Katie Ovens

1.0k total citations
28 papers, 593 citations indexed

About

Katie Ovens is a scholar working on Molecular Biology, Artificial Intelligence and Rheumatology. According to data from OpenAlex, Katie Ovens has authored 28 papers receiving a total of 593 indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Molecular Biology, 7 papers in Artificial Intelligence and 5 papers in Rheumatology. Recurrent topics in Katie Ovens's work include Bioinformatics and Genomic Networks (8 papers), Gene expression and cancer classification (8 papers) and AI in cancer detection (5 papers). Katie Ovens is often cited by papers focused on Bioinformatics and Genomic Networks (8 papers), Gene expression and cancer classification (8 papers) and AI in cancer detection (5 papers). Katie Ovens collaborates with scholars based in Canada, United States and Iran. Katie Ovens's co-authors include Farhad Maleki, Caroline Reinhold, Reza Forghani, Anthony Kusalik, Nikesh Muthukrishnan, Daniel J. Hogan, Ian McQuillan, Christopher Naugler, Behzad Forghani and B. Frank Eames and has published in prestigious journals such as Bioinformatics, Development and BMC Bioinformatics.

In The Last Decade

Katie Ovens

25 papers receiving 570 citations

Peers

Countries citing papers authored by Katie Ovens

Since Specialization

Citations

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

Fields of papers citing papers by Katie Ovens

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Katie Ovens

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

All Works

Sort: Min cites: Since: Top N: Style:

20 of 20 papers shown

#	Work	Indexed citations
1	Rel-UNet: Reliable Tumor Segmentation via Uncertainty Quantification in nnU-Net 2025 ·(unknown), Farhad Maleki, Katie Ovens	0
2	A Small-Scale Evaluation of Large Language Models Used for Grammatical Error Correction in a German Children’s Literature Corpus: A Comparative Study 2025 ·Applied Sciences ·(unknown), (unknown), Roswita Dressler, Katie Ovens	0
3	Chondrocyte maturation bridges two cross-inhibitory subnetworks of the skeletal cell gene regulatory network 2025 ·Development ·(unknown), Katie Ovens, Amir M. Ashique, (unknown), Ian McQuillan, B. Frank Eames	0
4	RIDGE: Reproducibility, Integrity, Dependability, Generalizability, and Efficiency Assessment of Medical Image Segmentation Models 2024 ·Journal of Imaging Informatics in Medicine ·Farhad Maleki, Linda Moy, Reza Forghani, Tapotosh Ghosh, Katie Ovens, Steve G. Langer, Pouria Rouzrokh, Bardia Khosravi, (unknown), (unknown), Roxana Daneshjou, Mana Moassefi, Atlas Haddadi Avval, Susan Sotardi, Neil Tenenholtz, Felipe Kitamura, Timothy L. Kline	2
5	Deciphering the functions of Stromal Interaction Molecule-1 in amelogenesis using AmelX-iCre mice 2023 ·Frontiers in Physiology ·(unknown), (unknown), D.N. Cooper, Katie Ovens, Ian McQuillan, Silvana Papagerakis, Pétros Papagerakis	2
6	Proteoglycan inhibition of canonical BMP-dependent cartilage maturation delays endochondral ossification 2023 ·Development ·(unknown), Connor T. A. Brenna, Amir M. Ashique, (unknown), Katie Ovens, Toshiyasu Koike, Hiroshi Kitagawa, B. Frank Eames	3
7	Generalizability of Machine Learning Models: Quantitative Evaluation of Three Methodological Pitfalls 2022 ·Radiology Artificial Intelligence ·Farhad Maleki, Katie Ovens, Rajiv Gupta, Caroline Reinhold, Alan Spatz, Reza Forghani	67
8	Limb Mesoderm and Head Ectomesenchyme Both Express a Core Transcriptional Program During Chondrocyte Differentiation 2022 ·Frontiers in Cell and Developmental Biology ·(unknown), Katie Ovens, B. Frank Eames	5
9	Site-Specific Variation in Radiomic Features of Head and Neck Squamous Cell Carcinoma and Its Impact on Machine Learning Models 2021 ·Cancers ·Xiaoyang Liu, Farhad Maleki, Nikesh Muthukrishnan, Katie Ovens, Shao Hui Huang, (unknown), Griselda Romero-Sánchez, Sahir Bhatnagar, Avishek Chatterjee, Marc Pusztaszeri, Alan Spatz, Gerald Batist, Seyedmehdi Payabvash, Stefan P. Haider, Amit Mahajan, Caroline Reinhold, Behzad Forghani, Brian O’Sullivan, Eugene Yu, Reza Forghani	5
10	Comparative Analyses of Gene Co-expression Networks: Implementations and Applications in the Study of Evolution 2021 ·Frontiers in Genetics ·Katie Ovens, B. Frank Eames, Ian McQuillan	37
11	Juxtapose: a gene-embedding approach for comparing co-expression networks 2021 ·BMC Bioinformatics ·Katie Ovens, Farhad Maleki, B. Frank Eames, Ian McQuillan	12
12	Brief History of Artificial Intelligence 2020 ·Neuroimaging Clinics of North America ·Nikesh Muthukrishnan, Farhad Maleki, Katie Ovens, Caroline Reinhold, Behzad Forghani, Reza Forghani	100
13	Overview of Machine Learning Part 1 2020 ·Neuroimaging Clinics of North America ·Farhad Maleki, Katie Ovens, (unknown), Behzad Forghani, Caroline Reinhold, Reza Forghani	24
14	Machine Learning Algorithm Validation 2020 ·Neuroimaging Clinics of North America ·Farhad Maleki, Nikesh Muthukrishnan, Katie Ovens, Caroline Reinhold, Reza Forghani	89
15	Method Choice in Gene Set Analysis Has Important Consequences for Analysis Outcome. 2019 ·Bioinformatics ·Farhad Maleki, Katie Ovens, (unknown), Alan Rosenberg, Anthony Kusalik	1
16	Size matters: how sample size affects the reproducibility and specificity of gene set analysis 2019 ·Human Genomics ·Farhad Maleki, Katie Ovens, Ian McQuillan, Anthony Kusalik	35
17	Gene Set Databases 2019 ·Farhad Maleki, Katie Ovens, Ian McQuillan, (unknown), Alan Rosenberg, Anthony Kusalik	4
18	Method Choice in Gene Set Analysis Has Important Consequences for Analysis Outcome 2019 ·Farhad Maleki, Katie Ovens, (unknown), Alan Rosenberg, Anthony Kusalik	1
19	Preliminary evidence of different selection pressures on cancer cells as compared to normal tissues 2012 ·Theoretical Biology and Medical Modelling ·Katie Ovens, Christopher Naugler	9
20	How useful are delta checks in the 21st century? A stochastic-dynamic model of specimen mix-up and detection 2012 ·Journal of Pathology Informatics ·Katie Ovens, Christopher Naugler	40

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.

Explore authors with similar magnitude of impact