Matthew Tyburski

435 total citations
9 papers, 325 citations indexed

About

Matthew Tyburski is a scholar working on Epidemiology, Experimental and Cognitive Psychology and General Health Professions. According to data from OpenAlex, Matthew Tyburski has authored 9 papers receiving a total of 325 indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Epidemiology, 4 papers in Experimental and Cognitive Psychology and 3 papers in General Health Professions. Recurrent topics in Matthew Tyburski's work include Digital Mental Health Interventions (3 papers), Substance Abuse Treatment and Outcomes (3 papers) and Mental Health Research Topics (3 papers). Matthew Tyburski is often cited by papers focused on Digital Mental Health Interventions (3 papers), Substance Abuse Treatment and Outcomes (3 papers) and Mental Health Research Topics (3 papers). Matthew Tyburski collaborates with scholars based in United States, United Kingdom and Israel. Matthew Tyburski's co-authors include Kenzie L. Preston, David H. Epstein, Karran A. Phillips, William J. Kowalczyk, C. Debra M. Furr‐Holden, M. Jobes, Mei‐Po Kwan, Jue Wang, Mustapha Mezghanni and Ian M. Craig and has published in prestigious journals such as Drug and Alcohol Dependence, Journal of the American Medical Informatics Association and AIDS and Behavior.

In The Last Decade

Matthew Tyburski

7 papers receiving 320 citations

Peers

Matthew Tyburski

ECP

TRANS

EPIDE

GHP

Dana L. Wolff‐Hughes United States

Michael Higgins United States

Ashley McCurdy Canada

Francesca Baralla Italy

Takashi Jindo Japan

Azliyana Azizan Malaysia

Tarik El Aarbaoui France

Brian French United States

Michelle Takemoto United States

Erin Ferguson United States

Dana L. Wolff‐Hughes United States

Matthew Tyburski

42 ×0.4

ECP

65 ×0.6

41 ×0.6

TRANS

19 ×0.3

EPIDE

125 ×2.6

GHP

Citations per year, relative to Matthew Tyburski Matthew Tyburski (= 1×) peers Dana L. Wolff‐Hughes

Countries citing papers authored by Matthew Tyburski

Since Specialization

Citations

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

Fields of papers citing papers by Matthew Tyburski

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Matthew Tyburski

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

All Works

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9 of 9 papers shown

Preston, Kenzie L., Jeremiah W. Bertz, Landhing M. Moran, et al.. (2024). Objective Neighborhood-Level Disorder Versus Subjective Safety as Predictors of HIV Transmission Risk and Momentary Well-Being. AIDS and Behavior. 28(10). 3326–3337.

Moran, Landhing M., Leigh V. Panlilio, Jeremiah W. Bertz, et al.. (2023). Health Outcomes by Neighborhood (HON): Effects of Neighborhood, Social Instability, and Health Factors on 12-Month Trajectories of Substance-Use Disorder Symptoms. Substance Use & Misuse. 58(12). 1460–1472.

Epstein, David H., Matthew Tyburski, William J. Kowalczyk, et al.. (2020). Prediction of stress and drug craving ninety minutes in the future with passively collected GPS data. npj Digital Medicine. 3(1). 26–26. 41 indexed citations

Goldenholz, Daniel M., Kaarkuzhali Babu Krishnamurthy, John Halamka, et al.. (2018). Using mobile location data in biomedical research while preserving privacy. Journal of the American Medical Informatics Association. 25(10). 1402–1406. 4 indexed citations

Kwan, Mei‐Po, Jue Wang, Matthew Tyburski, et al.. (2018). Uncertainties in the geographic context of health behaviors: a study of substance users’ exposure to psychosocial stress using GPS data. International Journal of Geographical Information Systems. 33(6). 1176–1195. 64 indexed citations

Sarker, Hillol, Matthew Tyburski, Md. Mahbubur Rahman, et al.. (2016). Finding Significant Stress Episodes in a Discontinuous Time Series of Rapidly Varying Mobile Sensor Data. PubMed. 2016. 4489–4501. 71 indexed citations

Kennedy, Ashley, David H. Epstein, M. Jobes, et al.. (2015). Continuous in-the-field measurement of heart rate: Correlates of drug use, craving, stress, and mood in polydrug users. Drug and Alcohol Dependence. 151. 159–166. 43 indexed citations

Preston, Kenzie L., Matthew Tyburski, Karran A. Phillips, et al.. (2014). Predicting mood and craving from real-time neighborhood surroundings. Drug and Alcohol Dependence. 146. e73–e73. 1 indexed citations

Epstein, David H., Matthew Tyburski, Ian M. Craig, et al.. (2013). Real-time tracking of neighborhood surroundings and mood in urban drug misusers: Application of a new method to study behavior in its geographical context. Drug and Alcohol Dependence. 134. 22–29. 101 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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