Emile Ndikumana

808 total citations
7 papers, 544 citations indexed

About

Emile Ndikumana is a scholar working on Ecology, Atmospheric Science and Environmental Engineering. According to data from OpenAlex, Emile Ndikumana has authored 7 papers receiving a total of 544 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Ecology, 3 papers in Atmospheric Science and 3 papers in Environmental Engineering. Recurrent topics in Emile Ndikumana's work include Remote Sensing in Agriculture (5 papers), Remote Sensing and Land Use (3 papers) and Synthetic Aperture Radar (SAR) Applications and Techniques (3 papers). Emile Ndikumana is often cited by papers focused on Remote Sensing in Agriculture (5 papers), Remote Sensing and Land Use (3 papers) and Synthetic Aperture Radar (SAR) Applications and Techniques (3 papers). Emile Ndikumana collaborates with scholars based in France, Vietnam and Italy. Emile Ndikumana's co-authors include Dinh Ho Tong Minh, Nicolas Baghdadi, Dominique Courault, Laure Hossard, Mohammad El Hajj, Hatem Belhouchette, Hassan Bazzi, Mehrez Zribi, Dino Ienco and Pierre Maurel and has published in prestigious journals such as Remote Sensing of Environment, Remote Sensing and IEEE Geoscience and Remote Sensing Letters.

In The Last Decade

Emile Ndikumana

7 papers receiving 531 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Emile Ndikumana France 5 363 189 161 147 126 7 544
Damian Bargiel Germany 9 361 1.0× 194 1.0× 150 0.9× 96 0.7× 93 0.7× 20 484
Amanda Veloso France 5 472 1.3× 320 1.7× 181 1.1× 164 1.1× 64 0.5× 6 695
G. Reichert Canada 6 301 0.8× 193 1.0× 115 0.7× 114 0.8× 97 0.8× 6 498
Arthur Vincent France 2 402 1.1× 173 0.9× 105 0.7× 135 0.9× 168 1.3× 2 547
Claire Marais-Sicre France 8 520 1.4× 323 1.7× 230 1.4× 144 1.0× 88 0.7× 18 698
M. Chakraborty India 11 267 0.7× 236 1.2× 117 0.7× 168 1.1× 109 0.9× 35 575
Laura Dingle Robertson Canada 11 323 0.9× 230 1.2× 79 0.5× 125 0.9× 143 1.1× 25 513
Milena Planells France 7 549 1.5× 404 2.1× 189 1.2× 180 1.2× 80 0.6× 15 788
Pierre Todoroff France 12 456 1.3× 308 1.6× 310 1.9× 114 0.8× 50 0.4× 28 684
Isabelle Piccard Belgium 8 308 0.8× 155 0.8× 119 0.7× 96 0.7× 81 0.6× 16 439

Countries citing papers authored by Emile Ndikumana

Since Specialization
Citations

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

Fields of papers citing papers by Emile Ndikumana

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Emile Ndikumana

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

All Works

7 of 7 papers shown
1.
Courault, Dominique, Laure Hossard, Emile Ndikumana, et al.. (2019). Assessment of Agricultural Practices from Sentinel 1 & 2 Images Applied on Rice Fields to Get A Farm Typology in the Camargue Region. HAL (Le Centre pour la Communication Scientifique Directe). 7152–7155. 2 indexed citations
2.
Courault, Dominique, Valérie Demarez, Laure Hossard, et al.. (2019). Comparison of Two Modeling Approaches to Simulate Rice Production in the Camargue Region Using Sentinel 2 Data. HAL (Le Centre pour la Communication Scientifique Directe). 110. 7243–7246. 1 indexed citations
3.
Bazzi, Hassan, Nicolas Baghdadi, Mohammad El Hajj, et al.. (2019). Mapping Paddy Rice Using Sentinel-1 SAR Time Series in Camargue, France. Remote Sensing. 11(7). 887–887. 139 indexed citations
4.
Ndikumana, Emile, et al.. (2018). Estimation of Rice Height and Biomass Using Multitemporal SAR Sentinel-1 for Camargue, Southern France. Remote Sensing. 10(9). 1394–1394. 69 indexed citations
5.
Ndikumana, Emile, Dinh Ho Tong Minh, Nicolas Baghdadi, Dominique Courault, & Laure Hossard. (2018). Deep Recurrent Neural Network for Agricultural Classification using multitemporal SAR Sentinel-1 for Camargue, France. Remote Sensing. 10(8). 1217–1217. 209 indexed citations
6.
Minh, Dinh Ho Tong, Emile Ndikumana, Ghislain Vieilledent, Doyle McKey, & Nicolas Baghdadi. (2018). Potential value of combining ALOS PALSAR and Landsat-derived tree cover data for forest biomass retrieval in Madagascar. Remote Sensing of Environment. 213. 206–214. 28 indexed citations
7.
Minh, Dinh Ho Tong, et al.. (2018). Deep Recurrent Neural Networks for Winter Vegetation Quality Mapping via Multitemporal SAR Sentinel-1. IEEE Geoscience and Remote Sensing Letters. 15(3). 464–468. 96 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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