Clément Lazarus

12 papers receiving 283 citations

Peers

Clément Lazarus
Comparison fields: 5 of 69
  • Statistics, Probability and Uncertainty 67
  • General Health Professions 62
  • History and Philosophy of Science 10
  • Modeling and Simulation 9
  • Health Informatics 2
Replace Doncho Donev with:
Doncho Donev North Macedonia
Ibrahim Marroun France
Harlan Campbell Canada
Danielle M. Wenner United States
Philippe Amiel France
Xiaolian Jiang China
Nicolás Rosillo Spain
Amy K. Feehan United States
Tanya Millard Australia
Heather Cunningham Canada
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Citations per field
00.5×3.4×
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Citations per year

Countries citing papers authored by Clément Lazarus

Since Specialization
Citations

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

Fields of papers citing papers by Clément Lazarus

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

13 of 13 papers shown
#Work
1 201590
2 199963
3 201542
4 201641
5 201226
6 202016
7 20165
8 20234
9 20014
10 20203
11 20113
12 20191
13
Enhancing laboratory capacities in the Caribbean for better animal health regional surveillance
20120

About Clément Lazarus

Clément Lazarus is a scholar working on Infectious Diseases, General Health Professions, Agronomy and Crop Science, Public Health, Environmental and Occupational Health and Epidemiology, having authored 13 papers that have together received 298 indexed citations. Recurring topics across this work include Animal Disease Management and Epidemiology (3 papers), Mosquito-borne diseases and control (2 papers), Viral Infections and Outbreaks Research (2 papers), Meta-analysis and systematic reviews (2 papers), Influenza Virus Research Studies (2 papers), Homelessness and Social Issues (2 papers), Viral Infections and Vectors (2 papers) and Zoonotic diseases and public health (1 paper). The work is most often cited by research in Statistics, Probability and Uncertainty (67 citations), General Health Professions (62 citations), History and Philosophy of Science (10 citations), Modeling and Simulation (9 citations) and Health Informatics (2 citations). Clément Lazarus has collaborated with scholars based in France, United Kingdom and United States. Frequent co-authors include Romana Haneef, Isabelle Boutron, Philippe Ravaud, Amélie Yavchitz, Douglas G. Altman, Sally Hopewell, Céline Bellesme, C. Adamsbaum, Patrick Aubourg and Caroline Sevin. Their work appears in journals such as Vaccines, Social Psychiatry and Psychiatric Epidemiology, BMC Medical Research Methodology, Emerging infectious diseases and The Lancet Public Health.

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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