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 ·
hero ref
This map shows the geographic impact of G. Israël'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 G. Israël with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites G. Israël more than expected).
This network shows the impact of papers produced by G. Israël. 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 G. Israël. The network helps show where G. Israël may publish in the future.
Co-authorship network of co-authors of G. Israël
This figure shows the co-authorship network connecting the top 25 collaborators of G. Israël.
A scholar is included among the top collaborators of G. Israël 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 G. Israël. G. Israël is excluded from
the visualization to improve readability, since they are connected to all nodes in the network.
Raulin, F., G. Israël, H. Niemann, et al.. (2005). The astrobiological aspects of Titan: A new vision from Cassini-Huygens. Geochimica et Cosmochimica Acta Supplement. 69(10).2 indexed citations
5.
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 →
6.
Coll, P., R. Navarro‐González, Fabien Stalport, et al.. (2004). Thermal properties of biogenic and nonbiogenic carbonates: implications for the search for life on Mars. ESASP. 545. 183–184.1 indexed citations
7.
Brinckerhoff, W. B., P. R. Mahaffy, M. Cabane, et al.. (2003). Sample Analysis at Mars. 3030.4 indexed citations
8.
Cabane, M., P. Coll, G. Israël, et al.. (2002). Organic and inorganic signatures in Mars ground and underground, one of the goals for "SAM" (Sample Analysis at Mars). ESASP. 518. 323–326.1 indexed citations
Niemann, H., S. K. Atreya, S. J. Bauer, et al.. (1997). The Gas Chromatograph Mass Spectrometer Aboard Huygens. ESASP. 1177. 85.23 indexed citations
15.
Cabane, M., et al.. (1997). Microphysical Models of Titan's Aerosols. 1177. 339.1 indexed citations
16.
Cabane, M., P. Rannou, Éric Chassefière, & G. Israël. (1993). Fractal aggregates in Titan's atmosphere. Planetary and Space Science. 41(4). 257–267.83 indexed citations
17.
Israël, G., Éric Chassefière, Hasso B. Niemann, et al.. (1992). Huygens/ACP: An instrument for aerosols chemical composition measurements. NASA Technical Reports Server (NASA). 338. 225–228.2 indexed citations
Israël, G., M. Cabane, F. Raulin, Éric Chassefière, & Jaap J. Boon. (1991). Aerosols in Titan's atmosphere : models, sampling techniques and chemical analysis. Annales Geophysicae. 9(1). 1–13.105 indexed citations
20.
Cabane, M., Éric Chassefière, & G. Israël. (1990). Modelling of Titan's Aerosols Including Electrical Charge Effects. Bulletin of the American Astronomical Society. 22. 1086.4 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.