Countries citing papers authored by Johan De Keyser
Since
Specialization
Citations
This map shows the geographic impact of Johan De Keyser'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 Johan De Keyser with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Johan De Keyser more than expected).
This network shows the impact of papers produced by Johan De Keyser. 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 Johan De Keyser. The network helps show where Johan De Keyser may publish in the future.
Co-authorship network of co-authors of Johan De Keyser
This figure shows the co-authorship network connecting the top 25 collaborators of Johan De Keyser.
A scholar is included among the top collaborators of Johan De Keyser 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 Johan De Keyser. Johan De Keyser is excluded from
the visualization to improve readability, since they are connected to all nodes in the network.
Edberg, N. J. T., A. I. Eriksson, E. Vigren, et al.. (2023). Scale size of cometary bow shocks. Astronomy and Astrophysics. 682. A51–A51.3 indexed citations
Maggiolo, Romain, Gaël Cessateur, W. B. Moore, et al.. (2021). The effects of cosmic rays on cometary nuclei. American Astronomical Society Meeting Abstracts. 53(1).
Dandouras, I., R. Bamford, G. Branduardi‐Raymont, et al.. (2019). Space Plasma Physics Science Opportunities for the Deep Space Gateway. EGUGA. 9690.1 indexed citations
Wurz, P., K. Altwegg, H. Balsiger, et al.. (2017). Chemical Composition of the Semi-Volatile Grains of Comet 67P/Churyumov-Gerasimenko. EGUGA. 2017. 5587.1 indexed citations
12.
Dandouras, I., M. Yamauchi, H. Rème, et al.. (2017). European SpaceCraft for the study of Atmospheric Particle Escape (ESCAPE): a mission proposed in response to the ESA M5-call. EGUGA. 5456.1 indexed citations
13.
Wurz, P., M. Rubı́n, K. Altwegg, et al.. (2015). Solar Wind sputtering from the surface of Comet Churyumov-Gerasimenko. EGUGA. 10088.3 indexed citations
14.
Bieler, A., K. Altwegg, H. Balsiger, et al.. (2015). The role of numerical models in data analysis for the Rosetta mission. EPSC.1 indexed citations
15.
Pieroux, D., et al.. (2015). Development of the Scientific Instruments for the PICASSO Mission. EGU General Assembly Conference Abstracts. 12260.1 indexed citations
16.
Roy, L. Le, K. Altwegg, Ursina Calmonte, et al.. (2014). First results at comet 67P/Churyumov-Gerasimenko from the high resolution mass spectrometer ROSINA DFMS on-board the Rosetta spacecraft. European Planetary Science Congress. 9.1 indexed citations
17.
Darrouzet, F., Natalia Ganushkina, S. Benck, et al.. (2013). Links between the plasmapause and the radiation belts boundaries as observed by the instruments CIS, RAPID and WHISPER onboard Cluster. EGU General Assembly Conference Abstracts. 40. 4128.2 indexed citations
18.
Darrouzet, F., et al.. (2012). Links between the plasmapause and the radiation belt boundaries from Cluster measurements. EGUGA. 8956.1 indexed citations
19.
Hässig, M., K. Altwegg, H. Balsiger, et al.. (2011). Investigation of spacecraft outgassing by sensitive mass spectrometry. Bern Open Repository and Information System (University of Bern).2 indexed citations
20.
Jäckel, A., K. Altwegg, H. Balsiger, et al.. (2011). Neutral molecular beam measurements with the Rosetta ROSINA-RTOF instrument. 2011. 975.
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.