Ryan A. Rava

478 total citations
27 papers, 344 citations indexed

About

Ryan A. Rava is a scholar working on Epidemiology, Pulmonary and Respiratory Medicine and Neurology. According to data from OpenAlex, Ryan A. Rava has authored 27 papers receiving a total of 344 indexed citations (citations by other indexed papers that have themselves been cited), including 18 papers in Epidemiology, 17 papers in Pulmonary and Respiratory Medicine and 12 papers in Neurology. Recurrent topics in Ryan A. Rava's work include Acute Ischemic Stroke Management (17 papers), Cerebrovascular and Carotid Artery Diseases (17 papers) and Intracranial Aneurysms: Treatment and Complications (7 papers). Ryan A. Rava is often cited by papers focused on Acute Ischemic Stroke Management (17 papers), Cerebrovascular and Carotid Artery Diseases (17 papers) and Intracranial Aneurysms: Treatment and Complications (7 papers). Ryan A. Rava collaborates with scholars based in United States, Sweden and Japan. Ryan A. Rava's co-authors include Ciprian N. Ionita, Adnan H. Siddiqui, Jason M. Davies, Kenneth V. Snyder, Elad I. Levy, Muhammad Waqas, Alexander R. Podgorsak, Mohammad Mahdi Shiraz Bhurwani, Maxim Mokin and Yiemeng Hoi and has published in prestigious journals such as SHILAP Revista de lepidopterología, American Journal of Neuroradiology and Neuroradiology.

In The Last Decade

Ryan A. Rava

26 papers receiving 343 citations

Peers

Ryan A. Rava

EPIDE

PRM

NEURO

RNMI

Mohammad Mahdi Shiraz Bhurwani United States

Alexander R. Podgorsak United States

Achala Vagal United States

Charlotte S. Weyland Germany

Sebastian Mönch Germany

Manon L. Tolhuisen Netherlands

Renan Sales Barros Netherlands

Friederike Austein Germany

Zarina Assis Canada

Mohammad Mahdi Shiraz Bhurwani United States

Ryan A. Rava

164 ×0.7

EPIDE

168 ×1.0

PRM

160 ×1.0

NEURO

80 ×0.9

RNMI

60 ×1.2

Citations per year, relative to Ryan A. Rava Ryan A. Rava (= 1×) peers Mohammad Mahdi Shiraz Bhurwani

Countries citing papers authored by Ryan A. Rava

Since Specialization

Citations

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

Fields of papers citing papers by Ryan A. Rava

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Ryan A. Rava. 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 Ryan A. Rava. The network helps show where Ryan A. Rava may publish in the future.

Co-authorship network of co-authors of Ryan A. Rava

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

All Works

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20 of 20 papers shown

Bhurwani, Mohammad Mahdi Shiraz, Ryan A. Rava, Muhammad Waqas, et al.. (2023). Identification of infarct core and ischemic penumbra using computed tomography perfusion and deep learning. Journal of Medical Imaging. 10(1). 14001–14001. 6 indexed citations

Rava, Ryan A., Ammad A. Baig, Kurt S. Schultz, et al.. (2022). Predicting hematoma expansion after spontaneous intracranial hemorrhage through a radiomics based model. PubMed. 12033. 130–130. 4 indexed citations

Rava, Ryan A., Mohammad Mahdi Shiraz Bhurwani, André Monteiro, et al.. (2022). Initial investigation of predicting hematoma expansion for intracerebral hemorrhage using imaging biomarkers and machine learning. PubMed. 12036. 13–13.

Rava, Ryan A., Kenneth V. Snyder, Maxim Mokin, et al.. (2021). Assessment of an Artificial Intelligence Algorithm for Detection of Intracranial Hemorrhage. World Neurosurgery. 150. e209–e217. 44 indexed citations

Williams, Kyle, et al.. (2021). The Aneurysm Occlusion Assistant, an AI platform for real time surgical guidance of intracranial aneurysms. PubMed. 11601. 31–31. 8 indexed citations

Bhurwani, Mohammad Mahdi Shiraz, Kenneth V. Snyder, Muhammad Waqas, et al.. (2021). Use of biplane quantitative angiographic imaging with ensemble neural networks to assess reperfusion status during mechanical thrombectomy. PubMed. 11597. 48–48. 4 indexed citations

