Gideon Meyerowitz‐Katz

3.7k citations
40 papers · 1.7k · 3 hit papers · h-index 14

Impact in

Papers in

Gideon Meyerowitz‐Katz

35 papers receiving 1.6k citations

Gideon Meyerowitz‐Katz's Hit Papers

Assessing the age specificity of infection fatality rates for COVID-19: systematic review, meta-analysis, and public policy implications 2020 · 503 citations
5030+2+4Years since publication100200300400500

Peers

Gideon Meyerowitz‐Katz
Comparison fields: 5 of 129
  • Modeling and Simulation 399
  • Infectious Diseases 415
  • Health 151
  • Applied Psychology 81
  • General Health Professions 213
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Countries citing papers authored by Gideon Meyerowitz‐Katz

Since Specialization
Citations

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

Fields of papers citing papers by Gideon Meyerowitz‐Katz

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Gideon Meyerowitz‐Katz. 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 Gideon Meyerowitz‐Katz. The network helps show where Gideon Meyerowitz‐Katz may publish in the future.

Co-authors

The 25 scholars most cited alongside Gideon Meyerowitz‐Katz, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Gideon Meyerowitz‐Katz Line = papers co-authored together Gideon Meyerowitz‐Katz links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 40 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Assessing the age specificity of infection fatality rates for COVID-19: systematic review, meta-analysis, and public policy implications
Hit paper breakdown →
2020503
2
Rates of Attrition and Dropout in App-Based Interventions for Chronic Disease: Systematic Review and Meta-Analysis
Hit paper breakdown →
2020314
3
A systematic review and meta-analysis of published research data on COVID-19 infection fatality rates
Hit paper breakdown →
2020267
4 2020161
5 2022116
6 202058
7 202155
8 202225
9 202123
10 202020
11 201815
12 202215
13 202214
14 202213
15 201910
16 20199
17 20237
18 20207
19 20186
20 20236

About Gideon Meyerowitz‐Katz

Gideon Meyerowitz‐Katz is a scholar working on Infectious Diseases, Modeling and Simulation, General Health Professions, Oncology and Public Health, Environmental and Occupational Health, having authored 40 papers that have together received 1.7k indexed citations. Recurring topics across this work include COVID-19 epidemiological studies (7 papers), SARS-CoV-2 and COVID-19 Research (6 papers), COVID-19 and healthcare impacts (4 papers), SARS-CoV-2 detection and testing (3 papers), COVID-19 Clinical Research Studies (3 papers), Chronic Disease Management Strategies (3 papers), Mobile Health and mHealth Applications (2 papers) and Diabetes Management and Education (2 papers). The work is most often cited by research in Modeling and Simulation (399 citations), Infectious Diseases (415 citations), Health (151 citations), Applied Psychology (81 citations) and General Health Professions (213 citations). Gideon Meyerowitz‐Katz has collaborated with scholars based in Australia, United States and United Kingdom. Frequent co-authors include Lea Merone, Nana Owusu‐Boaitey, Andrew Levin, Seamus P. Walsh, William P. Hanage, Glen Maberly, Thomas Astell‐Burt, Xiaoqi Feng, Sumathy Ravi and Leonard Arnolda. Their work appears in journals such as BMC Health Services Research, Journal of Medical Internet Research, International Journal of Integrated Care, BMJ Global Health and European Journal of Epidemiology.

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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