Max W. Jacobs

1.5k citations
2 papers · 198 · 1 hit paper · h-index 2

Impact in

    • COVID-19 epidemiological studies
    • Influenza Virus Research Studies
    • Respiratory viral infections research
    • Data-Driven Disease Surveillance

Papers in

Max W. Jacobs

2 papers receiving 194 citations

Max W. Jacobs's Hit Papers

Pandemic influenza A(H1N1)v in New Zealand: the experience from April to August 2009 2009 · 170 citations
1700+5+11Years since publication50100150

Peers

Max W. Jacobs
Comparison fields: 5 of 38
  • Modeling and Simulation 76
  • Epidemiology 170
  • Infectious Diseases 58
  • Health 11
  • Agronomy and Crop Science 11
Replace Yuuki Tsuchihashi with:
Yuuki Tsuchihashi Japan
Meghan L. Harris United States
José María Mayoral Spain
Saumil Doshi United States
Hervé Kadjo Ivory Coast
Gerry Lofthus United States
Salvador de Mateo Ontañón Spain
Rita Born Switzerland
Ndahwouh Talla Nzussouo United States
Alaina Stoute United States
Max W. Jacobs relative to Yuuki Tsuchihashi Japan Yuuki Tsuchihashi's profile →
Citations per field
00.5×1.7×
Yuuki Tsuchihashi · 1×
Citations per year

Countries citing papers authored by Max W. Jacobs

Since Specialization
Citations

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

Fields of papers citing papers by Max W. Jacobs

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Max W. Jacobs. 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 Max W. Jacobs. The network helps show where Max W. Jacobs may publish in the future.

Co-authors

The 13 scholars most cited alongside Max W. Jacobs, 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 Max W. Jacobs Line = papers co-authored together Max W. Jacobs links everyone, so they are left out of the graph.

All Works

2 of 2 papers shown
#Work
1
Pandemic influenza A(H1N1)v in New Zealand: the experience from April to August 2009
Hit paper breakdown →
2009170
2 201128

About Max W. Jacobs

Max W. Jacobs is a scholar working on Political Science and International Relations, Epidemiology, Law, Modeling and Simulation and Infectious Diseases, having authored 2 papers that have together received 198 indexed citations. Recurring topics across this work include Criminal Law and Evidence (1 paper), Influenza Virus Research Studies (1 paper), COVID-19 epidemiological studies (1 paper), Respiratory viral infections research (1 paper) and European and International Law Studies (1 paper). The work is most often cited by research in Modeling and Simulation (76 citations), Epidemiology (170 citations), Infectious Diseases (58 citations), Health (11 citations) and Agronomy and Crop Science (11 citations). Max W. Jacobs has collaborated with scholars based in New Zealand. Frequent co-authors include Q. Sue Huang, Liza Lopez, Don Bandaranayake, Michael G. Baker, Graham Mackereth, Nick Wilson, M Tobias, Colin McArthur, Craig Thornley and Sally Roberts. Their work appears in journals such as Eurosurveillance.

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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