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.
Impact of Coronavirus Outbreak on NO2 Pollution Assessed Using TROPOMI and OMI Observations
2020494 citationsJeroen van Gent, Ronald van der A et al.profile →
Peers — A (Enhanced Table)
Peers by citation overlap · career bar shows stage (early→late)
cites ·
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This map shows the geographic impact of Claus Zehner'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 Claus Zehner with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Claus Zehner more than expected).
This network shows the impact of papers produced by Claus Zehner. 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 Claus Zehner. The network helps show where Claus Zehner may publish in the future.
Co-authorship network of co-authors of Claus Zehner
This figure shows the co-authorship network connecting the top 25 collaborators of Claus Zehner.
A scholar is included among the top collaborators of Claus Zehner 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 Claus Zehner. Claus Zehner is excluded from
the visualization to improve readability, since they are connected to all nodes in the network.
Nemuc, Anca, Doina Nicolae, Iwona S. Stachlewska, et al.. (2019). Estimation of particulate matter concentration using SEVIRI and model data. EGU General Assembly Conference Abstracts. 14068.
Veefkind, Pepijn, Antje Ludewig, Ilse Aben, et al.. (2017). Early Results from TROPOMI on the Copernicus Sentinel 5 Precursor. AGU Fall Meeting Abstracts. 2017.2 indexed citations
Al‐Saadi, J. A. & Claus Zehner. (2011). A Geostationary Satellite Constellation for Observing Global Air Quality: Status of the CEOS Activity. AGU Fall Meeting Abstracts. 2011.1 indexed citations
Eckhardt, Sabine, Fred Prata, A. Stohl, et al.. (2009). Support for Aviation for Volcanic Ash Avoidance: SAVAA. EGU General Assembly Conference Abstracts. 10785.1 indexed citations
14.
Kroon, M., E. J. Brinksma, Dimitris Balis, et al.. (2007). VALIDATION RESULTS FROM THE JOINT ESA KNMI NIVR CALIBRATION AND VALIDATION ANNOUNCEMENT OF OPPORTUNITY FOR THE OZONE MONITORING INSTRUMENT. TU/e Research Portal.1 indexed citations
15.
Retscher, Christian, et al.. (2007). Retrieval of mesospheric sodium densities from SCIAMACHY daytime limb spectra.3 indexed citations
16.
McPeters, R. D., Bojan Bojkov, P. K. Bhartia, Ella-Maria Kyrö, & Claus Zehner. (2006). The Sodankylä Total Ozone Intercomparison and Validation Campaign (SAUNA). AGUSM. 2007.1 indexed citations
17.
Casadio, Stefano & Claus Zehner. (2005). GOME-MERIS Water Vapour Total Column Inter-Comparison on Global Scale: January-June 2003. ESASP. 597.2 indexed citations
18.
Snoeij, P., R. Koopman, P. Wursteisen, Claus Zehner, & E. Attema. (2004). The ENVISAT Atmospheric Chemistry Instrument Validation Programme. ESASP. 562.1 indexed citations
19.
O’Neill, A., Pierre-Philippe Mathieu, & Claus Zehner. (2004). Making the most of earth observation with data assimilation. CentAUR (University of Reading). 118(118). 32–38.1 indexed citations
20.
Borrell, Peter, John P. Burrows, U. Platt, & Claus Zehner. (2001). Determining tropospheric concentrations of trace gases from space. 107. 72–81.1 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.