Jack Homer

4.1k total citations · 1 hit paper
63 papers, 2.7k citations indexed

About

Jack Homer is a scholar working on Management Science and Operations Research, General Health Professions and Economics and Econometrics. According to data from OpenAlex, Jack Homer has authored 63 papers receiving a total of 2.7k indexed citations (citations by other indexed papers that have themselves been cited), including 25 papers in Management Science and Operations Research, 22 papers in General Health Professions and 20 papers in Economics and Econometrics. Recurrent topics in Jack Homer's work include Complex Systems and Decision Making (20 papers), Health Policy Implementation Science (14 papers) and Health Systems, Economic Evaluations, Quality of Life (11 papers). Jack Homer is often cited by papers focused on Complex Systems and Decision Making (20 papers), Health Policy Implementation Science (14 papers) and Health Systems, Economic Evaluations, Quality of Life (11 papers). Jack Homer collaborates with scholars based in United States, United Kingdom and Uganda. Jack Homer's co-authors include Gary Hirsch, Bobby Milstein, John E. Riski, E W Massey, Rogelio Oliva, Andrew Jones, Diane Orenstein, Justin G. Trogdon, Brenda Roche and Wayne Wakeland and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Circulation and Neurology.

In The Last Decade

Jack Homer

60 papers receiving 2.5k citations

Hit Papers

System Dynamics Modeling for Public Health: Background an... 2006 2026 2012 2019 2006 200 400 600

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Jack Homer United States 26 812 754 550 333 266 63 2.7k
Andrea Rotnitzky United States 39 381 0.5× 405 0.5× 1.4k 2.5× 368 1.1× 305 1.1× 79 9.3k
Sowmya R. Rao United States 24 1.0k 1.3× 277 0.4× 336 0.6× 679 2.0× 396 1.5× 44 4.5k
David M. Zucker Israel 31 316 0.4× 178 0.2× 433 0.8× 299 0.9× 282 1.1× 92 3.9k
Nir Menachemi United States 40 2.5k 3.1× 403 0.5× 1.1k 2.0× 1.1k 3.3× 364 1.4× 259 6.6k
Gill Westhorp Australia 18 2.0k 2.4× 314 0.4× 423 0.8× 709 2.1× 218 0.8× 28 3.6k
Peter S. Hovmand United States 25 3.9k 4.8× 763 1.0× 560 1.0× 1.1k 3.3× 443 1.7× 72 6.5k
Paul E. Plsek United States 21 1.6k 2.0× 298 0.4× 582 1.1× 635 1.9× 294 1.1× 49 3.9k
Ginny Brunton United Kingdom 30 1.5k 1.9× 166 0.2× 220 0.4× 779 2.3× 229 0.9× 80 3.8k
Bobby Milstein United States 18 1.1k 1.3× 286 0.4× 280 0.5× 325 1.0× 226 0.8× 33 2.5k
Allan Best Canada 24 1.5k 1.9× 305 0.4× 368 0.7× 418 1.3× 150 0.6× 52 2.7k

