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 abundances of constituents of Titan's atmosphere from the GCMS instrument on the Huygens probe
2005694 citationsH. Niemann, S. K. Atreya et al.Natureprofile →
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 E. Raaen'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 E. Raaen with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites E. Raaen more than expected).
This network shows the impact of papers produced by E. Raaen. 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 E. Raaen. The network helps show where E. Raaen may publish in the future.
Co-authorship network of co-authors of E. Raaen
This figure shows the co-authorship network connecting the top 25 collaborators of E. Raaen.
A scholar is included among the top collaborators of E. Raaen 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 E. Raaen. E. Raaen is excluded from
the visualization to improve readability, since they are connected to all nodes in the network.
All Works
12 of 12 papers shown
1.
Millán, M., C. A. Malespin, Caroline Freissinet, et al.. (2019). Lessons Learned from the Full Cup Wet Chemistry Experiment Performed on Mars with the Sample Analysis at Mars Instrument. SPIRE - Sciences Po Institutional REpository. 2089. 6210.3 indexed citations
2.
Millán, M., C. A. Malespin, Caroline Freissinet, et al.. (2019). Lessons Learned from the First Full Cup Wet Chemistry Experiment Performed on Mars with the Sample Analysis at Mars Instrument. SPIRE - Sciences Po Institutional REpository. 2873.1 indexed citations
3.
Franz, H. B., M. G. Trainer, C. A. Malespin, et al.. (2017). Revised 40Ar/14N for the Martian Atmosphere Based on SAM Calibration Gas Cell Results. LPI. 1449.1 indexed citations
Mahaffy, P. R., R. R. Hodges, D. N. Harpold, et al.. (2012). Calibration of the Neutral Mass Spectrometer for the Lunar Atmosphere and Dust Environment Explorer (LADEE) Mission. Lunar and Planetary Science Conference. 2144.1 indexed citations
7.
Franz, H. B., P. R. Mahaffy, W. T. Kasprzak, Eric Lyness, & E. Raaen. (2011). Measuring Sulfur Isotope Ratios from Solid Samples with the Sample Analysis at Mars Instrument and the Effects of Dead Time Corrections. NASA STI Repository (National Aeronautics and Space Administration). 2800.2 indexed citations
Niemann, H., S. K. Atreya, J. Haberman, et al.. (2006). In Situ Measurements of the Composition of Titan's Atmosphere. 36. 2554.1 indexed citations
10.
Niemann, H., J. Demick, J. Haberman, et al.. (2005). Cassini-Huygens Probe Gas Chromatograph Mass Spectrometer (GCMS) Experiment -- First Results. 36th Annual Lunar and Planetary Science Conference. 1663.2 indexed citations
11.
Niemann, H., S. K. Atreya, S. J. Bauer, et al.. (2005). The abundances of constituents of Titan's atmosphere from the GCMS instrument on the Huygens probe. Nature. 438(7069). 779–784.694 indexed citations breakdown →
12.
Niemann, H., J. Demick, J. Haberman, et al.. (2005). The Gas Chromatograph Mass Spectrometer (GCMS) Experiment on the Cassini-Huygens Probe: First Results. NASA Technical Reports Server (NASA).2 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.