Gabriel Rainisch

899 total citations
12 papers, 256 citations indexed

About

Gabriel Rainisch is a scholar working on Modeling and Simulation, Information Systems and Epidemiology. According to data from OpenAlex, Gabriel Rainisch has authored 12 papers receiving a total of 256 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Modeling and Simulation, 6 papers in Information Systems and 5 papers in Epidemiology. Recurrent topics in Gabriel Rainisch's work include COVID-19 epidemiological studies (9 papers), COVID-19 Digital Contact Tracing (6 papers) and Viral Infections and Outbreaks Research (3 papers). Gabriel Rainisch is often cited by papers focused on COVID-19 epidemiological studies (9 papers), COVID-19 Digital Contact Tracing (6 papers) and Viral Infections and Outbreaks Research (3 papers). Gabriel Rainisch collaborates with scholars based in United States, Israel and Canada. Gabriel Rainisch's co-authors include Martin I. Meltzer, Bishwa B. Adhikari, Gayle Langley, William A. Bower, Cristina Carias, Satish K. Pillai, David L. Swerdlow, Lisa M. Koonin, Alexandra M. Oster and Yoshinori Nakazawa and has published in prestigious journals such as SHILAP Revista de lepidopterología, Clinical Infectious Diseases and Scientific Reports.

In The Last Decade

Gabriel Rainisch

12 papers receiving 246 citations

Peers

Gabriel Rainisch
Comparison fields: 5 of 63
  • Epidemiology 123
  • Pulmonary and Respiratory Medicine 72
  • Modeling and Simulation 71
  • Infectious Diseases 67
  • Virology 56
Michael Ankcorn United Kingdom
Iván Mendoza Canada
Tsz Ho Kwan Hong Kong
Chen Jun-fang China
R. Ryan Lash United States
Lucille Blumberg South Africa
Eric R. A. Vos Netherlands
Salah H. Elsafi Saudi Arabia
Hanan Hasan Jordan
Lois O’Connor Ireland
Michael Ankcorn United Kingdom View profile →
Citations per field, relative to Gabriel Rainisch
Gabriel Rainisch · 1×
Citations per year, relative to Gabriel Rainisch
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Countries citing papers authored by Gabriel Rainisch

Since Specialization
Citations

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

Fields of papers citing papers by Gabriel Rainisch

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Gabriel Rainisch

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

All Works

12 of 12 papers shown
# Title Journal Authors Indexed citations
1 The public health impact of COVID-19 variants of concern on the effectiveness of contact tracing in Vermont, United States Scientific Reports Gabriel Rainisch, Patsy Kelso et al. 1
2 Adapting COVID-19 Contact Tracing Protocols to Accommodate Resource Constraints, Philadelphia, Pennsylvania, USA, 2021 Emerging infectious diseases Gabriel Rainisch, Leah S. Fischer et al. 3
3 Building a Simple Model to Assess the Impact of Case Investigation and Contact Tracing for Sexually Transmitted Diseases: Lessons From COVID-19 SHILAP Revista de lepidopterología Harrell W. Chesson, Gabriel Rainisch et al. 2
4 Estimated Cases Averted by COVID-19 Digital Exposure Notification, Pennsylvania, USA, November 8, 2020–January 2, 2021 Emerging infectious diseases Gabriel Rainisch, Patrick K. Moonan et al. 5
5 Modeling the Impact of Sexual Networks in the Transmission of Monkeypox virus Among Gay, Bisexual, and Other Men Who Have Sex with Men — United States, 2022 MMWR Morbidity and Mortality Weekly Report Ian H. Spicknall, P. A. Clay et al. 62
6 Estimated COVID-19 Cases and Hospitalizations Averted by Case Investigation and Contact Tracing in the US JAMA Network Open Gabriel Rainisch, Leah S. Fischer et al. 26
7 Estimates of Cases and Hospitalizations Averted by COVID-19 Case Investigation and Contact Tracing in 14 Health Jurisdictions in the United States Journal of Public Health Management and Practice Gabriel Rainisch, R. Ryan Lash et al. 16
8 Estimating the impact of multiple immunization products on medically-attended respiratory syncytial virus (RSV) infections in infants Vaccine Gabriel Rainisch, Bishwa B. Adhikari et al. 46
9 Modeling Tool for Decision Support during Early Days of an Anthrax Event Emerging infectious diseases Gabriel Rainisch, Martin I. Meltzer et al. 6
10 Modeling in Real Time During the Ebola Response PubMed Martin I. Meltzer, Scott Santibañez et al. 13
11 Potential Demand for Respirators and Surgical Masks During a Hypothetical Influenza Pandemic in the United States Clinical Infectious Diseases Cristina Carias, Gabriel Rainisch et al. 60
12 Regional Spread of Ebola Virus, West Africa, 2014 Emerging infectious diseases Gabriel Rainisch, Toby L. Merlin et al. 16

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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