Sander Slijkhuis

476 total citations
37 papers, 261 citations indexed

About

Sander Slijkhuis is a scholar working on Atmospheric Science, Global and Planetary Change and Aerospace Engineering. According to data from OpenAlex, Sander Slijkhuis has authored 37 papers receiving a total of 261 indexed citations (citations by other indexed papers that have themselves been cited), including 25 papers in Atmospheric Science, 19 papers in Global and Planetary Change and 13 papers in Aerospace Engineering. Recurrent topics in Sander Slijkhuis's work include Atmospheric Ozone and Climate (25 papers), Atmospheric and Environmental Gas Dynamics (19 papers) and Calibration and Measurement Techniques (12 papers). Sander Slijkhuis is often cited by papers focused on Atmospheric Ozone and Climate (25 papers), Atmospheric and Environmental Gas Dynamics (19 papers) and Calibration and Measurement Techniques (12 papers). Sander Slijkhuis collaborates with scholars based in Germany, Netherlands and United States. Sander Slijkhuis's co-authors include Werner Thomas, Diego Loyola, K. Chance, Robert Spurr, Pieter Valks, Ka Lok Chan, Franz Schreier, Steffen Beirle, Thomas Wagner and Sebastián Gimeno Garcìa and has published in prestigious journals such as The Science of The Total Environment, Geophysical Research Letters and Monthly Notices of the Royal Astronomical Society.

In The Last Decade

Sander Slijkhuis

35 papers receiving 251 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Sander Slijkhuis Germany 9 219 183 47 38 37 37 261
Tilman Steck Germany 6 311 1.4× 261 1.4× 43 0.9× 50 1.3× 38 1.0× 13 333
P. Demoulin Belgium 10 313 1.4× 276 1.5× 73 1.6× 32 0.8× 36 1.0× 10 343
D. N. Whiteman United States 8 263 1.2× 256 1.4× 26 0.6× 28 0.7× 36 1.0× 16 309
Elisa Castelli Italy 10 313 1.4× 270 1.5× 58 1.2× 42 1.1× 41 1.1× 40 362
A. Arriaga Germany 4 219 1.0× 216 1.2× 23 0.5× 46 1.2× 30 0.8× 6 264
H. Nett Netherlands 9 224 1.0× 183 1.0× 33 0.7× 19 0.5× 60 1.6× 23 274
C. Keim Germany 9 348 1.6× 290 1.6× 67 1.4× 35 0.9× 17 0.5× 22 378
I. Balin Switzerland 8 222 1.0× 231 1.3× 33 0.7× 23 0.6× 14 0.4× 19 285
N. Louisnard France 10 275 1.3× 206 1.1× 56 1.2× 32 0.8× 51 1.4× 19 331
Warren D. Hypes United States 5 316 1.4× 275 1.5× 24 0.5× 25 0.7× 51 1.4× 19 354