Countries citing papers authored by Jack Homer

Since Specialization
Citations

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

Fields of papers citing papers by Jack Homer

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jack Homer

This figure shows the co-authorship network connecting the top 25 collaborators of Jack Homer. A scholar is included among the top collaborators of Jack Homer 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 Jack Homer. Jack Homer 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.
Hammond, Ross A., et al.. (2023). Complex Adaptive Systems Simulation Modeling to Address Cardiovascular Disparities: Complex Science for a Complex Problem. Circulation. 148(3). 201–203. 1 indexed citations
2.
Homer, Jack, et al.. (2023). As simple as possible but not simpler: structural sensitivity testing of a dynamic model of adolescent overweight and obesity. System Dynamics Review. 39(2). 125–139. 4 indexed citations
3.
Milstein, Bobby, et al.. (2022). How Can a Community Pursue Equitable Health and Well-Being after a Severe Shock? Ideas from an Exploratory Simulation Model. Systems. 10(5). 158–158. 2 indexed citations
4.
Lim, Tse Yang, Erin J. Stringfellow, Catherine DiGennaro, et al.. (2022). Modeling the evolution of the US opioid crisis for national policy development. Proceedings of the National Academy of Sciences. 119(23). e2115714119–e2115714119. 47 indexed citations
6.
Stringfellow, Erin J., Tse Yang Lim, Keith Humphreys, et al.. (2022). Reducing opioid use disorder and overdose deaths in the United States: A dynamic modeling analysis. Science Advances. 8(25). eabm8147–eabm8147. 38 indexed citations
7.
Milstein, Bobby, et al.. (2016). NASPAA Student Simulation Competition: Reforming the U.S. Health Care System Within a Simulated Environment. Journal of Public Affairs Education. 22(3). 363–380. 10 indexed citations
8.
Homer, Jack, Bobby Milstein, Gary Hirsch, & Elliott S. Fisher. (2016). Combined Regional Investments Could Substantially Enhance Health System Performance And Be Financially Affordable. Health Affairs. 35(8). 1435–1443. 22 indexed citations
9.
Homer, Jack, Benjamin Yarnoff, Justin G. Trogdon, et al.. (2014). Using Simulation to Compare Established and Emerging Interventions to Reduce Cardiovascular Disease Risk in the United States. Preventing Chronic Disease. 11. E195–E195. 27 indexed citations
10.
Homer, Jack. (2012). Partial‐model testing as a validation tool for system dynamics (1983). System Dynamics Review. 28(3). 281–294. 57 indexed citations
11.
Kenealy, Timothy, et al.. (2012). A ‘whole of system’ approach to compare options for CVD interventions in Counties Manukau. Australian and New Zealand Journal of Public Health. 36(3). 263–268. 15 indexed citations
12.
Roche, Brenda, et al.. (2012). Modelling the social determinants of health and simulating short-term and long-term intervention impacts for the city of Toronto, Canada. Social Science & Medicine. 93. 247–255. 53 indexed citations
13.
Milstein, Bobby, Jack Homer, Peter A. Briss, Deron C. Burton, & Terry F. Pechacek. (2011). Why Behavioral And Environmental Interventions Are Needed To Improve Health At Lower Cost. Health Affairs. 30(5). 823–832. 65 indexed citations
14.
Homer, Jack, Bobby Milstein, Darwin R. Labarthe, et al.. (2010). Peer Reviewed: Simulating and Evaluating Local Interventions to Improve Cardiovascular Health. Preventing Chronic Disease. 7(1). 2 indexed citations
15.
Homer, Jack, Bobby Milstein, Justin G. Trogdon, et al.. (2010). Simulating and evaluating local interventions to improve cardiovascular health.. PubMed. 7(1). A18–A18. 51 indexed citations
16.
Milstein, Bobby, Jack Homer, & Gary Hirsch. (2010). Analyzing National Health Reform Strategies With a Dynamic Simulation Model. American Journal of Public Health. 100(5). 811–819. 86 indexed citations
17.
Milstein, Bobby, et al.. (2007). Peer Reviewed: Charting Plausible Futures for Diabetes Prevalence in the United States: A Role for System Dynamics Simulation Modeling. Preventing Chronic Disease. 4(3). 3 indexed citations
18.
Homer, Jack, et al.. (2005). Systems modeling in support of evidence-based disaster planning for rural areas. International Journal of Hygiene and Environmental Health. 208(1-2). 117–125. 70 indexed citations
19.
Homer, Jack, et al.. (2004). Models for collaboration: how system dynamics helped a community organize cost‐effective care for chronic illness. System Dynamics Review. 20(3). 199–222. 97 indexed citations
20.
Homer, Jack. (1985). Worker burnout: A dynamic model with implications for prevention and control. System Dynamics Review. 1(1). 42–62. 51 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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