Evan Minty

931 total citations
21 papers, 296 citations indexed

About

Evan Minty is a scholar working on Epidemiology, Molecular Biology and Health Information Management. According to data from OpenAlex, Evan Minty has authored 21 papers receiving a total of 296 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Epidemiology, 5 papers in Molecular Biology and 4 papers in Health Information Management. Recurrent topics in Evan Minty's work include Biomedical Text Mining and Ontologies (5 papers), Influenza Virus Research Studies (3 papers) and Diabetic Foot Ulcer Assessment and Management (3 papers). Evan Minty is often cited by papers focused on Biomedical Text Mining and Ontologies (5 papers), Influenza Virus Research Studies (3 papers) and Diabetic Foot Ulcer Assessment and Management (3 papers). Evan Minty collaborates with scholars based in Canada, United States and Australia. Evan Minty's co-authors include Timothy E. Sweeney, Vibhu Agarwal, Juan M. Banda, Veena Goel, Nigam H. Shah, Tiffany I. Leung, Tanya Podchiyska, Alex L. MacKay, Cornelia Laule and Thorarin A. Bjarnason and has published in prestigious journals such as Magnetic Resonance in Medicine, Sensors and Journal of the American Medical Informatics Association.

In The Last Decade

Evan Minty

19 papers receiving 290 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Evan Minty Canada 9 113 69 62 53 33 21 296
Georg Fette Germany 9 123 1.1× 81 1.2× 55 0.9× 41 0.8× 31 0.9× 42 328
Jiye An China 11 80 0.7× 54 0.8× 44 0.7× 69 1.3× 41 1.2× 30 423
Vinod C. Kaggal United States 10 127 1.1× 86 1.2× 56 0.9× 35 0.7× 27 0.8× 21 307
Christophe Gaudet-Blavignac Switzerland 8 102 0.9× 67 1.0× 37 0.6× 24 0.5× 31 0.9× 36 310
Swapna Abhyankar United States 9 107 0.9× 104 1.5× 60 1.0× 27 0.5× 43 1.3× 18 315
Tanya Podchiyska United States 7 169 1.5× 129 1.9× 106 1.7× 20 0.4× 30 0.9× 10 389
Mahdieh Montazeri Iran 7 106 0.9× 46 0.7× 48 0.8× 81 1.5× 21 0.6× 25 293
Sicheng Zhou United States 9 121 1.1× 74 1.1× 43 0.7× 47 0.9× 12 0.4× 41 328
Jionglin Wu China 6 160 1.4× 57 0.8× 121 2.0× 19 0.4× 56 1.7× 17 366

Countries citing papers authored by Evan Minty

Since Specialization
Citations

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

Fields of papers citing papers by Evan Minty

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Evan Minty

This figure shows the co-authorship network connecting the top 25 collaborators of Evan Minty. A scholar is included among the top collaborators of Evan Minty 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 Evan Minty. Evan Minty 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
2.
Minty, Evan, et al.. (2024). A Multi-Faceted Digital Health Solution for Monitoring and Managing Diabetic Foot Ulcer Risk: A Case Series. Sensors. 24(9). 2675–2675. 5 indexed citations
3.
James, Matthew T., Elijah Dixon, Indraneel Datta, et al.. (2024). Stepped-Wedge Trial of Decision Support for Acute Kidney Injury on Surgical Units. Kidney International Reports. 9(10). 2996–3005.
4.
Minty, Evan, Emily E. Bray, Karen Smith, et al.. (2023). Preventative Sensor-Based Remote Monitoring of the Diabetic Foot in Clinical Practice. Sensors. 23(15). 6712–6712. 10 indexed citations
5.
Schuemie, Martijn J., Fan Bu, Evan Minty, et al.. (2023). Serially Combining Epidemiological Designs Does Not Improve Overall Signal Detection in Vaccine Safety Surveillance. Drug Safety. 46(8). 797–807. 2 indexed citations
6.
Schuemie, Martijn J., Nicole Pratt, Fredrik Nyberg, et al.. (2022). Vaccine Safety Surveillance Using Routinely Collected Healthcare Data—An Empirical Evaluation of Epidemiological Designs. Frontiers in Pharmacology. 13. 893484–893484. 7 indexed citations
7.
Steinberg, Ethan, et al.. (2022). Predicting patients who are likely to develop Lupus Nephritis of those newly diagnosed with Systemic Lupus Erythematosus.. PubMed. 2022. 221–230. 3 indexed citations
8.
Li, Xintong, Lana Yin Hui Lai, Anna Ostropolets, et al.. (2021). Bias, Precision and Timeliness of Historical (Background) Rate Comparison Methods for Vaccine Safety Monitoring: An Empirical Multi-Database Analysis. Frontiers in Pharmacology. 12. 773875–773875. 9 indexed citations
9.
Woiceshyn, Jaana, et al.. (2021). We need to work differently in a crisis: peer-professional leadership to redesign physicians’ work. BMJ Leader. 6(2). 98–103. 4 indexed citations
11.
Bhatt, Meha, Anna Wolska, Evan Minty, et al.. (2020). Development and initial implementation of electronic clinical decision supports for recognition and management of hospital-acquired acute kidney injury. BMC Medical Informatics and Decision Making. 20(1). 287–287. 12 indexed citations
12.
Ostropolets, Anna, Christian Reich, Patrick Ryan, et al.. (2020). Characterizing database granularity using SNOMED-CT hierarchy.. PubMed. 2020. 983–992. 4 indexed citations
13.
Peng, Mingkai, Vijaya Sundararajan, Tyler Williamson, et al.. (2018). Data on coding association rules from an inpatient administrative health data coded by International classification of disease - 10th revision (ICD-10) codes. Data in Brief. 18. 710–712. 2 indexed citations
14.
Peng, Mingkai, Vijaya Sundararajan, Tyler Williamson, et al.. (2018). Exploration of association rule mining for coding consistency and completeness assessment in inpatient administrative health data. Journal of Biomedical Informatics. 79. 41–47. 17 indexed citations
15.
Fabreau, Gabriel E., Evan Minty, Danielle A. Southern, Hude Quan, & William A. Ghali. (2018). A Metadata Manifesto: The Need for Global Health Metadata. International Journal for Population Data Science. 3(1). 436–436. 4 indexed citations
16.
Minty, Evan, et al.. (2016). Visualization of the IMIA Yearbook of Medical Informatics Publications over the Last 25 Years. Yearbook of Medical Informatics. 25(S 01). S130–S138. 5 indexed citations
17.
Agarwal, Vibhu, Tanya Podchiyska, Juan M. Banda, et al.. (2016). Learning statistical models of phenotypes using noisy labeled training data. Journal of the American Medical Informatics Association. 23(6). 1166–1173. 96 indexed citations
18.
Yergens, Dean, et al.. (2014). Visualization of Publication Timelines using 4K Monitors.. AMIA. 1 indexed citations
19.
Fabreau, Gabriel E., Meghan J. Elliott, Evan Minty, et al.. (2013). Shifting perceptions: a pre-post study to assess the impact of a senior resident rotation bundle. BMC Medical Education. 13(1). 115–115. 10 indexed citations
20.
Minty, Evan, Thorarin A. Bjarnason, Cornelia Laule, & Alex L. MacKay. (2009). Myelin water measurement in the spinal cord. Magnetic Resonance in Medicine. 61(4). 883–892. 39 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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