Rava, Ryan A., Kenneth V. Snyder, Muhammad Waqas, et al.. (2021). Automated Collateral Flow Assessment in Patients with Acute Ischemic Stroke Using Computed Tomography with Artificial Intelligence Algorithms. World Neurosurgery. 155. e748–e760. 16 indexed citations

Rava, Ryan A., Alexander R. Podgorsak, Muhammad Waqas, et al.. (2021). Use of a convolutional neural network to identify infarct core using computed tomography perfusion parameters. PubMed. 11596. 30–30. 7 indexed citations

Bhurwani, Mohammad Mahdi Shiraz, Kenneth V. Snyder, Muhammad Waqas, et al.. (2021). Use of quantitative angiographic methods with a data-driven model to evaluate reperfusion status (mTICI) during thrombectomy. Neuroradiology. 63(9). 1429–1439. 12 indexed citations

10.

Rava, Ryan A., Alexander R. Podgorsak, Muhammad Waqas, et al.. (2021). Investigation of convolutional neural networks using multiple computed tomography perfusion maps to identify infarct core in acute ischemic stroke patients. Journal of Medical Imaging. 8(1). 14505–14505. 7 indexed citations

11.

Rava, Ryan A., Kenneth V. Snyder, Maxim Mokin, et al.. (2020). Assessment of a Bayesian Vitrea CT Perfusion Analysis to Predict Final Infarct and Penumbra Volumes in Patients with Acute Ischemic Stroke: A Comparison with RAPID. American Journal of Neuroradiology. 41(2). 206–212. 42 indexed citations

12.

Rava, Ryan A., Kenneth V. Snyder, Maxim Mokin, et al.. (2020). Assessment of computed tomography perfusion software in predicting spatial location and volume of infarct in acute ischemic stroke patients: a comparison of Sphere, Vitrea, and RAPID. Journal of NeuroInterventional Surgery. 13(2). 130–135. 45 indexed citations

13.

Iyer, Vijay, et al.. (2020). Method to simulate distal flow resistance in coronary arteries in 3D printed patient specific coronary models. SHILAP Revista de lepidopterología. 6(1). 19–19. 16 indexed citations

14.

Bhurwani, Mohammad Mahdi Shiraz, Kyle Williams, Ryan A. Rava, et al.. (2020). Predicting treatment outcome of intracranial aneurysms using angiographic parametric imaging and recurrent neural networks. 93–93. 3 indexed citations

15.

Rava, Ryan A., Kenneth V. Snyder, Maxim Mokin, et al.. (2020). Effect of computed tomography perfusion post-processing algorithms on optimal threshold selection for final infarct volume prediction. The Neuroradiology Journal. 33(4). 273–285. 11 indexed citations

16.

Rava, Ryan A., Maxim Mokin, Kenneth V. Snyder, et al.. (2020). Performance of angiographic parametric imaging in locating infarct core in large vessel occlusion acute ischemic stroke patients. Journal of Medical Imaging. 7(1). 1–1. 16 indexed citations

17.

Bhurwani, Mohammad Mahdi Shiraz, et al.. (2020). Use of 3D printed intracranial aneurysm phantoms to test the effect of flow diverters geometry on hemodynamics. 2–2. 3 indexed citations

18.

Podgorsak, Alexander R., Mohammad Mahdi Shiraz Bhurwani, Ryan A. Rava, Jason M. Davies, & Ciprian N. Ionita. (2020). Optimization of DSA image data input to a machine learning aneurysm identifier. 85–85. 1 indexed citations

19.

Podgorsak, Alexander R., Ryan A. Rava, Mohammad Mahdi Shiraz Bhurwani, et al.. (2019). Automatic radiomic feature extraction using deep learning for angiographic parametric imaging of intracranial aneurysms. Journal of NeuroInterventional Surgery. 12(4). 417–421. 43 indexed citations

20.

Rava, Ryan A., et al.. (2019). Controlled compliancy of 3D printed vascular patient specific phantoms. 9038. 11–11. 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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