Michael M. Wagner

4.3k total citations
91 papers, 2.9k citations indexed

About

Michael M. Wagner is a scholar working on Epidemiology, Artificial Intelligence and Molecular Biology. According to data from OpenAlex, Michael M. Wagner has authored 91 papers receiving a total of 2.9k indexed citations (citations by other indexed papers that have themselves been cited), including 51 papers in Epidemiology, 29 papers in Artificial Intelligence and 25 papers in Molecular Biology. Recurrent topics in Michael M. Wagner's work include Data-Driven Disease Surveillance (49 papers), Influenza Virus Research Studies (21 papers) and Anomaly Detection Techniques and Applications (19 papers). Michael M. Wagner is often cited by papers focused on Data-Driven Disease Surveillance (49 papers), Influenza Virus Research Studies (21 papers) and Anomaly Detection Techniques and Applications (19 papers). Michael M. Wagner collaborates with scholars based in United States, Fiji and Ukraine. Michael M. Wagner's co-authors include William R. Hogan, Jeremy U. Espino, Gregory F. Cooper, Wendy W. Chapman, Virginia Dato, John Dowling, Weng‐Keen Wong, Andrew Moore, Fuchiang Tsui and Per H. Gesteland and has published in prestigious journals such as PLoS ONE, Emerging infectious diseases and Statistics in Medicine.

In The Last Decade

Michael M. Wagner

86 papers receiving 2.7k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Michael M. Wagner United States 31 1.6k 804 617 541 340 91 2.9k
William R. Hogan United States 31 823 0.5× 1.2k 1.5× 779 1.3× 556 1.0× 393 1.2× 149 3.8k
Shaun J. Grannis United States 27 927 0.6× 351 0.4× 185 0.3× 618 1.1× 413 1.2× 139 2.4k
Qingxia Chen United States 32 808 0.5× 319 0.4× 577 0.9× 338 0.6× 291 0.9× 157 3.7k
Mark G. Weiner United States 34 980 0.6× 269 0.3× 316 0.5× 370 0.7× 580 1.7× 145 4.4k
Genevieve B. Melton United States 39 589 0.4× 1.1k 1.4× 1.1k 1.7× 636 1.2× 500 1.5× 239 5.5k
Brian E. Dixon United States 26 642 0.4× 157 0.2× 173 0.3× 684 1.3× 346 1.0× 202 2.3k
Ben Y. Reis United States 31 1.3k 0.8× 418 0.5× 642 1.0× 145 0.3× 485 1.4× 71 5.9k
Patrick Ryan United States 49 936 0.6× 1.3k 1.7× 1.4k 2.3× 1.1k 2.0× 870 2.6× 217 8.7k
Puja Myles United Kingdom 27 945 0.6× 274 0.3× 128 0.2× 131 0.2× 247 0.7× 99 2.8k
Michael R. Kosorok United States 45 752 0.5× 733 0.9× 817 1.3× 56 0.1× 351 1.0× 240 8.4k

Countries citing papers authored by Michael M. Wagner

Since Specialization
Citations

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

Fields of papers citing papers by Michael M. Wagner

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Michael M. Wagner. 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 Michael M. Wagner. The network helps show where Michael M. Wagner may publish in the future.