Countries citing papers authored by Sander Slijkhuis

Since Specialization
Citations

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

Fields of papers citing papers by Sander Slijkhuis

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Sander Slijkhuis

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

All Works

20 of 20 papers shown
1.
Chan, Ka Lok, Jian Xu, Sander Slijkhuis, Pieter Valks, & Diego Loyola. (2022). TROPOspheric Monitoring Instrument observations of total column water vapour: Algorithm and validation. The Science of The Total Environment. 821. 153232–153232. 13 indexed citations
2.
Chan, Ka Lok, et al.. (2020). Total column water vapor retrieval for Global Ozone Monitoring Experience-2 (GOME-2) visible blue observations. Atmospheric measurement techniques. 13(8). 4169–4193. 19 indexed citations
3.
Coldewey‐Egbers, Melanie, et al.. (2018). The Global Ozone Monitoring Experiment: review of in-flight performance and new reprocessed 1995–2011 level 1 product. Atmospheric measurement techniques. 11(9). 5237–5259.
4.
Slijkhuis, Sander, et al.. (2015). GOME/ERS-2: New Homogeneous Level 1B Data from an Old Instrument. elib (German Aerospace Center). 735. 25. 1 indexed citations
5.
Valks, Pieter, Diego Loyola, Sander Slijkhuis, et al.. (2015). Total column water vapour measurements from GOME-2 MetOp-A and MetOp-B. Atmospheric measurement techniques. 8(3). 1111–1133. 39 indexed citations
6.
Garcìa, Sebastián Gimeno, Franz Schreier, Günter Lichtenberg, & Sander Slijkhuis. (2011). Near infrared nadir retrieval of vertical column densities: methodology and application to SCIAMACHY. Atmospheric measurement techniques. 4(12). 2633–2657. 18 indexed citations
7.
Lichtenberg, Günter, et al.. (2010). Impact of Level 1 quality on SCIAMACHY Level 2 retrieval. cosp. 38. 9. 2 indexed citations
8.
Coldewey‐Egbers, Melanie, et al.. (2008). Long-term analysis of GOME in-flight calibration parameters and instrument degradation. Applied Optics. 47(26). 4749–4749. 10 indexed citations
9.
Gottwald, Manfred, Sander Slijkhuis, Christian von Savigny, et al.. (2007). DETERMINATION OF SCIAMACHY LINE-OF-SIGHT MISALIGNMENTS. 4 indexed citations
10.
Gottwald, Manfred, Sander Slijkhuis, Christian von Savigny, et al.. (2007). Determination of SCIAMACHY LOS Misalignments. elib (German Aerospace Center). 1 indexed citations
11.
Coldewey‐Egbers, Melanie, et al.. (2006). Long Term Monitoring of GOME/ERS-2 Calibration Parameters. elib (German Aerospace Center). 628. 25.
12.
Doicu, Adrian, et al.. (2006). An efficient inversion algorithm for atmospheric remote sensing with application to UV limb observations. Journal of Quantitative Spectroscopy and Radiative Transfer. 103(1). 193–208. 3 indexed citations
13.
Spurr, Robert, Diego Loyola, Werner Thomas, et al.. (2005). GOME level 1-to-2 data processor version 30: a major upgrade of the GOME/ERS-2 total ozone retrieval algorithm. Applied Optics. 44(33). 7196–7196. 18 indexed citations
14.
Slijkhuis, Sander, et al.. (2004). Re-analysis of GOME/ERS-2 Diffuser properties. elib (German Aerospace Center). 572. 1 indexed citations
15.
Aben, Ilse, et al.. (1999). GOME Degradation Correction at Solar Activity Maximum. elib (German Aerospace Center). 1 indexed citations
16.
Thomas, Werner, et al.. (1998). Detection of biomass burning combustion products in Southeast Asia from backscatter data taken by the GOME Spectrometer. Geophysical Research Letters. 25(9). 1317–1320. 61 indexed citations
17.
Thomas, Werner, et al.. (1998). Detection of biomass burning combustion products in southeast Asia from backscatter measurements taken by the GOME spectrometer. elib (German Aerospace Center). 1 indexed citations
18.
Loyola, Diego, W. Balzer, Michael Bittner, et al.. (1997). Ground segment for ERS-2 GOME sensor at the German D-PAF. elib (German Aerospace Center). 414. 591–596. 10 indexed citations
19.
Thomas, Werner, Wolfgang Balzer, Diego Loyola, et al.. (1996). <title>Ground segment for ERS-2 GOME sensor at the German D-PAF</title>. Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE. 2961. 107–117. 1 indexed citations
20.
Slijkhuis, Sander, et al.. (1993). A SYSTEMATIC STUDY OF IRAS SELECTED PROTOPLANETARY NEBULA CANDIDATES .1. SELECTION OF THE SAMPLE AND OBSERVATIONS OF THE SOUTHERN OBJECTS. Data Archiving and Networked Services (DANS). 100(2). 413–430. 1 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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