Emily W. Avery

649 total citations
16 papers, 326 citations indexed

About

Emily W. Avery is a scholar working on Cognitive Neuroscience, Epidemiology and Radiology, Nuclear Medicine and Imaging. According to data from OpenAlex, Emily W. Avery has authored 16 papers receiving a total of 326 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Cognitive Neuroscience, 7 papers in Epidemiology and 7 papers in Radiology, Nuclear Medicine and Imaging. Recurrent topics in Emily W. Avery's work include Acute Ischemic Stroke Management (7 papers), Radiomics and Machine Learning in Medical Imaging (6 papers) and Functional Brain Connectivity Studies (6 papers). Emily W. Avery is often cited by papers focused on Acute Ischemic Stroke Management (7 papers), Radiomics and Machine Learning in Medical Imaging (6 papers) and Functional Brain Connectivity Studies (6 papers). Emily W. Avery collaborates with scholars based in United States, Germany and Austria. Emily W. Avery's co-authors include Monica D. Rosenberg, Marvin M. Chun, Dustin Scheinost, Abigail S. Greene, R. Todd Constable, Kwangsun Yoo, Emily S. Finn, Maolin Qiu, Ramachandran Ramani and Siyuan Gao and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Nature Communications and NeuroImage.

In The Last Decade

Emily W. Avery

15 papers receiving 326 citations

Peers

Emily W. Avery
Meiyun Wang China
Tongpeng Chu China
Xiangzhu Zeng China
Simone Gazzellini Italy
Monroe P. Turner United States
Liuxian Wang China
Donna Y. Chen United States
Meiyun Wang China
Emily W. Avery
Citations per year, relative to Emily W. Avery Emily W. Avery (= 1×) peers Meiyun Wang

Countries citing papers authored by Emily W. Avery

Since Specialization
Citations

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

Fields of papers citing papers by Emily W. Avery

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Emily W. Avery. 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 Emily W. Avery. The network helps show where Emily W. Avery may publish in the future.

Co-authorship network of co-authors of Emily W. Avery

This figure shows the co-authorship network connecting the top 25 collaborators of Emily W. Avery. A scholar is included among the top collaborators of Emily W. Avery 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 Emily W. Avery. Emily W. Avery 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.
Zeevi, Tal, Emily W. Avery, Ajay Malhotra, et al.. (2024). Deep learning for prediction of post-thrombectomy outcomes based on admission CT angiography in large vessel occlusion stroke. Frontiers in Artificial Intelligence. 7. 1369702–1369702. 4 indexed citations
2.
Avery, Emily W., Stefan P. Haider, Tal Zeevi, et al.. (2024). Radiomics-Based Prediction of Collateral Status from CT Angiography of Patients Following a Large Vessel Occlusion Stroke. Diagnostics. 14(5). 485–485.
3.
Avery, Emily W., Kavita Joshi, Saral Mehra, & Amit Mahajan. (2023). Role of PET/CT in Oropharyngeal Cancers. Cancers. 15(9). 2651–2651. 6 indexed citations
4.
Avery, Emily W., Stefan P. Haider, Tal Zeevi, et al.. (2022). CT angiographic radiomics signature for risk stratification in anterior large vessel occlusion stroke. NeuroImage Clinical. 34. 103034–103034. 12 indexed citations
5.
Avery, Emily W., Stefan P. Haider, Tal Zeevi, et al.. (2022). Dataset on acute stroke risk stratification from CT angiographic radiomics. Data in Brief. 44. 108542–108542. 5 indexed citations
6.
Avery, Emily W., Pina C. Sanelli, Mariam Aboian, & Seyedmehdi Payabvash. (2022). Radiomics: A Primer on Processing Workflow and Analysis. Seminars in Ultrasound CT and MRI. 43(2). 142–146. 25 indexed citations
7.
Yoo, Kwangsun, Monica D. Rosenberg, Qi Lin, et al.. (2022). A brain-based general measure of attention. Nature Human Behaviour. 6(6). 782–795. 18 indexed citations
8.
Kardan, Omid, Andrew J. Stier, Carlos Cardenas‐Iniguez, et al.. (2022). Differences in the functional brain architecture of sustained attention and working memory in youth and adults. PLoS Biology. 20(12). e3001938–e3001938. 21 indexed citations
9.
Khunte, Mihir, Xiao Wu, Emily W. Avery, et al.. (2022). Impact of collateral flow on cost-effectiveness of endovascular thrombectomy. Journal of neurosurgery. 137(6). 1801–1810. 4 indexed citations
10.
Matouk, Charles, Emily W. Avery, Dietmar Frey, et al.. (2021). Similar admission NIHSS may represent larger tissue-at-risk in patients with right-sided versus left-sided large vessel occlusion. Journal of NeuroInterventional Surgery. 14(10). 985–991. 5 indexed citations
11.
Avery, Emily W., Monica D. Rosenberg, Abigail S. Greene, et al.. (2021). Using functional connectivity models to characterize relationships between working and episodic memory. Brain and Behavior. 11(8). e02105–e02105. 5 indexed citations
12.
Avery, Emily W., Stefan P. Haider, Tal Zeevi, et al.. (2021). Abstract P510: Ct Angiographic Radiomics Signature Predicts Functional Outcome Following Endovascular Thrombectomy in Large Vessel Occlusion Stroke. Stroke. 52(Suppl_1). 1 indexed citations
13.
Scheinost, Dustin, Emily W. Avery, Michelle Hampson, et al.. (2020). Connectome-based neurofeedback: A pilot study to improve sustained attention. NeuroImage. 212. 116684–116684. 27 indexed citations
14.
Rosenberg, Monica D., Dustin Scheinost, Abigail S. Greene, et al.. (2020). Functional connectivity predicts changes in attention observed across minutes, days, and months. Proceedings of the National Academy of Sciences. 117(7). 3797–3807. 103 indexed citations
15.
Hindy, Nicholas C., Emily W. Avery, & Nicholas B. Turk‐Browne. (2019). Hippocampal-neocortical interactions sharpen over time for predictive actions. Nature Communications. 10(1). 3989–3989. 18 indexed citations
16.
Avery, Emily W., Kwangsun Yoo, Monica D. Rosenberg, et al.. (2019). Distributed Patterns of Functional Connectivity Predict Working Memory Performance in Novel Healthy and Memory-impaired Individuals. Journal of Cognitive Neuroscience. 32(2). 241–255. 72 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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