Marie‐Laurence Lambert

1.5k total citations
29 papers, 944 citations indexed

About

Marie‐Laurence Lambert is a scholar working on Epidemiology, General Health Professions and Critical Care and Intensive Care Medicine. According to data from OpenAlex, Marie‐Laurence Lambert has authored 29 papers receiving a total of 944 indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Epidemiology, 8 papers in General Health Professions and 7 papers in Critical Care and Intensive Care Medicine. Recurrent topics in Marie‐Laurence Lambert's work include Nosocomial Infections in ICU (7 papers), Antibiotic Use and Resistance (5 papers) and Patient Satisfaction in Healthcare (5 papers). Marie‐Laurence Lambert is often cited by papers focused on Nosocomial Infections in ICU (7 papers), Antibiotic Use and Resistance (5 papers) and Patient Satisfaction in Healthcare (5 papers). Marie‐Laurence Lambert collaborates with scholars based in Belgium, United States and Spain. Marie‐Laurence Lambert's co-authors include Kamran Siddiqi, John Walley, Antonella Agodi, Patrick Van der Stuyft, Mercedes Palomar, M. Hiesmayr, Marleen Boelaert, Uwe Frank, Karl Mertens and Armand Van Deun and has published in prestigious journals such as Scientific Reports, The Lancet Infectious Diseases and BMC Public Health.

In The Last Decade

Marie‐Laurence Lambert

27 papers receiving 921 citations

Peers

Marie‐Laurence Lambert
Comparison fields: 5 of 94
  • Infectious Diseases 484
  • Epidemiology 453
  • Surgery 227
  • Critical Care and Intensive Care Medicine 178
  • Applied Microbiology and Biotechnology 138
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Citations per field, relative to Marie‐Laurence Lambert
Marie‐Laurence Lambert · 1×
Citations per year, relative to Marie‐Laurence Lambert
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Countries citing papers authored by Marie‐Laurence Lambert

Since Specialization
Citations

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

Fields of papers citing papers by Marie‐Laurence Lambert

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Marie‐Laurence Lambert

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

All Works

20 of 20 papers shown
# Work Indexed citations
1 2
2 6
3 6
4 31
5 6
6 5
7 9
8 33
9 292
10 23
11 2
12 2
13 0
14 1
15 1
16 16
17 157
18 252
19 16
20 13

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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