Philippe Richaume

4.1k total citations · 1 hit paper
22 papers, 2.6k citations indexed

About

Philippe Richaume is a scholar working on Environmental Engineering, Atmospheric Science and Aerospace Engineering. According to data from OpenAlex, Philippe Richaume has authored 22 papers receiving a total of 2.6k indexed citations (citations by other indexed papers that have themselves been cited), including 20 papers in Environmental Engineering, 19 papers in Atmospheric Science and 3 papers in Aerospace Engineering. Recurrent topics in Philippe Richaume's work include Soil Moisture and Remote Sensing (20 papers), Climate change and permafrost (11 papers) and Precipitation Measurement and Analysis (11 papers). Philippe Richaume is often cited by papers focused on Soil Moisture and Remote Sensing (20 papers), Climate change and permafrost (11 papers) and Precipitation Measurement and Analysis (11 papers). Philippe Richaume collaborates with scholars based in France, Netherlands and United Kingdom. Philippe Richaume's co-authors include Jean‐Pierre Wigneron, Ahmad Al Bitar, Arnaud Mialon, Yann H. Kerr, P. Ferrazzoli, Philippe Waldteufel, Amen Al‐Yaari, François Cabot, Delphine Leroux and Silvia Enache Juglea and has published in prestigious journals such as Remote Sensing of Environment, Geophysical Research Letters and IEEE Transactions on Geoscience and Remote Sensing.

In The Last Decade

Philippe Richaume

21 papers receiving 2.6k citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

The SMOS Soil Moisture Retrieval Algorithm

2012 781 citations Philippe Waldteufel, Philippe Richaume et al. IEEE Transactions on Geoscience and Remote Sensing profile →

Peers

Philippe Richaume

CSE

GPC

Silvia Enache Juglea France

Delphine Leroux France

Thierry Pellarin France

Claire Gruhier France

Christoph Paulik Austria

Mike Schwank Switzerland

Philippe Richaume France

A.Y. Hsu United States

A. Hahne Netherlands

S. Hasenauer Austria

Silvia Enache Juglea France

Philippe Richaume

2.0k ×0.9

1.8k ×0.9

348 ×1.0

CSE

299 ×0.9

GPC

286 ×1.0

Citations per year, relative to Philippe Richaume Philippe Richaume (= 1×) peers Silvia Enache Juglea

Countries citing papers authored by Philippe Richaume

Since Specialization

Citations

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

Fields of papers citing papers by Philippe Richaume

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Philippe Richaume

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

All Works

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20 of 20 papers shown

Rodríguez-Fernández, Nemesio, Philippe Richaume, Arnaud Mialon, et al.. (2019). Is vegetation optical depth needed to estimate biomass from passive microwave radiometers? A statistical study using neural networks. SPIRE - Sciences Po Institutional REpository. 9. 5496–5499. 2 indexed citations

Kerr, Yann H., Amen Al‐Yaari, Jean‐Pierre Wigneron, et al.. (2019). After Almost 10 Years in Orbit: First Glance at Synergisms and New Results. SPIRE - Sciences Po Institutional REpository. 6154–6157.

Scholze, Marko, T. Kaminski, Wolfgang Knorr, et al.. (2019). Mean European Carbon Sink Over 2010–2015 Estimated by Simultaneous Assimilation of Atmospheric CO₂, Soil Moisture, and Vegetation Optical Depth. Geophysical Research Letters. 46(23). 13796–13803. 31 indexed citations

Rodríguez-Fernández, Nemesio, Arnaud Mialon, Stéphane Mermoz, et al.. (2018). An evaluation of SMOS L-band vegetation optical depth (L-VOD) data sets: high sensitivity of L-VOD to above-ground biomass in Africa. Biogeosciences. 15(14). 4627–4645. 108 indexed citations

Rodríguez-Fernández, Nemesio, Arnaud Mialon, Stéphane Mermoz, et al.. (2018). Smos L-Band Vegetation Optical Depth is Highly Sensitive to Aboveground Biomass. SPIRE - Sciences Po Institutional REpository. 172. 9038–9041. 4 indexed citations

Kaminski, T., Marko Scholze, Wolfgang Knorr, et al.. (2018). Constraining Terrestrial Carbon Fluxes Through Assimilation of SMOS Products. HAL (Le Centre pour la Communication Scientifique Directe). 9. 1455–1458. 2 indexed citations

