Brian Lambert

20 papers receiving 485 citations

Hit Papers

Progress Toward Measles Elimination — Worldwide, 2000–2022 2023 · 127 citations
12720232026202420254080120

Peers

Brian Lambert
Comparison fields: 5 of 100
  • Health 206
  • Modeling and Simulation 69
  • Epidemiology 265
  • Immunology 116
  • Infectious Diseases 95
Replace Jean‐Luc Richard with:
Jean‐Luc Richard Switzerland
Eleonora Agricola Italy
Linda C. Lambert United States
Jessie Clippard United States
Hannah Brindle United Kingdom
Michael Fitzpatrick United Kingdom
K. M. Law Hong Kong
Gillian L. Genrich United States
Volker Stollorz Germany
Brian Lambert relative to Jean‐Luc Richard Switzerland Jean‐Luc Richard's profile →
Citations per field
00.5×10×13.9×
Jean‐Luc Richard · 1×
Citations per year

Countries citing papers authored by Brian Lambert

Since Specialization
Citations

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

Fields of papers citing papers by Brian Lambert

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Brian Lambert, 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 Brian Lambert Line = papers co-authored together Brian Lambert links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1
Progress Toward Measles Elimination — Worldwide, 2000–2022
Hit paper breakdown →
2023127
2 202189
3 202260
4 201139
5 200836
6 202430
7 202223
8 201316
9 201013
10 201213
11 201110
12 200210
13 20119
14 20118
15 20147
16 20116
17 20226
18 20202
19 20211
20
The Effect of Water and Sanitation Privatization on Child Mortality Rates in Guayaquil, Ecuador
20191

About Brian Lambert

Brian Lambert is a scholar working on Modeling and Simulation, Health, Management of Technology and Innovation, Genetics and Ecological Modeling, having authored 20 papers that have together received 506 indexed citations. Recurring topics across this work include Vaccine Coverage and Hesitancy (5 papers), COVID-19 epidemiological studies (4 papers), Virology and Viral Diseases (4 papers), Race, Genetics, and Society (3 papers), Immune responses and vaccinations (3 papers), Customer Service Quality and Loyalty (2 papers), COVID-19 Digital Contact Tracing (2 papers) and Management and Marketing Education (2 papers). The work is most often cited by research in Health (206 citations), Modeling and Simulation (69 citations), Epidemiology (265 citations), Immunology (116 citations) and Infectious Diseases (95 citations). Brian Lambert has collaborated with scholars based in United States, Switzerland and Finland. Frequent co-authors include Kenneth M. Weiss, Joseph D. Terwilliger, Paul A. Rota, Matt Ferrari, Claudia Steulet, Sébastien Antoni, Marta Gacic-Dobo, Anindya Sekhar Bose, Mick N. Mulders and Allison Portnoy. Their work appears in journals such as MMWR Morbidity and Mortality Weekly Report, American Journal of Physical Anthropology, Annals of Human Genetics, Scientific Reports and European Journal of Human Genetics.

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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