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.
Computed tomography for dimensional metrology
2011512 citationsSimone Carmignato, Leonardo De Chiffre et al.CIRP Annalsprofile →
Industrial applications of computed tomography
2014451 citationsLeonardo De Chiffre, Simone Carmignato et al.CIRP Annalsprofile →
Peers — A (Enhanced Table)
Peers by citation overlap · career bar shows stage (early→late)
cites ·
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Countries citing papers authored by Leonardo De Chiffre
Since
Specialization
Citations
This map shows the geographic impact of Leonardo De Chiffre'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 Leonardo De Chiffre with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Leonardo De Chiffre more than expected).
Fields of papers citing papers by Leonardo De Chiffre
This network shows the impact of papers produced by Leonardo De Chiffre. 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 Leonardo De Chiffre. The network helps show where Leonardo De Chiffre may publish in the future.
Co-authorship network of co-authors of Leonardo De Chiffre
This figure shows the co-authorship network connecting the top 25 collaborators of Leonardo De Chiffre.
A scholar is included among the top collaborators of Leonardo De Chiffre 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 Leonardo De Chiffre. Leonardo De Chiffre is excluded from
the visualization to improve readability, since they are connected to all nodes in the network.
All Works
20 of 20 papers shown
1.
Chiffre, Leonardo De, et al.. (2023). A novel energy resolved X-ray computed tomography instrument for aviation security: Preliminary metrological investigation. Technical University of Denmark, DTU Orbit (Technical University of Denmark, DTU).
Tiedje, Niels Skat, et al.. (2016). Traceability of Height Measurements on Green Sand Molds using Optical 3D Scanning.1 indexed citations
9.
Chiffre, Leonardo De, et al.. (2015). Dimensional measurements with submicrometer uncertainty in production environment. Technical University of Denmark, DTU Orbit (Technical University of Denmark, DTU).3 indexed citations
Carli, Lorenzo De, Leonardo De Chiffre, Hans Nørgaard Hansen, A. Horsewell, & Kai Dirscherl. (2010). 3D-SEM Metrology for Coordinate Measurements at the Nanometer Scale.7 indexed citations
12.
Hansen, Hans Nørgaard, et al.. (2008). Tolerancing issues in micro manufacturing. Technical University of Denmark, DTU Orbit (Technical University of Denmark, DTU).
Chiffre, Leonardo De & Walter Belluco. (2002). Investigations of cutting fluid performance using different machining operations. Technical University of Denmark, DTU Orbit (Technical University of Denmark, DTU). 58(10). 18–25.37 indexed citations
15.
Chiffre, Leonardo De, et al.. (2001). An Investigation of Reaming Test Parameters Used for Cutting Fluid Evaluations. Technical University of Denmark, DTU Orbit (Technical University of Denmark, DTU). 58(7). 24–28.4 indexed citations
Hansen, Hans Nørgaard, et al.. (1999). Surface Characterization of Oral Implants. Clinical Oral Implants Research. 10(2). 172–172.2 indexed citations
19.
Chiffre, Leonardo De. (1988). Function of cutting fluids in machining. Technical University of Denmark, DTU Orbit (Technical University of Denmark, DTU).15 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.