Benoît Langlais

654 total citations
9 papers, 470 citations indexed

About

Benoît Langlais is a scholar working on Molecular Biology, Geophysics and Astronomy and Astrophysics. According to data from OpenAlex, Benoît Langlais has authored 9 papers receiving a total of 470 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Molecular Biology, 5 papers in Geophysics and 3 papers in Astronomy and Astrophysics. Recurrent topics in Benoît Langlais's work include Geomagnetism and Paleomagnetism Studies (8 papers), Earthquake Detection and Analysis (3 papers) and Geology and Paleoclimatology Research (3 papers). Benoît Langlais is often cited by papers focused on Geomagnetism and Paleomagnetism Studies (8 papers), Earthquake Detection and Analysis (3 papers) and Geology and Paleoclimatology Research (3 papers). Benoît Langlais collaborates with scholars based in France, United States and Germany. Benoît Langlais's co-authors include Mioara Mandéa, Nils Olsen, Gauthier Hulot, Céline Eymin, Michael E. Purucker, Erwan Thébault, Terence J. Sabaka, Susan Macmillan, V. P. Golovkov and John F. Quinn and has published in prestigious journals such as Nature, Geophysical Research Letters and Tectonophysics.

In The Last Decade

Benoît Langlais

9 papers receiving 449 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Benoît Langlais France	7	379	254	183	125	105	9	470
K. A. Whaler United Kingdom	14	312 0.8×	403 1.6×	96 0.5×	174 1.4×	159 1.5×	29	635
Nobutatsu Mochizuki Japan	15	378 1.0×	339 1.3×	364 2.0×	114 0.9×	34 0.3×	57	616
Sungchan Choi South Korea	10	385 1.0×	368 1.4×	101 0.6×	265 2.1×	181 1.7×	27	667
Magnus Hammer Denmark	9	343 0.9×	210 0.8×	85 0.5×	166 1.3×	141 1.3×	14	415
Takesi Yukutake United States	17	549 1.4×	498 2.0×	200 1.1×	203 1.6×	173 1.6×	48	795
Phillip L. McFadden Australia	10	795 2.1×	560 2.2×	647 3.5×	137 1.1×	58 0.6×	10	898
W. M. Davis United States	8	171 0.5×	128 0.5×	132 0.7×	46 0.4×	52 0.5×	17	316
I. Wardinski Germany	20	805 2.1×	429 1.7×	361 2.0×	355 2.8×	308 2.9×	36	955
N. W. Peddie United States	12	338 0.9×	256 1.0×	50 0.3×	138 1.1×	147 1.4×	29	467
M. Greff‐Lefftz France	19	310 0.8×	408 1.6×	160 0.9×	197 1.6×	372 3.5×	47	725

Countries citing papers authored by Benoît Langlais

Since Specialization

Citations

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

Fields of papers citing papers by Benoît Langlais

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Benoît Langlais

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

All Works

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9 of 9 papers shown

1.

Mandéa, Mioara & Benoît Langlais. (2014). Use of Ørsted scalar data in evaluating the pre-Ørsted main field candidate models for the IGRF 2000. Earth Planets and Space. 52(12). 1167–1170. 3 indexed citations

2.

Langlais, Benoît & Mioara Mandéa. (2014). An IGRF candidate main geomagnetic field model for epoch 2000 and a secular variation model for 2000–2005. Earth Planets and Space. 52(12). 1137–1148. 5 indexed citations

3.

Langlais, Benoît & Erwan Thébault. (2011). Predicted and observed magnetic signatures of martian (de)magnetized impact craters. Icarus. 212(2). 568–578. 15 indexed citations

4.

Thébault, Erwan, Arnaud Chulliat, S. Maus, et al.. (2010). IGRF candidate models at times of rapid changes in core field acceleration. Earth Planets and Space. 62(10). 753–763. 11 indexed citations

5.

Thébault, Erwan, et al.. (2010). The Magnetic Field of the Earth’s Lithosphere. Space Science Reviews. 155(1-4). 95–127. 113 indexed citations

6.

Quesnel, Y., U. Weckmann, O. Ritter, et al.. (2008). Simple models for the Beattie Magnetic Anomaly in South Africa. Tectonophysics. 478(1-2). 111–118. 13 indexed citations

7.

Hulot, Gauthier, Céline Eymin, Benoît Langlais, Mioara Mandéa, & Nils Olsen. (2002). Small-scale structure of the geodynamo inferred from Oersted and Magsat satellite data. Nature. 416(6881). 620–623. 231 indexed citations

8.

Purucker, Michael E., Benoît Langlais, Nils Olsen, Gauthier Hulot, & Mioara Mandéa. (2002). The southern edge of cratonic North America: Evidence from new satellite magnetometer observations. Geophysical Research Letters. 29(15). 50 indexed citations

9.

Mandéa, Mioara, Susan Macmillan, V. P. Golovkov, et al.. (2000). International geomagnetic reference field — 2000. Physics of The Earth and Planetary Interiors. 120(1-2). 39–42. 29 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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