D. Di Croce

26.5k total citations
14 papers, 75 citations indexed

About

D. Di Croce is a scholar working on Nuclear and High Energy Physics, Surgery and Infectious Diseases. According to data from OpenAlex, D. Di Croce has authored 14 papers receiving a total of 75 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Nuclear and High Energy Physics, 3 papers in Surgery and 2 papers in Infectious Diseases. Recurrent topics in D. Di Croce's work include Particle physics theoretical and experimental studies (4 papers), Particle Detector Development and Performance (4 papers) and Orthopaedic implants and arthroplasty (3 papers). D. Di Croce is often cited by papers focused on Particle physics theoretical and experimental studies (4 papers), Particle Detector Development and Performance (4 papers) and Orthopaedic implants and arthroplasty (3 papers). D. Di Croce collaborates with scholars based in Switzerland, Italy and Belgium. D. Di Croce's co-authors include Tomaso Villa, Maren Freutel, Fabio Galbusera, Bernardo Innocenti, Valerio Sansone, Silvia Pianigiani, G. Blanchot, J. De Clercq, P. Baesso and I. Makarenko and has published in prestigious journals such as SHILAP Revista de lepidopterología, Physical review. D and Frontiers in Bioengineering and Biotechnology.

In The Last Decade

D. Di Croce

10 papers receiving 74 citations

Peers

D. Di Croce
Lacy Malloch United States
Omar Rahman United States
Morgan Bailey United Kingdom
Andrew K. Battenberg United States
D. Di Croce
Citations per year, relative to D. Di Croce D. Di Croce (= 1×) peers Trevor Stone

Countries citing papers authored by D. Di Croce

Since Specialization
Citations

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

Fields of papers citing papers by D. Di Croce

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by D. Di Croce. 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 D. Di Croce. The network helps show where D. Di Croce may publish in the future.

Co-authorship network of co-authors of D. Di Croce

This figure shows the co-authorship network connecting the top 25 collaborators of D. Di Croce. A scholar is included among the top collaborators of D. Di Croce 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 D. Di Croce. D. Di Croce is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

14 of 14 papers shown
1.
Croce, D. Di, M. Giovannozzi, Ekaterina Krymova, et al.. (2024). Optimizing dynamic aperture studies with active learning. Journal of Instrumentation. 19(4). P04004–P04004. 1 indexed citations
2.
Croce, D. Di, et al.. (2024). Accelerating Dynamic Aperture Evaluation Using Deep Neural Networks. Journal of Physics Conference Series. 2687(6). 62032–62032. 2 indexed citations
3.
Cameron, David, et al.. (2024). All grown-up; 18 years of LHC@home. SHILAP Revista de lepidopterología. 295. 4004–4004.
5.
Bai, Francesca, Maria Mazzitelli, Umberto Restelli, et al.. (2023). Cost analysis of dalbavancin versus standard of care for the treatment of acute bacterial skin and skin structure infections (ABSSSIs) in two Italian hospitals. JAC-Antimicrobial Resistance. 5(2). 4 indexed citations
6.
Andrews, Michael Benjamin, B. Burkle, Yu Chen, et al.. (2022). End-to-end jet classification of boosted top quarks with the CMS open data. Physical review. D. 105(5). 2 indexed citations
7.
Papalois, Vassilios, Camille N. Kotton, Klemens Budde, et al.. (2022). Impact of COVID-19 on Global Kidney Transplantation Service Delivery: Interim Report. Transplant International. 35. 10302–10302. 2 indexed citations
8.
Andrews, Michael Benjamin, B. Burkle, D. Di Croce, et al.. (2021). Accelerating End-to-End Deep Learning for Particle Reconstruction using CMS open data. SHILAP Revista de lepidopterología. 251. 3057–3057.
9.
Blanchot, G., D. Di Croce, P. Baesso, et al.. (2020). A High Throughput Production Scale Front-End Hybrid Test System for the CMS Phase-2 Tracker Upgrade. CERN Document Server (European Organization for Nuclear Research). 82–82. 5 indexed citations
10.
Pianigiani, Silvia, et al.. (2019). Sensitivity analysis of the material properties of different soft-tissues: implications for a subject-specific knee arthroplasty. Muscles Ligaments and Tendons Journal. 7(4). 546–546. 2 indexed citations
11.
Pianigiani, Silvia, et al.. (2016). ARE MRIs NECESSARY TO DEVELOP SUBJECT-SPECIFIC CARTILAGE AND MENISCI GEOMETRIES FOR SUBJECT-SPECIFIC KNEE MODELS?. Journal of Mechanics in Medicine and Biology. 17(3). 1750049–1750049. 3 indexed citations
12.
Galbusera, Fabio, Maren Freutel, D. Di Croce, et al.. (2014). Material Models and Properties in the Finite Element Analysis of Knee Ligaments: A Literature Review. Frontiers in Bioengineering and Biotechnology. 2. 54–54. 53 indexed citations
13.
Foglia, Emanuela, D. Di Croce, Adriano Lazzarin, et al.. (2014). Monoterapia con PI/r e terapie standard a confronto: quale impatto per Regione Lombardia?.
14.
Croce, D. Di, Giuseppe Banfi, Alberto Braghiroli, et al.. (2006). Il costo delle malattie: valutazione dell'impatto della sindrome da apnea ostruttiva nel sonno sull'economia italiana. 26–43. 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.

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