Karl Spuhler

439 total citations
14 papers, 325 citations indexed

About

Karl Spuhler is a scholar working on Radiology, Nuclear Medicine and Imaging, Biomedical Engineering and Cognitive Neuroscience. According to data from OpenAlex, Karl Spuhler has authored 14 papers receiving a total of 325 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Radiology, Nuclear Medicine and Imaging, 3 papers in Biomedical Engineering and 2 papers in Cognitive Neuroscience. Recurrent topics in Karl Spuhler's work include Radiomics and Machine Learning in Medical Imaging (6 papers), Medical Imaging Techniques and Applications (5 papers) and Advanced Neuroimaging Techniques and Applications (4 papers). Karl Spuhler is often cited by papers focused on Radiomics and Machine Learning in Medical Imaging (6 papers), Medical Imaging Techniques and Applications (5 papers) and Advanced Neuroimaging Techniques and Applications (4 papers). Karl Spuhler collaborates with scholars based in United States and China. Karl Spuhler's co-authors include Chuan Huang, Jie Ding, Yi Gao, Chunling Liu, Changhong Liang, Shahid Hussain, Christine DeLorenzo, Ramin V. Parsey, Xintao Zhang and Xiaodong Zhang and has published in prestigious journals such as Biological Psychiatry, Biophysical Journal and Magnetic Resonance in Medicine.

In The Last Decade

Karl Spuhler

14 papers receiving 324 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Karl Spuhler United States 8 269 102 56 31 29 14 325
Renee Cattell United States 7 238 0.9× 107 1.0× 59 1.1× 29 0.9× 32 1.1× 13 308
Xianjing Peng China 8 156 0.6× 52 0.5× 90 1.6× 19 0.6× 10 0.3× 17 300
Tobias Hepp Germany 12 263 1.0× 89 0.9× 86 1.5× 6 0.2× 25 0.9× 26 405
Lee Hwangbo South Korea 9 181 0.7× 25 0.2× 32 0.6× 9 0.3× 22 0.8× 29 260
Taiki Magome Japan 11 226 0.8× 43 0.4× 82 1.5× 19 0.6× 11 0.4× 37 394
T. W. Vomweg Germany 10 361 1.3× 68 0.7× 24 0.4× 25 0.8× 26 0.9× 15 470
Paul Hérent France 5 187 0.7× 108 1.1× 39 0.7× 4 0.1× 23 0.8× 6 316
Weidao Chen China 11 153 0.6× 39 0.4× 72 1.3× 5 0.2× 12 0.4× 25 254
Majid Assadi Iran 9 144 0.5× 34 0.3× 23 0.4× 6 0.2× 38 1.3× 27 246
Frederick Au Canada 8 184 0.7× 59 0.6× 104 1.9× 6 0.2× 39 1.3× 15 294

Countries citing papers authored by Karl Spuhler

Since Specialization
Citations

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

Fields of papers citing papers by Karl Spuhler

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Karl Spuhler

This figure shows the co-authorship network connecting the top 25 collaborators of Karl Spuhler. A scholar is included among the top collaborators of Karl Spuhler 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 Karl Spuhler. Karl Spuhler is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

14 of 14 papers shown
1.
Spuhler, Karl, Jose R. Teruel, & P Galavis. (2021). Assessing the reproducibility of CBCT‐derived radiomics features using a novel three‐dimensional printed phantom. Medical Physics. 48(8). 4326–4333. 7 indexed citations
2.
Daar, David A., David J. Byun, Karl Spuhler, et al.. (2021). Early-onset osteoradionecrosis following adjuvant volumetric-modulated arc therapy to an osteocutaneous free fibula flap with customized titanium plate. Journal of Stomatology Oral and Maxillofacial Surgery. 123(5). e454–e457. 2 indexed citations
3.
Snellenberg, Jared X. Van, Karl Spuhler, Jodi J. Weinstein, et al.. (2021). Multitask Learning Based Three‐Dimensional Striatal Segmentation of MRI: fMRI and PET Objective Assessments. Journal of Magnetic Resonance Imaging. 54(5). 1623–1635. 1 indexed citations
4.
Spuhler, Karl, et al.. (2020). PET Image Denoising Using Structural MRI with a Novel Dilated Convolutional Neural Network. 61. 434–434. 7 indexed citations
5.
6.
Spuhler, Karl, et al.. (2019). Task‐based assessment of a convolutional neural network for segmenting breast lesions for radiomic analysis. Magnetic Resonance in Medicine. 82(2). 786–795. 28 indexed citations
7.
Liu, Chunling, Jie Ding, Karl Spuhler, et al.. (2018). Preoperative prediction of sentinel lymph node metastasis in breast cancer by radiomic signatures from dynamic contrast‐enhanced MRI. Journal of Magnetic Resonance Imaging. 49(1). 131–140. 151 indexed citations
8.
Huang, Mingqian, Jie Ding, Xintao Zhang, et al.. (2018). Prediction of Abnormal Bone Density and Osteoporosis From Lumbar Spine MR Using Modified Dixon Quant in 257 Subjects With Quantitative Computed Tomography as Reference. Journal of Magnetic Resonance Imaging. 49(2). 390–399. 38 indexed citations
9.
Spuhler, Karl, et al.. (2018). Synthesis of Patient-Specific Transmission Data for PET Attenuation Correction for PET/MRI Neuroimaging Using a Convolutional Neural Network. Journal of Nuclear Medicine. 60(4). 555–560. 45 indexed citations
10.
Liu, Chunling, Kun Wang, Xiaodan Li, et al.. (2017). Breast lesion characterization using whole‐lesion histogram analysis with stretched‐exponential diffusion model. Journal of Magnetic Resonance Imaging. 47(6). 1701–1710. 29 indexed citations
11.
Huang, Chuan, Karl Spuhler, Christine DeLorenzo, & Ramin V. Parsey. (2017). 604. Association between Major Depressive Disorder and the COMT Polymorphism as Assessed by Diffusion MRI. Biological Psychiatry. 81(10). S244–S245. 1 indexed citations
12.
Spuhler, Karl, Christine DeLorenzo, Ramin V. Parsey, & Chuan Huang. (2017). 933. Entropy Analysis Shows Temporal Pole Diffusivity Changes in Bipolar Disorder. Biological Psychiatry. 81(10). S377–S378. 1 indexed citations
13.
Spuhler, Karl, Elizabeth Bartlett, Jie Ding, et al.. (2017). Diffusion Entropy: A Potential Neuroimaging Biomarker of Bipolar Disorder in the Temporal Pole. Synapse. 72(2). 11 indexed citations
14.
Raley‐Susman, Kathleen M., et al.. (2013). Gravity Studies of C. elegans. Biophysical Journal. 104(2). 669a–669a. 1 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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Rankless by CCL
2026