Bitar, Ahmad Al, Arnaud Mialon, Yann H. Kerr, et al.. (2017). The global SMOS Level 3 daily soil moisture and brightness temperature maps. Earth system science data. 9(1). 293–315. 192 indexed citations

Fernandez-Morán, Roberto, Jean‐Pierre Wigneron, Gabriëlle De Lannoy, et al.. (2017). A new calibration of the effective scattering albedo and soil roughness parameters in the SMOS SM retrieval algorithm. International Journal of Applied Earth Observation and Geoinformation. 62. 27–38. 59 indexed citations

Rodríguez-Fernández, Nemesio, Yann H. Kerr, Robin van der Schalie, et al.. (2016). Long Term Global Surface Soil Moisture Fields Using an SMOS-Trained Neural Network Applied to AMSR-E Data. Remote Sensing. 8(11). 959–959. 35 indexed citations

10.

Parrens, Marie, Jean‐Pierre Wigneron, Philippe Richaume, et al.. (2016). Global-scale surface roughness effects at L-band as estimated from SMOS observations. Remote Sensing of Environment. 181. 122–136. 80 indexed citations

11.

Grant, J.P., Jean‐Pierre Wigneron, Richard de Jeu, et al.. (2015). Comparison of SMOS and AMSR-E vegetation optical depth to four MODIS-based vegetation indices. Remote Sensing of Environment. 172. 87–100. 74 indexed citations

12.

Mialon, Arnaud, Philippe Richaume, Delphine Leroux, et al.. (2015). Comparison of Dobson and Mironov Dielectric Models in the SMOS Soil Moisture Retrieval Algorithm. IEEE Transactions on Geoscience and Remote Sensing. 53(6). 3084–3094. 61 indexed citations

13.

Al‐Yaari, Amen, Jean‐Pierre Wigneron, Yann H. Kerr, et al.. (2015). Testing regression equations to derive long-term global soil moisture datasets from passive microwave observations. Remote Sensing of Environment. 180. 453–464. 36 indexed citations

14.

Al‐Yaari, Amen, Jean‐Pierre Wigneron, Agnès Ducharne, et al.. (2014). Global-scale evaluation of two satellite-based passive microwave soil moisture datasets (SMOS and AMSR-E) with respect to Land Data Assimilation System estimates. Remote Sensing of Environment. 149. 181–195. 197 indexed citations

15.

Richaume, Philippe, Yan Soldo, Éric Anterrieu, et al.. (2014). RFI in SMOS measurements: Update on detection, localization, mitigation techniques and preliminary quantified impacts on soil moisture products. 223–226. 9 indexed citations

16.

Wigneron, Jean‐Pierre, Ernesto López-Baeza, Yann H. Kerr, et al.. (2014). Comparison of SMOS and SMAP soil moisture retrieval approaches using tower-based radiometer data over a vineyard field. Remote Sensing of Environment. 154. 89–101. 26 indexed citations

17.

Merlin, Olivier, Christoph Rüdiger, Ahmad Al Bitar, et al.. (2012). Disaggregation of SMOS Soil Moisture in Southeastern Australia. IEEE Transactions on Geoscience and Remote Sensing. 50(5). 1556–1571. 188 indexed citations

18.

Mattar, Cristián, Jean‐Pierre Wigneron, José A. Sobrino, et al.. (2012). A Combined Optical–Microwave Method to Retrieve Soil Moisture Over Vegetated Areas. IEEE Transactions on Geoscience and Remote Sensing. 50(5). 1404–1413. 30 indexed citations

19.

Waldteufel, Philippe, Philippe Richaume, Jean‐Pierre Wigneron, et al.. (2012). The SMOS Soil Moisture Retrieval Algorithm. IEEE Transactions on Geoscience and Remote Sensing. 50(5). 1384–1403. 781 indexed citations breakdown →

20.

Wigneron, Jean‐Pierre, Yann H. Kerr, Philippe Waldteufel, et al.. (2006). L-band Microwave Emission of the Biosphere (L-MEB) Model: Description and calibration against experimental data sets over crop fields. Remote Sensing of Environment. 107(4). 639–655. 496 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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