Laurence Guillot

424 citations
3 papers · 296 indexed · 1 hit paper · h-index 2
Topics
Mathematical Biology Tumor Growth (1 paper)Numerical methods in inverse problems (1 paper)Streptococcal Infections and Treatments (1 paper)

In The Last Decade

Laurence Guillot

3 papers receiving 292 citations

Hit Papers

Serotype distribution of Streptococcus pneumoniae causing...2017202620202023201750100150200250

Peers

Laurence Guillot
Comparison fields: 5 of 38
  • Epidemiology 269
  • Microbiology 115
  • Public Health, Environmental and Occupational Health 33
  • Infectious Diseases 13
  • Immunology 13
Replace Ranjith Jayaraman with:
Ranjith Jayaraman India
Kate Beard United Kingdom
M.L. Garlaschi Italy
Natalie Banniettis United States
Gudrun Maechler Belgium
Michi Shouji Japan
Tahreni Bwanaali United Kingdom
Mélina Messaoudi France
Doreen Fernsler United States
Kathy Everhart United States
Laurence Guillot relative to Ranjith Jayaraman India Ranjith Jayaraman's profile →
Citations per field
00.5×1.5×2.1×
Ranjith Jayaraman · 1×
Citations per year

Countries citing papers authored by Laurence Guillot

Since Specialization
Citations

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

Fields of papers citing papers by Laurence Guillot

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Laurence Guillot

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

All Works

3 of 3 papers shown
#WorkIndexed citations
1
Serotype distribution of Streptococcus pneumoniae causing invasive disease in children in the post-PCV era: A systematic review and meta-analysisbreakdown →
281
2 14
3 1

About Laurence Guillot

Laurence Guillot is a scholar working on Modeling and Simulation, Mathematical Physics and Computer Vision and Pattern Recognition, having authored 3 papers that have together received 296 indexed citations. Recurring topics across this work include Mathematical Biology Tumor Growth (1 paper), Numerical methods in inverse problems (1 paper) and Streptococcal Infections and Treatments (1 paper). The work is most often cited by research in Microbiology (115 citations), Epidemiology (269 citations) and Applied Microbiology and Biotechnology (4 citations). Laurence Guillot has collaborated with scholars based in United Kingdom, France and United States. Frequent co-authors include Evelyn Balsells, Moe H. Kyaw, Harish Nair, Carole Le Guyader and Maı̈tine Bergounioux. Their work appears in journals such as PLoS ONE, Communications in Mathematical Sciences and Communications on Pure & Applied Analysis.

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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