L. Sbordone

8.1k citations
93 papers · 2.8k indexed · 1 hit paper · h-index 31

L. Sbordone

86 papers receiving 2.8k citations

Hit Papers

Common Objects in 3D: Large-Scale Learning and Evaluation...183202120262022202450100150

Peers

L. Sbordone
Comparison fields: 5 of 61
  • Instrumentation 1.1k
  • Astronomy and Astrophysics 2.5k
  • Nuclear and High Energy Physics 465
  • Computer Graphics and Computer-Aided Design 75
  • Computer Vision and Pattern Recognition 150
Replace Noam I. Libeskind with:
Noam I. Libeskind Germany
Jeremy Bailin United States
Stephen Gwyn Canada
И. Д. Караченцев Russia
Helmut Jerjen Australia
James M. Schombert United States
Dmitry Bizyaev United States
Steven Janowiecki United States
E. Shaya United States
Aaron D. Ludlow United Kingdom
L. Sbordone relative to Noam I. Libeskind Germany Noam I. Libeskind's profile →
Citations per field
00.5×4.7×
Noam I. Libeskind · 1×
Citations per year

Countries citing papers authored by L. Sbordone

Since Specialization
Citations

This map shows the geographic impact of L. Sbordone'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 L. Sbordone with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites L. Sbordone more than expected).

Fields of papers citing papers by L. Sbordone

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by L. Sbordone. 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 L. Sbordone. The network helps show where L. Sbordone may publish in the future.

Co-authorship network

The 25 scholars most cited alongside L. Sbordone, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with L. Sbordone Line = papers co-authored together L. Sbordone links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 20245
2 20242
3 20230
4 202212
5 202133
6 202116
7 20212
8 202020
9 201435
10
TOPoS: chemical study of extremely metal-poor stars.
20141
11 201230
12 2011108
13 201121
14
The lithium content of ω Centauri - new clues to the cosmological Li problem from old stars in external galaxies
201021
15 201061
16 20059
17 200512
18
Kurucz's codes under GNU-Linux
20052
19
GRB050922C: UVES/VLT high resolution spectroscopy.
20053
20
ATLAS and SYNTHE under Linux
20049

About L. Sbordone

L. Sbordone is a scholar working on Instrumentation, Astronomy and Astrophysics and Nuclear and High Energy Physics, having authored 93 papers that have together received 2.8k indexed citations. Recurring topics across this work include Stellar, planetary, and galactic studies (83 papers), Astrophysics and Star Formation Studies (46 papers), Astronomy and Astrophysical Research (43 papers), Astro and Planetary Science (22 papers), Gamma-ray bursts and supernovae (21 papers), Galaxies: Formation, Evolution, Phenomena (11 papers), Astronomical and nuclear sciences (10 papers) and Atmospheric Ozone and Climate (5 papers). The work is most often cited by research in Instrumentation (1.1k citations), Astronomy and Astrophysics (2.5k citations) and Nuclear and High Energy Physics (465 citations). L. Sbordone has collaborated with scholars based in France, Italy and Chile. Frequent co-authors include P. Bonifacio, E. Caffau, H.‐G. Ludwig, L. Monaco, S. Zaggia, M. Spite, P. François, F. Spite, J. I. Gónzalez Hernández and V. Hill. Their work appears in journals such as Nature, The Astrophysical Journal and Monthly Notices of the Royal Astronomical Society.

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.

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