Jonathan Gryak

1.2k total citations
56 papers, 684 citations indexed

About

Jonathan Gryak is a scholar working on Cardiology and Cardiovascular Medicine, Biomedical Engineering and Radiology, Nuclear Medicine and Imaging. According to data from OpenAlex, Jonathan Gryak has authored 56 papers receiving a total of 684 indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Cardiology and Cardiovascular Medicine, 13 papers in Biomedical Engineering and 12 papers in Radiology, Nuclear Medicine and Imaging. Recurrent topics in Jonathan Gryak's work include ECG Monitoring and Analysis (10 papers), Traumatic Brain Injury and Neurovascular Disturbances (9 papers) and Heart Rate Variability and Autonomic Control (5 papers). Jonathan Gryak is often cited by papers focused on ECG Monitoring and Analysis (10 papers), Traumatic Brain Injury and Neurovascular Disturbances (9 papers) and Heart Rate Variability and Autonomic Control (5 papers). Jonathan Gryak collaborates with scholars based in United States, China and Brazil. Jonathan Gryak's co-authors include Kayvan Najarian, S. M. Reza Soroushmehr, Craig A. Williamson, Heming Yao, Harm Derksen, Michael W. Sjoding, Elyas Sabeti, Ryan W. Stidham, H. Jeffrey Wilkins and Shrinivas Bishu and has published in prestigious journals such as SHILAP Revista de lepidopterología, Gastroenterology and PLoS ONE.

In The Last Decade

Jonathan Gryak

56 papers receiving 667 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Jonathan Gryak United States 15 189 130 113 104 102 56 684
Hiroyuki Sugimori Japan 14 356 1.9× 147 1.1× 55 0.5× 74 0.7× 115 1.1× 93 767
Jonathan Frederik Carlsen Denmark 18 466 2.5× 216 1.7× 144 1.3× 82 0.8× 38 0.4× 53 912
Mark M. Zaki United States 9 79 0.4× 90 0.7× 69 0.6× 82 0.8× 68 0.7× 37 585
Sasank Chilamkurthy United States 4 268 1.4× 128 1.0× 184 1.6× 161 1.5× 21 0.2× 6 663
Yineng Zheng China 16 267 1.4× 125 1.0× 69 0.6× 59 0.6× 191 1.9× 58 837
Gert Weijers Netherlands 14 202 1.1× 145 1.1× 22 0.2× 155 1.5× 121 1.2× 48 711
Quinlan D. Buchlak Australia 16 270 1.4× 119 0.9× 123 1.1× 57 0.5× 69 0.7× 30 810
Swetha Tanamala United States 5 283 1.5× 118 0.9× 185 1.6× 159 1.5× 21 0.2× 8 662
Vidur Mahajan India 7 334 1.8× 138 1.1× 191 1.7× 160 1.5× 22 0.2× 18 799
Soichiro Miki Japan 14 323 1.7× 94 0.7× 152 1.3× 50 0.5× 28 0.3× 51 659

