N. Evora

510 total citations
10 papers, 392 citations indexed

About

N. Evora is a scholar working on Water Science and Technology, Atmospheric Science and Global and Planetary Change. According to data from OpenAlex, N. Evora has authored 10 papers receiving a total of 392 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Water Science and Technology, 5 papers in Atmospheric Science and 5 papers in Global and Planetary Change. Recurrent topics in N. Evora's work include Hydrology and Watershed Management Studies (8 papers), Cryospheric studies and observations (4 papers) and Climate variability and models (3 papers). N. Evora is often cited by papers focused on Hydrology and Watershed Management Studies (8 papers), Cryospheric studies and observations (4 papers) and Climate variability and models (3 papers). N. Evora collaborates with scholars based in Canada, India and Senegal. N. Evora's co-authors include Paulin Coulibaly, Vincent Fortin, Richard Turcotte, Diana Verseghy, Alain Pietroniro, Colin Neal, Bruce Davison, P. Pellerin, E. D. Soulis and N. Kouwen and has published in prestigious journals such as IEEE Transactions on Geoscience and Remote Sensing, Journal of Hydrology and Hydrology and earth system sciences.

In The Last Decade

N. Evora

10 papers receiving 372 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name	h						Papers	Cites
N. Evora Canada	6	191	191	168	167	29	10	392
Ridwan Siddique United States	12	260 1.4×	295 1.5×	222 1.3×	166 1.0×	14 0.5×	17	452
Yingchun Huang China	10	297 1.6×	327 1.7×	198 1.2×	149 0.9×	17 0.6×	18	462
Vinit Sehgal United States	12	228 1.2×	350 1.8×	260 1.5×	137 0.8×	29 1.0×	19	543
Roshan Srivastav India	12	250 1.3×	416 2.2×	194 1.2×	149 0.9×	26 0.9×	25	575
Chongli Di China	10	119 0.6×	141 0.7×	131 0.8×	64 0.4×	23 0.8×	25	322
Negin Hayatbini United States	8	103 0.5×	302 1.6×	117 0.7×	296 1.8×	17 0.6×	10	484
Taereem Kim United States	10	253 1.3×	309 1.6×	215 1.3×	138 0.8×	15 0.5×	20	471
Ahmed M. Al‐Areeq Saudi Arabia	14	217 1.1×	278 1.5×	208 1.2×	100 0.6×	12 0.4×	39	491
Tsun-Hua Yang Taiwan	12	148 0.8×	259 1.4×	94 0.6×	134 0.8×	26 0.9×	33	385
Birendra Bharti India	5	225 1.2×	230 1.2×	276 1.6×	70 0.4×	23 0.8×	12	446

Countries citing papers authored by N. Evora

Since Specialization

Citations

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

Fields of papers citing papers by N. Evora

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of N. Evora

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

All Works

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10 of 10 papers shown

1.

Evora, N. & Paulin Coulibaly. (2009). Recent advances in data-driven modeling of remote sensing applications in hydrology. Journal of Hydroinformatics. 11(3-4). 194–201. 15 indexed citations

2.

Evora, N., et al.. (2008). Comparison of data-driven methods for downscaling ensemble weather forecasts. Hydrology and earth system sciences. 12(2). 615–624. 26 indexed citations

3.

Evora, N., Dominique Tapsoba, & Danielle De Sève. (2008). Combining Artificial Neural Network Models, Geostatistics, and Passive Microwave Data for Snow Water Equivalent Retrieval and Mapping. IEEE Transactions on Geoscience and Remote Sensing. 46(7). 1925–1939. 17 indexed citations

4.

Pietroniro, Alain, Vincent Fortin, N. Kouwen, et al.. (2007). Development of the MESH modelling system for hydrological ensemble forecasting of the Laurentian Great Lakes at the regional scale. Hydrology and earth system sciences. 11(4). 1279–1294. 155 indexed citations

5.

Coulibaly, Paulin & N. Evora. (2007). Comparison of neural network methods for infilling missing daily weather records. Journal of Hydrology. 341(1-2). 27–41. 165 indexed citations

6.

Sève, Danielle De, N. Evora, & Dominique Tapsoba. (2007). Comparison of three algorithms for estimating Snow Water Equivalent (SWE) over the La Grande River watershed using SSM/I data in the context of Hydro- Québec’s hydraulic power management. 7 indexed citations

7.

Fortin, Vincent, et al.. (2004). Ensemble streamflow predictions: from climate scenarios to probabilistic weather predictions. AGUSM. 2004. 1 indexed citations

8.

Zhang, Qing, et al.. (2004). The Application of WGEN to Simulate Daily Climatic Data for Several Canadian Stations. Canadian Water Resources Journal / Revue canadienne des ressources hydriques. 29(1). 59–72. 3 indexed citations

9.

Evora, N. & Jean Rousselle. (2000). Hybrid Stochastic Model for Daily Flows Simulation in Semiarid Climates. Journal of Hydrologic Engineering. 5(1). 33–42. 2 indexed citations

10.

Evora, N.. (1997). Modélisation stochastique des débits journaliers : une nouvelle approche adaptée aux écoulements sahéliens. PolyPublie (École Polytechnique de Montréal). 1 indexed citations

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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