Kevin Faust

597 total citations
12 papers, 380 citations indexed

About

Kevin Faust is a scholar working on Artificial Intelligence, Radiology, Nuclear Medicine and Imaging and Computer Vision and Pattern Recognition. According to data from OpenAlex, Kevin Faust has authored 12 papers receiving a total of 380 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Artificial Intelligence, 7 papers in Radiology, Nuclear Medicine and Imaging and 4 papers in Computer Vision and Pattern Recognition. Recurrent topics in Kevin Faust's work include AI in cancer detection (8 papers), Radiomics and Machine Learning in Medical Imaging (6 papers) and Digital Imaging for Blood Diseases (4 papers). Kevin Faust is often cited by papers focused on AI in cancer detection (8 papers), Radiomics and Machine Learning in Medical Imaging (6 papers) and Digital Imaging for Blood Diseases (4 papers). Kevin Faust collaborates with scholars based in Canada, United States and Saudi Arabia. Kevin Faust's co-authors include Phedias Diamandis, Ugljesa Djuric, Randy Van Ommeren, Anglin Dent, Maxime Richer, Zoya Volynskaya, Clare Fiala, Andrew Evans, Trevor J. Pugh and Sangeetha Kalimuthu and has published in prestigious journals such as Science Advances, BMC Bioinformatics and Journal of Clinical Pathology.

In The Last Decade

Kevin Faust

11 papers receiving 376 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Kevin Faust Canada	8	172	164	149	50	37	12	380
Ankush Patel United States	8	181 1.1×	120 0.7×	72 0.5×	34 0.7×	39 1.1×	19	324
Sharifa Sahai United States	2	299 1.7×	213 1.3×	141 0.9×	76 1.5×	62 1.7×	3	585
Ivy Liang United States	2	228 1.3×	161 1.0×	72 0.5×	72 1.4×	52 1.4×	3	385
Peter Truszkowski United States	2	211 1.2×	187 1.1×	66 0.4×	41 0.8×	45 1.2×	2	341
Ai Dozen Japan	10	134 0.8×	203 1.2×	115 0.8×	29 0.6×	80 2.2×	12	483
Kanto Shozu Japan	10	134 0.8×	203 1.2×	115 0.8×	29 0.6×	81 2.2×	12	484
Sophia J. Wagner Germany	6	238 1.4×	165 1.0×	290 1.9×	19 0.4×	42 1.1×	10	543
Ronnachai Jaroensri United States	5	200 1.2×	151 0.9×	54 0.4×	61 1.2×	44 1.2×	7	328
Arash Mohtashamian United States	4	386 2.2×	312 1.9×	118 0.8×	87 1.7×	40 1.1×	11	567
Gustav Müller‐Franzes Germany	11	239 1.4×	316 1.9×	99 0.7×	89 1.8×	22 0.6×	22	567

Countries citing papers authored by Kevin Faust

Since Specialization

Citations

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

Fields of papers citing papers by Kevin Faust

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Kevin Faust

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

All Works

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12 of 12 papers shown

Faust, Kevin, et al.. (2025). Dysmorphic neurons express markers of inhibitory glycinergic signaling in focal cortical dysplasia IIb. Brain Pathology. 36(2). e70043–e70043.

Faust, Kevin, et al.. (2023). Standardizing analysis of intra‐tumoral heterogeneity with computational pathology. Genes Chromosomes and Cancer. 62(9). 526–539. 2 indexed citations

Dent, Anglin, Kevin Faust, Alberto J. León, et al.. (2023). HAVOC: Small-scale histomic mapping of cancer biodiversity across large tissue distances using deep neural networks. Science Advances. 9(39). eadg1894–eadg1894. 3 indexed citations

Faust, Kevin, et al.. (2022). Compound computer vision workflow for efficient and automated immunohistochemical analysis of whole slide images. Journal of Clinical Pathology. 76(7). 480–485. 7 indexed citations

Faust, Kevin, Anglin Dent, Clare Fiala, et al.. (2022). Integrating morphologic and molecular histopathological features through whole slide image registration and deep learning. Neuro-Oncology Advances. 4(1). vdac001–vdac001. 11 indexed citations

Faust, Kevin, et al.. (2022). The Brain Protein Atlas: A conglomerate of proteomics datasets of human neural tissue. PROTEOMICS. 22(23-24). e2200127–e2200127. 7 indexed citations

Faust, Kevin, et al.. (2020). Unsupervised Machine Learning in Pathology. Surgical pathology clinics. 13(2). 349–358. 30 indexed citations

Faust, Kevin, Alberto J. León, Anglin Dent, et al.. (2020). Unsupervised Resolution of Histomorphologic Heterogeneity in Renal Cell Carcinoma Using a Brain Tumor–Educated Neural Network. JCO Clinical Cancer Informatics. 4(4). 811–821. 21 indexed citations

Faust, Kevin, et al.. (2019). Deep learning for image analysis: Personalizing medicine closer to the point of care. Critical Reviews in Clinical Laboratory Sciences. 56(1). 61–73. 37 indexed citations

10.

Dent, Anglin, Kevin Faust, Maxime Richer, et al.. (2019). Physician perspectives on integration of artificial intelligence into diagnostic pathology. npj Digital Medicine. 2(1). 28–28. 185 indexed citations

11.

Faust, Kevin, et al.. (2019). Intelligent feature engineering and ontological mapping of brain tumour histomorphologies by deep learning. Nature Machine Intelligence. 1(7). 316–321. 31 indexed citations

12.

Faust, Kevin, et al.. (2018). Visualizing histopathologic deep learning classification and anomaly detection using nonlinear feature space dimensionality reduction. BMC Bioinformatics. 19(1). 173–173. 46 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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