Jason Walonoski

980 total citations
9 papers, 436 citations indexed

About

Jason Walonoski is a scholar working on Artificial Intelligence, Health Information Management and Computer Science Applications. According to data from OpenAlex, Jason Walonoski has authored 9 papers receiving a total of 436 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Artificial Intelligence, 3 papers in Health Information Management and 3 papers in Computer Science Applications. Recurrent topics in Jason Walonoski's work include Intelligent Tutoring Systems and Adaptive Learning (4 papers), Online Learning and Analytics (2 papers) and Machine Learning in Healthcare (2 papers). Jason Walonoski is often cited by papers focused on Intelligent Tutoring Systems and Adaptive Learning (4 papers), Online Learning and Analytics (2 papers) and Machine Learning in Healthcare (2 papers). Jason Walonoski collaborates with scholars based in United States, New Zealand and Australia. Jason Walonoski's co-authors include Neil T. Heffernan, Ryan S. Baker, Kenneth R. Koedinger, Ido Roll, Albert T. Corbett, Dylan Hall, Scott McLachlan, Kudakwashe Dube, Thomas Gallagher and M Krámer and has published in prestigious journals such as Journal of the American Medical Informatics Association, Electronics and JMIR Medical Informatics.

In The Last Decade

Jason Walonoski

8 papers receiving 398 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Jason Walonoski United States 7 273 118 107 64 42 9 436
Olga Medvedeva United States 11 258 0.9× 54 0.5× 31 0.3× 21 0.3× 20 0.5× 18 425
Elizabeth Legowski United States 11 202 0.7× 66 0.6× 30 0.3× 23 0.4× 29 0.7× 14 408
Michael Cabanillas-Carbonell Peru 10 91 0.3× 29 0.2× 48 0.4× 52 0.8× 30 0.7× 88 393
Maria Chiara Pettenati Italy 9 79 0.3× 33 0.3× 40 0.4× 88 1.4× 69 1.6× 47 329
Sokratis Nifakos Sweden 8 62 0.2× 11 0.1× 44 0.4× 42 0.7× 58 1.4× 17 400
Syed Latifi Canada 5 136 0.5× 33 0.3× 38 0.4× 16 0.3× 27 0.6× 8 422
Sí­lvio César Cazella Brazil 8 62 0.2× 18 0.2× 60 0.6× 17 0.3× 48 1.1× 83 325
Mike Schaekermann United States 13 145 0.5× 13 0.1× 51 0.5× 20 0.3× 4 0.1× 24 409
Thair Hamtini Jordan 8 204 0.7× 46 0.4× 278 2.6× 64 1.0× 70 1.7× 17 459
Syed Muhammad Raza Abidi China 6 179 0.7× 31 0.3× 329 3.1× 53 0.8× 118 2.8× 8 479

Countries citing papers authored by Jason Walonoski

Since Specialization
Citations

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

Fields of papers citing papers by Jason Walonoski

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jason Walonoski

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

All Works

9 of 9 papers shown
1.
Walonoski, Jason, Dylan Hall, Michele Farris, et al.. (2022). The “Coherent Data Set”: Combining Patient Data and Imaging in a Comprehensive, Synthetic Health Record. Electronics. 11(8). 1199–1199. 6 indexed citations
2.
Walonoski, Jason, et al.. (2020). Synthea™ Novel coronavirus (COVID-19) model and synthetic data set. Intelligence-Based Medicine. 1-2. 100007–100007. 17 indexed citations
3.
Walonoski, Jason, et al.. (2018). Validation and Testing of Fast Healthcare Interoperability Resources Standards Compliance: Data Analysis. JMIR Medical Informatics. 6(4). e10870–e10870. 10 indexed citations
4.
McLachlan, Scott, et al.. (2018). The ATEN Framework for Creating the Realistic Synthetic Electronic Health Record. Queen Mary Research Online (Queen Mary University of London). 5 indexed citations
5.
Walonoski, Jason, M Krámer, Joseph C. Nichols, et al.. (2017). Synthea: An approach, method, and software mechanism for generating synthetic patients and the synthetic electronic health care record. Journal of the American Medical Informatics Association. 25(3). 230–238. 213 indexed citations
6.
Baker, Ryan S., Jason Walonoski, Neil T. Heffernan, et al.. (2008). Why Students Engage in “Gaming the System” Behavior in Interactive Learning Environments. The Journal of Interactive Learning Research. 19(2). 185–224. 165 indexed citations
7.
Walonoski, Jason. (2006). Visual Feedback for Gaming Prevention in Intelligent Tutoring Systems. Digital WPI.
8.
Razzaq, Leena, Mingyu Feng, Neil T. Heffernan, et al.. (2005). Blending Assessment and Instructional Assisting. 555–562. 8 indexed citations
9.
Walonoski, Jason, et al.. (2005). The eXtensible Tutor Architecture: A New Foundation for ITS. 902–904. 12 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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