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.
XMM-Newton observatory
20011.4k citationsD. Lumb, C. Gabriel et al.profile →
Peers — A (Enhanced Table)
Peers by citation overlap · career bar shows stage (early→late)
cites ·
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Countries citing papers authored by Giuseppe Vacanti
Since
Specialization
Citations
This map shows the geographic impact of Giuseppe Vacanti'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 Giuseppe Vacanti with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Giuseppe Vacanti more than expected).
Fields of papers citing papers by Giuseppe Vacanti
This network shows the impact of papers produced by Giuseppe Vacanti. 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 Giuseppe Vacanti. The network helps show where Giuseppe Vacanti may publish in the future.
Co-authorship network of co-authors of Giuseppe Vacanti
This figure shows the co-authorship network connecting the top 25 collaborators of Giuseppe Vacanti.
A scholar is included among the top collaborators of Giuseppe Vacanti 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 Giuseppe Vacanti. Giuseppe Vacanti is excluded from
the visualization to improve readability, since they are connected to all nodes in the network.
Vacanti, Giuseppe, Marcelo Ackermann, Coen van Baren, et al.. (2011). Silicon pore optics for astrophysical missions. Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE. 8147. 81470F–81470F.4 indexed citations
8.
Bavdaz, Marcos, D. Lumb, E. Buis, et al.. (2008). Large effective area high angular resolution x-ray optics. Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE. 7011. 701109–701109.2 indexed citations
Gabriel, C., et al.. (2004). The XMM-Newton SAS - Distributed Development and Maintenance of a Large Science Analysis System: A Critical Analysis. ASPC. 314. 759.17 indexed citations
11.
Chantell, M., P. Fleury, A. D. Kerrick, et al.. (1995). The Use of a UV Camera in the Atmospheric Cerenkov Technique. International Cosmic Ray Conference. 2. 560.1 indexed citations
12.
Jiang, Yue, P. Fleury, D. A. Lewis, et al.. (1993). Absolute Calibration of an Atmospheric Cherenkov Telescope Using Muon Ring Images. 4. 662.3 indexed citations
13.
Vacanti, Giuseppe, et al.. (1992). Towards a Major Atmospheric Cerenkov Detector for TeV Astro/particle Physics.4 indexed citations
14.
Fleury, P., E. Paré, M. Urban, et al.. (1991). Čerenkov ring images of cosmic ray muons.. International Cosmic Ray Conference. 2(2). 595–598.1 indexed citations
15.
Goret, P., I. A. Grenier, N. Pétrou, et al.. (1991). ASGAT: A Fast Timing VHE Gamma-Ray Telescope. International Cosmic Ray Conference. 2. 630.2 indexed citations
16.
Urban, M., P. Goret, E. Paré, et al.. (1991). Antimatter Research Through the Earth Moon Ion Spectrometer. ICRC. 2. 189.
17.
Paré, E., M. Urban, P. Fleury, et al.. (1991). Image Shapes of Showers in UV and Visible Cherenkov Light. International Cosmic Ray Conference. 1. 492.
Cawley, M. F., D. J. Fegan, K. Gibbs, et al.. (1989). Detection of TeV Gamma Rays from the Crab Nebula using the Atmospheric Cherenkov Imaging Technique. 19. 156.
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.