Co-authorship network of co-authors of Michael M. Wagner

This figure shows the co-authorship network connecting the top 25 collaborators of Michael M. Wagner. A scholar is included among the top collaborators of Michael M. Wagner 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 Michael M. Wagner. Michael M. Wagner 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.
Aronis, John M., Michael M. Wagner, Fuchiang Tsui, et al.. (2017). A Bayesian system to detect and characterize overlapping outbreaks. Journal of Biomedical Informatics. 73. 171–181. 4 indexed citations
2.
Ferraro, Jeffrey P., Ye Ye, Per H. Gesteland, et al.. (2017). The effects of natural language processing on cross-institutional portability of influenza case detection for disease surveillance. Applied Clinical Informatics. 8(2). 560–580. 7 indexed citations
3.
Hogan, William R., Michael M. Wagner, Mathias Brochhausen, et al.. (2016). The Apollo Structured Vocabulary: an OWL2 ontology of phenomena in infectious disease epidemiology and population biology for use in epidemic simulation. Journal of Biomedical Semantics. 7(1). 50–50. 9 indexed citations
4.
Pineda, Arturo López, Ye Ye, Shyam Visweswaran, et al.. (2015). Comparison of machine learning classifiers for influenza detection from emergency department free-text reports. Journal of Biomedical Informatics. 58. 60–69. 66 indexed citations
5.
Brochhausen, Mathias, et al.. (2014). A novel representation of terms related to infectious disease epidemiology for epidemic modeling The Apollo Structured Vocabulary and pre-existing representations. 21–26.
6.
Wagner, Michael M., et al.. (2014). Troponin leak associated with drug-induced methemoglobinemia. The American Journal of Emergency Medicine. 32(10). 1295.e3–1295.e4. 3 indexed citations
7.
Cooper, Gregory F., et al.. (2014). A method for detecting and characterizing outbreaks of infectious disease from clinical reports. Journal of Biomedical Informatics. 53. 15–26. 19 indexed citations
8.
Lee, Bruce Y., Julie Tai-Schmiedel, Sarah M. McGlone, et al.. (2011). The potential economic value of a ‘universal’ (multi‐year) influenza vaccine. Influenza and Other Respiratory Viruses. 6(3). 167–175. 15 indexed citations
9.
Wong, Weng‐Keen, Andrew Moore, Gregory F. Cooper, & Michael M. Wagner. (2005). What's Strange About Recent Events (WSARE): An Algorithm for the Early Detection of Disease Outbreaks. Journal of Machine Learning Research. 6(66). 1961–1998. 31 indexed citations
10.
Chapman, Wendy W., John Dowling, & Michael M. Wagner. (2005). Generating a Reliable Reference Standard Set for Syndromic Case Classification. Journal of the American Medical Informatics Association. 12(6). 618–629. 25 indexed citations
11.
Cooper, Gregory F., Denver Dash, John Levander, et al.. (2004). Bayesian biosurveillance of disease outbreaks. arXiv (Cornell University). 94–103. 56 indexed citations
12.
Wong, Weng‐Keen, Andrew Moore, Gregory F. Cooper, & Michael M. Wagner. (2003). Bayesian network anomaly pattern detection for disease outbreaks. International Conference on Machine Learning. 808–815. 104 indexed citations
13.
Chapman, Wendy W., Gregory F. Cooper, Paul Hanbury, et al.. (2003). Creating a Text Classifier to Detect Radiology Reports Describing Mediastinal Findings Associated with Inhalational Anthrax and Other Disorders. Journal of the American Medical Informatics Association. 10(5). 494–503. 37 indexed citations
14.
Wagner, Michael M., et al.. (2003). Representative threats for research in public health surveillance. Journal of Biomedical Informatics. 36(3). 177–188. 13 indexed citations
15.
Gesteland, Per H., Michael M. Wagner, Wendy W. Chapman, et al.. (2002). Rapid deployment of an electronic disease surveillance system in the state of Utah for the 2002 Olympic Winter Games.. PubMed. 285–9. 28 indexed citations
16.
Hogan, William R., Michael M. Wagner, & Fuchiang Tsui. (2002). Experience with Message Format and Code Set Standards for Early Warning Public Health Surveillance Systems. Europe PMC (PubMed Central). 1044–1044. 1 indexed citations
17.
Wong, Weng‐Keen, Andrew Moore, Gregory F. Cooper, & Michael M. Wagner. (2002). Rule-based anomaly pattern detection for detecting disease outbreaks. National Conference on Artificial Intelligence. 217–223. 83 indexed citations
18.
Yasnoff, William A., J. Marc Overhage, Betsy L. Humphreys, et al.. (2001). A National Agenda for Public Health Informatics. Journal of Public Health Management and Practice. 7(6). 1–21. 29 indexed citations
19.
Wilbright, Wayne, et al.. (1999). Dissemination of New Medical Knowledge: Towards the Use of Electronic Communication Channels to Distribute ACP Journal Club Reviews. PubMed Central. 1195–1195. 1 indexed citations
20.
Wagner, Michael M., et al.. (1989). The Diagnostic Importance of the History and Physical Examination as Determined by the Use of a Medical Decision Support System. PubMed Central. 139–144. 7 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.

Explore authors with similar magnitude of impact

Rankless by CCL
2026