Anne‐Françoise Yao

555 citations
14 papers · 309 indexed · h-index 11
Topics
Statistical Methods and Inference (7 papers)Soil Geostatistics and Mapping (7 papers)Advanced Statistical Methods and Models (3 papers)
Partner nations
FranceAlgeriaMorocco

In The Last Decade

Anne‐Françoise Yao

13 papers receiving 295 citations

Peers

Anne‐Françoise Yao
Comparison fields: 5 of 78
  • Statistics and Probability 176
  • Artificial Intelligence 78
  • Environmental Engineering 51
  • Economics and Econometrics 49
  • Control and Systems Engineering 38
Replace Wenlin Dai with:
Wenlin Dai China
María Eugenia Castellanos Spain
Yue Niu United States
Sudhir Gupta United States
Davide Pigoli United Kingdom
Sally Wood Australia
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William V. Harper United States
Raymond Cheng United States
Gabriel A. Rodriguez‐Yam Mexico
Anne‐Françoise Yao relative to Wenlin Dai China Wenlin Dai's profile →
Citations per field
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Citations per year

Countries citing papers authored by Anne‐Françoise Yao

Since Specialization
Citations

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

Fields of papers citing papers by Anne‐Françoise Yao

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Anne‐Françoise Yao. 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 Anne‐Françoise Yao. The network helps show where Anne‐Françoise Yao may publish in the future.

Co-authorship network of co-authors of Anne‐Françoise Yao

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

All Works

14 of 14 papers shown
#WorkIndexed citations
1 0
2 11
3 13
4 2
5 50
6 20
7 10
8
NECESSARY AND SUFFICIENT CONDITIONS FOR CONSISTENCY OF A METHOD FOR SMOOTHED FUNCTIONAL INVERSE REGRESSION
11
9 5
10 16
11 44
12 15
13 99
14 13

About Anne‐Françoise Yao

Anne‐Françoise Yao is a scholar working on Statistics and Probability, Environmental Engineering and Artificial Intelligence, having authored 14 papers that have together received 309 indexed citations. Recurring topics across this work include Statistical Methods and Inference (7 papers), Soil Geostatistics and Mapping (7 papers) and Advanced Statistical Methods and Models (3 papers). The work is most often cited by research in Statistics and Probability (176 citations), Environmental Engineering (51 citations) and Gastroenterology (14 citations). Anne‐Françoise Yao has collaborated with scholars based in France, Algeria and Morocco. Frequent co-authors include Sophie Dabo‐Niang, Camille Ternynck, Ghislain Garrait, Eric Beyssac, Monique Alric, Stéphanie Blanquet‐Diot, Claude Manté, Sylvain Denis, Olivier Le Goff and Olivier François. Their work appears in journals such as PLoS ONE, Biotechnology and Bioengineering and Neurocomputing.

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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