Sophie Dabo‐Niang
- Statistics and Probability top 1%
- Environmental Engineering top 5%
- Artificial Intelligence top 10%
- Global and Planetary Change top 10%
- Economics and Econometrics top 10%
- Co-authors
- Taha B. M. J. OuardaAnne‐Françoise YaoFrédéric FerratyCamille TernynckFateh ChebanaAli LaksaciPhilippe VieuSerge Guillas
- Topics
- Statistical Methods and Inference (33 papers)Soil Geostatistics and Mapping (19 papers)Spatial and Panel Data Analysis (15 papers)
- Journals
- SHILAP Revista de lepidopterologíaJournal of the American Statistical AssociationScientific Reports
In The Last Decade
Sophie Dabo‐Niang
63 papers receiving 646 citations
Peers
Comparison fields: 5 of 97
- Statistics and Probability 286
- Environmental Engineering 190
- Artificial Intelligence 186
- Global and Planetary Change 149
- Economics and Econometrics 114
Countries citing papers authored by Sophie Dabo‐Niang
This map shows the geographic impact of Sophie Dabo‐Niang'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 Sophie Dabo‐Niang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Sophie Dabo‐Niang more than expected).
Fields of papers citing papers by Sophie Dabo‐Niang
This network shows the impact of papers produced by Sophie Dabo‐Niang. 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 Sophie Dabo‐Niang. The network helps show where Sophie Dabo‐Niang may publish in the future.
Co-authorship network of co-authors of Sophie Dabo‐Niang
This figure shows the co-authorship network connecting the top 25 collaborators of Sophie Dabo‐Niang. A scholar is included among the top collaborators of Sophie Dabo‐Niang 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 Sophie Dabo‐Niang. Sophie Dabo‐Niang is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 0 | |
| 3 | 0 | |
| 4 | 0 | |
| 5 | 1 | |
| 6 | 0 | |
| 7 | 7 | |
| 8 | 5 | |
| 9 | 1 | |
| 10 | 0 | |
| 11 | 0 | |
| 12 | 14 | |
| 13 | NON-PARAMETRIC LEVEL SET ESTIMATION FOR SPATIAL DATA | 1 |
| 14 | Functional data analysis in hydrology. | 1 |
| 15 | 7 | |
| 16 | 8 | |
| 17 | 0 Robust quantile estimation and prediction for spatial processes | 11 |
| 18 | 17 | |
| 19 | 16 | |
| 20 | 13 |
About Sophie Dabo‐Niang
Sophie Dabo‐Niang is a scholar working on Statistics and Probability, Environmental Engineering and Economics and Econometrics, having authored 72 papers that have together received 669 indexed citations. Recurring topics across this work include Statistical Methods and Inference (33 papers), Soil Geostatistics and Mapping (19 papers) and Spatial and Panel Data Analysis (15 papers). The work is most often cited by research in Statistics and Probability (286 citations), Environmental Engineering (190 citations) and Global and Planetary Change (149 citations). Sophie Dabo‐Niang has collaborated with scholars based in France, Algeria and Canada. Frequent co-authors include Taha B. M. J. Ouarda, Anne‐Françoise Yao, Frédéric Ferraty, Camille Ternynck, Fateh Chebana, Ali Laksaci, Fateh Chebana, Philippe Vieu, Serge Guillas and Pierre Masselot. Their work appears in journals such as SHILAP Revista de lepidopterología, Journal of the American Statistical Association and Scientific Reports.
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.