E. Lesaffre

915 citations
16 papers · 688 · h-index 13

Impact in

Papers in

    • Statistical Methods and Bayesian Inference 3
    • Advanced Statistical Methods and Models 2
    • Statistical Methods and Inference 2
    • Statistical Methods in Epidemiology 2
    • Fuzzy Systems and Optimization 1
    • Statistical Distribution Estimation and Applications 1
    • Reliability and Agreement in Measurement 3

E. Lesaffre

16 papers receiving 656 citations

Peers

E. Lesaffre
Comparison fields: 5 of 137
  • Statistics and Probability 88
  • Periodontics 42
  • Rehabilitation 50
  • Epidemiology 185
  • General Dentistry 7
Replace Teresa Oliveira with:
Teresa Oliveira Portugal
Nils Blomqvist Sweden
Prashant Kadam Belgium
Sangita Kulathinal Finland
Stefan Englert Germany
Yazhou Wu China
Basílio de Bragança Pereira Brazil
Wenjing Tong United States
Antonio Carlos Pedroso de Lima Brazil
Ingrid A. Amara United States
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Citations per field
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Citations per year

Countries citing papers authored by E. Lesaffre

Since Specialization
Citations

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

Fields of papers citing papers by E. Lesaffre

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

16 of 16 papers shown
#Work
1 1999258
2 2006126
3 199664
4 201237
5
Measuring oral health behaviour in Flemish health care workers: an application of the theory of planned behaviour.
200827
6 200426
7 200225
8 201024
9 200424
10 201017
11 201017
12 201414
13 201412
14 19889
15 20106
16 20152

About E. Lesaffre

E. Lesaffre is a scholar working on Statistics and Probability, Statistics, Probability and Uncertainty, Artificial Intelligence, Dermatology and Cardiology and Cardiovascular Medicine, having authored 16 papers that have together received 688 indexed citations. Recurring topics across this work include Statistical Methods and Bayesian Inference (3 papers), Reliability and Agreement in Measurement (3 papers), Advanced Statistical Methods and Models (2 papers), Statistical Methods and Inference (2 papers), Statistical Methods in Epidemiology (2 papers), Bayesian Methods and Mixture Models (2 papers), Fuzzy Systems and Optimization (1 paper) and Statistical Distribution Estimation and Applications (1 paper). The work is most often cited by research in Statistics and Probability (88 citations), Periodontics (42 citations), Rehabilitation (50 citations), Epidemiology (185 citations) and General Dentistry (7 citations). E. Lesaffre has collaborated with scholars based in Belgium, Netherlands and United States. Frequent co-authors include José Castillo, A. Dávalos, Stefano Bastianello, Danilo Toni, Dimitris Rizopoulos, Roula Tsonaka, Dominique Declerck, H. Eyssen, J. Van Eldere and G. De Pauw. Their work appears in journals such as Statistics in Medicine, Biostatistics, Clinical Oral Investigations, Journal of Dental Research and The Journal of Rheumatology.

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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