Michel Rabenarivo

532 total citations
15 papers, 424 citations indexed

About

Michel Rabenarivo is a scholar working on Soil Science, Environmental Engineering and Artificial Intelligence. According to data from OpenAlex, Michel Rabenarivo has authored 15 papers receiving a total of 424 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Soil Science, 7 papers in Environmental Engineering and 6 papers in Artificial Intelligence. Recurrent topics in Michel Rabenarivo's work include Soil Carbon and Nitrogen Dynamics (7 papers), Soil Geostatistics and Mapping (7 papers) and Geochemistry and Geologic Mapping (6 papers). Michel Rabenarivo is often cited by papers focused on Soil Carbon and Nitrogen Dynamics (7 papers), Soil Geostatistics and Mapping (7 papers) and Geochemistry and Geologic Mapping (6 papers). Michel Rabenarivo collaborates with scholars based in Madagascar, Japan and France. Michel Rabenarivo's co-authors include Andry Andriamananjara, Yasuhiro Tsujimoto, Tantely Razafimbelo, Kensuke Kawamura, Tovohery Rakotoson, Hidetoshi Asai, Lydie Chapuis‐Lardy, Tomohiro Nishigaki, Bernard Barthès and Naoki Moritsuka and has published in prestigious journals such as Geoderma, Remote Sensing and Field Crops Research.

In The Last Decade

Michel Rabenarivo

14 papers receiving 421 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Michel Rabenarivo Madagascar	11	191	131	129	97	95	15	424
Meihua Yang China	11	256 1.3×	142 1.1×	75 0.6×	161 1.7×	140 1.5×	30	551
Angela Guerrero Belgium	10	192 1.0×	82 0.6×	55 0.4×	58 0.6×	98 1.0×	15	342
Marie Ludwig Germany	6	270 1.4×	201 1.5×	193 1.5×	202 2.1×	71 0.7×	7	568
Muhammad Abdul Munnaf Belgium	14	401 2.1×	199 1.5×	89 0.7×	177 1.8×	134 1.4×	29	638
Brian W. Dunn Australia	14	251 1.3×	103 0.8×	199 1.5×	135 1.4×	325 3.4×	30	690
Niranjan Panigrahi India	12	138 0.7×	66 0.5×	72 0.6×	35 0.4×	150 1.6×	18	414
Antoine Denis Belgium	10	281 1.5×	80 0.6×	118 0.9×	186 1.9×	121 1.3×	22	477
Tovohery Rakotoson Madagascar	16	118 0.6×	81 0.6×	289 2.2×	65 0.7×	401 4.2×	36	756
Els Vrindts Belgium	10	173 0.9×	133 1.0×	65 0.5×	32 0.3×	245 2.6×	16	487
Vahid Khosravi Iran	14	220 1.2×	70 0.5×	45 0.3×	222 2.3×	186 2.0×	51	613

Countries citing papers authored by Michel Rabenarivo

Since Specialization

Citations

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

Fields of papers citing papers by Michel Rabenarivo

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Michel Rabenarivo

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

All Works

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15 of 15 papers shown

Asai, Hidetoshi, Andry Andriamananjara, Michel Rabenarivo, et al.. (2025). Selective application of farmyard manure to phosphorus-deficient soils improves rice yields in sub-Saharan Africa: Insights from field trials and literature review. Field Crops Research. 330. 109932–109932.

Razafimbelo, Tantely, Alain Albrecht, Thierry Becquer, et al.. (2022). Priorities for soil research and sustainable management in Madagascar. Geoderma Regional. 29. e00518–e00518. 3 indexed citations

Kawamura, Kensuke, Tomohiro Nishigaki, Andry Andriamananjara, et al.. (2021). Using a One-Dimensional Convolutional Neural Network on Visible and Near-Infrared Spectroscopy to Improve Soil Phosphorus Prediction in Madagascar. Remote Sensing. 13(8). 1519–1519. 44 indexed citations

Nishigaki, Tomohiro, Yasuhiro Tsujimoto, Tovohery Rakotoson, et al.. (2021). Soil phosphorus retention can predict responses of phosphorus uptake and yield of rice plants to P fertilizer application in flooded weathered soils in the central highlands of Madagascar. Geoderma. 402. 115326–115326. 20 indexed citations

Asai, Hidetoshi, Michel Rabenarivo, Andry Andriamananjara, et al.. (2021). Farmyard manure application increases spikelet fertility and grain yield of lowland rice on phosphorus-deficient and cool-climate conditions in Madagascar highlands. Plant Production Science. 24(4). 481–489. 10 indexed citations

Tsujimoto, Yasuhiro, et al.. (2021). Phosphorus application affects lowland rice yields by changing phenological development and cold stress degrees in the central highlands of Madagascar. Field Crops Research. 271. 108256–108256. 20 indexed citations

Razafimbelo, Tantely, Michel Rabenarivo, Thierry Becquer, et al.. (2021). Earthworm Inoculation Improves Upland Rice Crop Yield and Other Agrosystem Services in Madagascar. Agriculture. 11(1). 60–60. 14 indexed citations

Kawamura, Kensuke, Yasuhiro Tsujimoto, Tomohiro Nishigaki, et al.. (2019). Laboratory Visible and Near-Infrared Spectroscopy with Genetic Algorithm-Based Partial Least Squares Regression for Assessing the Soil Phosphorus Content of Upland and Lowland Rice Fields in Madagascar. Remote Sensing. 11(5). 506–506. 44 indexed citations

Moritsuka, Naoki, Kensuke Kawamura, Yasuhiro Tsujimoto, et al.. (2019). Comparison of visual and instrumental measurements of soil color with different low-cost colorimeters. Soil Science & Plant Nutrition. 65(6). 605–615. 25 indexed citations

10.

Barthès, Bernard, Ernest Kouakoua, Michaël Clairotte, et al.. (2018). Performance comparison between a miniaturized and a conventional near infrared reflectance (NIR) spectrometer for characterizing soil carbon and nitrogen. Geoderma. 338. 422–429. 44 indexed citations

11.

Kawamura, Kensuke, Yasuhiro Tsujimoto, Michel Rabenarivo, et al.. (2017). Vis-NIR Spectroscopy and PLS Regression with Waveband Selection for Estimating the Total C and N of Paddy Soils in Madagascar. Remote Sensing. 9(10). 1081–1081. 83 indexed citations

12.

Brossard, Michel, Clovis Grinand, Andry Andriamananjara, et al.. (2016). Mapping soil organic carbon on a national scale: Towards an improved and updated map of Madagascar. Geoderma Regional. 9. 29–38. 57 indexed citations

13.

Rabenarivo, Michel, et al.. (2013). Emissions of CO₂ and N₂O from a pasture soil from Madagascar—Simulating conversion to direct‐seeding mulch‐based cropping in incubations with organic and inorganic inputs. Journal of Plant Nutrition and Soil Science. 177(3). 360–368. 5 indexed citations

14.

Rabenarivo, Michel, Lydie Chapuis‐Lardy, Didier Brunet, et al.. (2013). Comparing near and Mid-Infrared Reflectance Spectroscopy for Determining Properties of Malagasy Soils, Using Global or LOCAL Calibration. Journal of Near Infrared Spectroscopy. 21(6). 495–509. 25 indexed citations

15.

Chapuis‐Lardy, Lydie, Aurélie Metay, Michel Rabenarivo, et al.. (2008). Nitrous oxide fluxes from Malagasy agricultural soils. Geoderma. 148(3-4). 421–427. 30 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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