Kamal Labbassi

550 total citations
12 papers, 113 citations indexed

About

Kamal Labbassi is a scholar working on Environmental Engineering, Soil Science and Artificial Intelligence. According to data from OpenAlex, Kamal Labbassi has authored 12 papers receiving a total of 113 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Environmental Engineering, 4 papers in Soil Science and 3 papers in Artificial Intelligence. Recurrent topics in Kamal Labbassi's work include Geochemistry and Geologic Mapping (3 papers), Geological and Geophysical Studies Worldwide (3 papers) and Remote Sensing and LiDAR Applications (3 papers). Kamal Labbassi is often cited by papers focused on Geochemistry and Geologic Mapping (3 papers), Geological and Geophysical Studies Worldwide (3 papers) and Remote Sensing and LiDAR Applications (3 papers). Kamal Labbassi collaborates with scholars based in Morocco, Netherlands and Australia. Kamal Labbassi's co-authors include Massimo Menenti, Patrick Launeau, A. Gaudin, Silvia Maria Alfieri, Kourosh Khoshelham, I. J. Dowman, Patrick Launeau, Lorenzo Iannini, José Manuel Delgado Blasco and Freek van Leijen and has published in prestigious journals such as SHILAP Revista de lepidopterología, Remote Sensing and Water.

In The Last Decade

Kamal Labbassi

11 papers receiving 108 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Kamal Labbassi Morocco 6 40 40 28 27 19 12 113
Youssouf Koussoubé Burkina Faso 6 9 0.2× 59 1.5× 18 0.6× 69 2.6× 36 1.9× 20 147
Hsiao-Yuan Yin Taiwan 4 22 0.6× 14 0.3× 8 0.3× 117 4.3× 5 0.3× 8 239
Lucas Pedrosa Soares Brazil 6 46 1.1× 36 0.9× 23 0.8× 118 4.4× 2 0.1× 7 250
Gary B. Fisher United States 3 28 0.7× 25 0.6× 37 1.3× 10 0.4× 5 0.3× 9 116
Th Toutin Canada 6 9 0.2× 46 1.1× 18 0.6× 13 0.5× 11 0.6× 12 145
Phuong N. Truong Netherlands 7 28 0.7× 63 1.6× 4 0.1× 22 0.8× 14 0.7× 11 138
Arben Koçiu Austria 4 13 0.3× 26 0.7× 4 0.1× 47 1.7× 2 0.1× 7 122
Yingjie Cui China 9 11 0.3× 39 1.0× 5 0.2× 114 4.2× 64 3.4× 21 255
Brandon J. Weihs United States 7 8 0.2× 17 0.4× 4 0.1× 20 0.7× 9 0.5× 11 109
Raquel Angela Speck Brazil 4 16 0.4× 65 1.6× 26 0.9× 195 7.2× 72 3.8× 14 263

Countries citing papers authored by Kamal Labbassi

Since Specialization
Citations

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

Fields of papers citing papers by Kamal Labbassi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Kamal Labbassi

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

All Works

12 of 12 papers shown
1.
Alfieri, Silvia Maria, et al.. (2019). Detecting the Response of Irrigation Water Management to Climate by Remote Sensing Monitoring of Evapotranspiration. Water. 11(10). 2045–2045. 7 indexed citations
2.
Khoshelham, Kourosh, et al.. (2018). Impact of spatial resolution, interpolation and filtering algorithms on DEM accuracy for geomorphometric research: a case study from Sahel-Doukkala, Morocco. Modeling Earth Systems and Environment. 4(4). 1537–1554. 16 indexed citations
3.
Labbassi, Kamal, et al.. (2017). Land deformation monitoring using PS-InSAR technique over Sahel-Doukkala (Morocco). 1–6. 2 indexed citations
4.
Labbassi, Kamal, et al.. (2017). Extraction and accuracy assessment of high-resolution DEM and derived orthoimages from ALOS-PRISM data over Sahel-Doukkala (Morocco). Earth Science Informatics. 10(2). 197–217. 15 indexed citations
5.
Labbassi, Kamal, et al.. (2014). Observation and Modelling of Soil Water Content Towards Improved Performance Indicators of Large Irrigation Schemes. EGUGA. 14994. 1 indexed citations
6.
Alfieri, Silvia Maria, et al.. (2014). Monitoring of Irrigation Schemes by Remote Sensing: Phenology versus Retrieval of Biophysical Variables. Remote Sensing. 6(6). 5815–5851. 23 indexed citations
7.
Dowman, I. J. & Kamal Labbassi. (2014). The Development of Geospatial Education and Training in North Africa. SHILAP Revista de lepidopterología. XL-6. 1–5. 3 indexed citations
8.
Labbassi, Kamal, et al.. (2014). Contribution des données Alos et Landsat dans la cartographie et l'analyse des linéaments dans le Sahel Central (Maroc occidental). SHILAP Revista de lepidopterología. 33–42. 3 indexed citations
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Labbassi, Kamal. (1998). Subsidence et évolution thermique du bassin d'El Jadida-Agadir : Implications géodynamiques dans le cadre de la cinématique de l'Atlantique. 6 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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