Countries citing papers authored by Jonathan Gryak

Since Specialization
Citations

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

Fields of papers citing papers by Jonathan Gryak

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jonathan Gryak

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

All Works

20 of 20 papers shown
1.
Cheng, Shuyang, et al.. (2024). Learning using privileged information with logistic regression on acute respiratory distress syndrome detection. Artificial Intelligence in Medicine. 156. 102947–102947. 1 indexed citations
2.
Cheng, Shuyang, Harm Derksen, Gilbert S. Omenn, et al.. (2024). Continuous sepsis trajectory prediction using tensor-reduced physiological signals. Scientific Reports. 14(1). 18155–18155. 3 indexed citations
3.
Gryak, Jonathan, et al.. (2024). Prediction of pediatric peanut oral food challenge outcomes using machine learning. SHILAP Revista de lepidopterología. 3(3). 100252–100252. 5 indexed citations
4.
Aaronson, Keith D., et al.. (2023). Predicting need for heart failure advanced therapies using an interpretable tropical geometry-based fuzzy neural network. PLoS ONE. 18(11). e0295016–e0295016. 2 indexed citations
5.
Gryak, Jonathan, et al.. (2023). Increasing efficiency of SVMp+ for handling missing values in healthcare prediction. SHILAP Revista de lepidopterología. 2(6). e0000281–e0000281. 3 indexed citations
6.
Yao, Heming, Jessica R. Golbus, Jonathan Gryak, et al.. (2022). Identifying potential candidates for advanced heart failure therapies using an interpretable machine learning algorithm. The Journal of Heart and Lung Transplantation. 41(12). 1781–1789. 6 indexed citations
7.
Mathis, Michael R., Milo Engoren, Aaron M. Williams, et al.. (2022). Prediction of Postoperative Deterioration in Cardiac Surgery Patients Using Electronic Health Record and Physiologic Waveform Data. Anesthesiology. 137(5). 586–601. 14 indexed citations
8.
Yao, Heming, Harm Derksen, Jessica R. Golbus, et al.. (2022). A Novel Tropical Geometry-Based Interpretable Machine Learning Method: Pilot Application to Delivery of Advanced Heart Failure Therapies. IEEE Journal of Biomedical and Health Informatics. 27(1). 239–250. 8 indexed citations
9.
Stein, Erica B., et al.. (2022). A deep learning framework for automated detection and quantitative assessment of liver trauma. BMC Medical Imaging. 22(1). 39–39. 14 indexed citations
10.
Liu, Gang, Ben E. Biesterveld, Glenn K. Wakam, et al.. (2022). Prediction of postoperative cardiac events in multiple surgical cohorts using a multimodal and integrative decision support system. Scientific Reports. 12(1). 11347–11347. 10 indexed citations
11.
Dumont, Maxime, Lucía Cevidanes, S. M. Reza Soroushmehr, et al.. (2021). Web infrastructure for data management, storage and computation. PubMed. 11600. 4 indexed citations
12.
13.
Li, Zhi, Kevin M. Wheelock, Hakan Oral, et al.. (2021). Predicting atrial fibrillation episodes with rapid ventricular rates associated with low levels of activity. BMC Medical Informatics and Decision Making. 21(1). 364–364. 2 indexed citations
14.
Tokcan, Neriman, Harm Derksen, Ben E. Biesterveld, et al.. (2021). Multimodal tensor-based method for integrative and continuous patient monitoring during postoperative cardiac care. Artificial Intelligence in Medicine. 113. 102032–102032. 15 indexed citations
15.
Sjoding, Michael W., et al.. (2021). Automated detection of acute respiratory distress syndrome from chest X-Rays using Directionality Measure and deep learning features. Computers in Biology and Medicine. 134. 104463–104463. 17 indexed citations
16.
Gryak, Jonathan, et al.. (2020). Utilization of smartphone and tablet camera photographs to predict healing of diabetes-related foot ulcers. Computers in Biology and Medicine. 126. 104042–104042. 26 indexed citations
17.
Sjoding, Michael W., Harm Derksen, Elyas Sabeti, et al.. (2020). Robust segmentation of lung in chest x-ray: applications in analysis of acute respiratory distress syndrome. BMC Medical Imaging. 20(1). 116–116. 30 indexed citations
18.
Yao, Heming, Craig A. Williamson, Jonathan Gryak, & Kayvan Najarian. (2020). Automated hematoma segmentation and outcome prediction for patients with traumatic brain injury. Artificial Intelligence in Medicine. 107. 101910–101910. 33 indexed citations
19.
Jiang, Cheng, Jie Cao, Craig A. Williamson, et al.. (2019). Midline Shift vs. Mid-Surface Shift: Correlation with Outcome of Traumatic Brain Injuries. PubMed. 2019. 1083–1086. 3 indexed citations
20.
Soroushmehr, S. M. Reza, et al.. (2018). Fully Automated Spleen Localization And Segmentation Using Machine Learning And 3D Active Contours. PubMed. 2018. 53–56. 6 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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