitative DTI Fiber Tract Analysis Suite. HAL (Le Centre pour la Communication Scientifique Directe). 3 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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