Citations per year, relative to Sei‐ichiro Watanabe Sei‐ichiro Watanabe (= 1×)
peers
D. Koschny
Countries citing papers authored by Sei‐ichiro Watanabe
Since
Specialization
Citations
This map shows the geographic impact of Sei‐ichiro Watanabe'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 Sei‐ichiro Watanabe with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Sei‐ichiro Watanabe more than expected).
Fields of papers citing papers by Sei‐ichiro Watanabe
This network shows the impact of papers produced by Sei‐ichiro Watanabe. 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 Sei‐ichiro Watanabe. The network helps show where Sei‐ichiro Watanabe may publish in the future.
Co-authorship network of co-authors of Sei‐ichiro Watanabe
This figure shows the co-authorship network connecting the top 25 collaborators of Sei‐ichiro Watanabe.
A scholar is included among the top collaborators of Sei‐ichiro Watanabe 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 Sei‐ichiro Watanabe. Sei‐ichiro Watanabe is excluded from
the visualization to improve readability, since they are connected to all nodes in the network.
Hirata, Naru, Naoyuki Hirata, S. Tanaka, et al.. (2018). Initial results of shape modeling on the asteroid Ryugu from observations by Hayabusa2 for landing site selection. DPS.2 indexed citations
8.
Michel, Patrick, O. S. Barnouin, K. J. Walsh, et al.. (2018). Disruption and Reaccumulation as the Origin of the Ryugu and Bennu Top Shapes. AGUFM. 2018.1 indexed citations
9.
Watanabe, Sei‐ichiro, Yuichi Tsuda, Makoto Yoshikawa, et al.. (2017). Hayabusa2 Mission Overview. Space Science Reviews. 208(1-4). 3–16.228 indexed citations
10.
Iwata, Takahiro, K. Kitazato, Masanao Abe, et al.. (2014). Performances of Flight Model of NIRS3: the Near Infrared Spectrometer on Hayabusa-2. European Planetary Science Congress. 9.1 indexed citations
11.
Yoshikawa, Makoto, Sei‐ichiro Watanabe, Yuichi Tsuda, & Hitoshi Kuninaka. (2014). Hayabusa2 - The Next Asteroid Sample Return Mission of Japan. TRANSACTIONS OF THE JAPAN SOCIETY FOR AERONAUTICAL AND SPACE SCIENCES AEROSPACE TECHNOLOGY JAPAN. 12(ists29). Tk_29–Tk_33.10 indexed citations
12.
Jaumann, R., J. P. Bibring, K. H. Glaßmeier, et al.. (2013). A Mobile Asteroid Surface Scout (MASCOT) for the Hayabusa 2 Mission to 1999 JU3: The Scientific Approach. elib (German Aerospace Center). 2014(1719). 1500.3 indexed citations
13.
Iwata, Takahiro, K. Kitazato, Minoru Abe, et al.. (2013). Results of the Critical Design for NIRS3: The Near Infrared Spectrometer on Hayabusa-2. Lunar and Planetary Science Conference. 1908.1 indexed citations
14.
Jaumann, R., J. P. Bibring, Matthias Grott, et al.. (2013). A Mobile Asteroid Surface Scout (MASCOT) for the Hayabusa 2 Mission. elib (German Aerospace Center). 1817.1 indexed citations
Tachibana, Shogo, A. Tsuchiyama, & Sei‐ichiro Watanabe. (1999). Evaporation of Fe and FeS dust in the active stage of the primordial solar nebula, and Fe/S fractionation. Institutional Repository National Institute of Polar Research (National Institute of Polar Research (Japan)). 12. 213–242.1 indexed citations
19.
Tachibana, Shogo, A. Tsuchiyama, & Sei‐ichiro Watanabe. (1997). Incongruent Evaporation Experiments on Troilite and Its Application to Fe/S Fractionation in the Primordial Solar Nebula. LPI. 1407.1 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.