S. van der Laan

905 total citations
16 papers, 388 citations indexed

About

S. van der Laan is a scholar working on Global and Planetary Change, Atmospheric Science and Environmental Engineering. According to data from OpenAlex, S. van der Laan has authored 16 papers receiving a total of 388 indexed citations (citations by other indexed papers that have themselves been cited), including 16 papers in Global and Planetary Change, 13 papers in Atmospheric Science and 1 paper in Environmental Engineering. Recurrent topics in S. van der Laan's work include Atmospheric and Environmental Gas Dynamics (16 papers), Atmospheric Ozone and Climate (12 papers) and Atmospheric chemistry and aerosols (11 papers). S. van der Laan is often cited by papers focused on Atmospheric and Environmental Gas Dynamics (16 papers), Atmospheric Ozone and Climate (12 papers) and Atmospheric chemistry and aerosols (11 papers). S. van der Laan collaborates with scholars based in Netherlands, Switzerland and Germany. S. van der Laan's co-authors include Harro A. J. Meijer, R. E. M. Neubert, Ingrid T. Luijkx, Wouter Peters, Alex Vermeulen, Ronald Hutjes, A. G. C. A. Meesters, J.A. Elbers, Ute Karstens and A. J. Dolman and has published in prestigious journals such as Journal of Geophysical Research Atmospheres, Atmospheric Environment and Atmospheric chemistry and physics.

In The Last Decade

S. van der Laan

16 papers receiving 370 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
S. van der Laan Netherlands	11	279	231	38	33	31	16	388
Hugo Delgado Mexico	10	126 0.5×	184 0.8×	9 0.2×	21 0.6×	42 1.4×	19	439
María Martínez Costa Rica	9	116 0.4×	204 0.9×	18 0.5×	31 0.9×	13 0.4×	14	465
Andrei Serafimovich Germany	13	311 1.1×	334 1.4×	32 0.8×	51 1.5×	10 0.3×	34	499
M. Dunn United States	6	255 0.9×	254 1.1×	100 2.6×	25 0.8×	4 0.1×	12	410
F. Marino Italy	13	109 0.4×	353 1.5×	28 0.7×	15 0.5×	6 0.2×	17	441
Tjarda Roberts France	19	420 1.5×	631 2.7×	13 0.3×	79 2.4×	23 0.7×	46	837
Torben Gentz Germany	10	151 0.5×	187 0.8×	109 2.9×	10 0.3×	24 0.8×	21	398
L. F. Tolk Netherlands	7	213 0.8×	201 0.9×	32 0.8×	48 1.5×	4 0.1×	9	306
C. Werner United States	7	135 0.5×	132 0.6×	19 0.5×	52 1.6×	3 0.1×	10	309

Countries citing papers authored by S. van der Laan

Since Specialization

Citations

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

Fields of papers citing papers by S. van der Laan

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by S. van der Laan. 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 S. van der Laan. The network helps show where S. van der Laan may publish in the future.

Co-authorship network of co-authors of S. van der Laan

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

All Works

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16 of 16 papers shown

Laan, S. van der, Alex Vermeulen, Fred C. Bosveld, et al.. (2016). Inferring ²²² Rn soil fluxes from ambient ²²² Rn activity and eddy covariance measurements of CO ₂. Atmospheric measurement techniques. 9(11). 5523–5533. 6 indexed citations

Steinbacher, Martin, et al.. (2015). Comparison of continuous in situ CO ₂ observations at Jungfraujoch using two different measurement techniques. Atmospheric measurement techniques. 8(1). 57–68. 27 indexed citations

Molen, M. K. van der, Ivar R. van der Velde, Maarten Krol, et al.. (2014). Simulating the integrated summertime Δ ¹⁴ CO ₂ signature from anthropogenic emissions over Western Europe. Atmospheric chemistry and physics. 14(14). 7273–7290. 16 indexed citations

Laan, S. van der, Ingrid T. Luijkx, Lukas Zimmermann, Franz Conen, & Markus Leuenberger. (2014). Net CO₂ surface emissions at Bern, Switzerland inferred from ambient observations of CO₂, δ(O₂/N₂), and ²²²Rn using a customized radon tracer inversion. Journal of Geophysical Research Atmospheres. 119(3). 1580–1591. 13 indexed citations

Laan, S. van der, Ingrid T. Luijkx, Christian Rödenbeck, et al.. (2014). Atmospheric CO2, δ(O2/N2), APO and oxidative ratios from aircraft flask samples over Fyodorovskoye, Western Russia. Atmospheric Environment. 97. 174–181. 16 indexed citations

Molen, M. K. van der, et al.. (2013). Simulating the integrated Δ ¹⁴ CO ₂ signature from anthropogenic emissions over Western Europe. 1 indexed citations

Luijkx, Ingrid T., S. van der Laan, Chiara Uglietti, et al.. (2013). Atmospheric CO ₂ , δ(O ₂ /N ₂ ) and δ ¹³ CO ₂ measurements at Jungfraujoch, Switzerland: results from a flask sampling intercomparison program. Atmospheric measurement techniques. 6(7). 1805–1815. 13 indexed citations

Klaassen, Wim, et al.. (2012). Estimating Annual CO₂Flux for Lutjewad Station Using Three Different Gap-Filling Techniques. The Scientific World JOURNAL. 2012. 1–10. 9 indexed citations

Meesters, A. G. C. A., L. F. Tolk, Wouter Peters, et al.. (2012). Inverse carbon dioxide flux estimates for the Netherlands. Journal of Geophysical Research Atmospheres. 117(D20). 125 indexed citations

10.

Luijkx, Ingrid T., R. E. M. Neubert, S. van der Laan, & Harro A. J. Meijer. (2010). Continuous measurements of atmospheric oxygen and carbon dioxide on a North Sea gas platform. Atmospheric measurement techniques. 3(1). 113–125. 15 indexed citations

11.

Luijkx, Ingrid T., Ute Karstens, J. Steinbach, et al.. (2010). CO ₂ , δO ₂ /N ₂ and APO: observations from the Lutjewad, Mace Head and F3 platform flask sampling network. Atmospheric chemistry and physics. 10(21). 10691–10704. 13 indexed citations

12.

Laan, S. van der, Ute Karstens, R. E. M. Neubert, Ingrid T. Luijkx, & Harro A. J. Meijer. (2010). Observation-based estimates of fossil fuel-derived CO<sub>2</sub> emissions in the Netherlands using Δ14C, CO and <sup>222</sup>Radon. Tellus B. 62(5). 389–389. 46 indexed citations

13.

Laan, S. van der, et al.. (2010). Observation-based estimates of fossil fuel-derived CO₂emissions in the Netherlands using Δ¹⁴C, CO and²²²Radon. Tellus B. 62(5). 2 indexed citations

14.

Laan, S. van der, R. E. M. Neubert, & Harro A. J. Meijer. (2009). Methane and nitrous oxide emissions in The Netherlands: ambient measurements support the national inventories. Atmospheric chemistry and physics. 9(24). 9369–9379. 30 indexed citations

15.

Laan, S. van der, R. E. M. Neubert, & Harro A. J. Meijer. (2009). Methane and nitrous oxide emissions in The Netherlands: ambient measurements support the national inventories. University of Groningen research database (University of Groningen / Centre for Information Technology). 1 indexed citations

16.

Laan, S. van der, R. E. M. Neubert, & Harro A. J. Meijer. (2009). A single gas chromatograph for accurate atmospheric mixing ratio measurements of CO ₂ , CH ₄ , N ₂ O, SF ₆ and CO. Atmospheric measurement techniques. 2(2). 549–559. 55 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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