Dayron Ramos

530 total citations
2 papers, 7 citations indexed

About

Dayron Ramos is a scholar working on Biomedical Engineering, Radiology, Nuclear Medicine and Imaging and Aerospace Engineering. According to data from OpenAlex, Dayron Ramos has authored 2 papers receiving a total of 7 indexed citations (citations by other indexed papers that have themselves been cited), including 2 papers in Biomedical Engineering, 1 paper in Radiology, Nuclear Medicine and Imaging and 1 paper in Aerospace Engineering. Recurrent topics in Dayron Ramos's work include Radiomics and Machine Learning in Medical Imaging (1 paper), Superconducting Materials and Applications (1 paper) and Particle accelerators and beam dynamics (1 paper). Dayron Ramos is often cited by papers focused on Radiomics and Machine Learning in Medical Imaging (1 paper), Superconducting Materials and Applications (1 paper) and Particle accelerators and beam dynamics (1 paper). Dayron Ramos collaborates with scholars based in Switzerland and Italy. Dayron Ramos's co-authors include S. Calatroni, M. Pasini, V. Palmieri, G. Andria, Anna Maria Lucia Lanzolla, Attilio Di Nisio, Nicola Ferrara and Filippo Attivissimo and has published in prestigious journals such as Lirias (KU Leuven).

In The Last Decade

Dayron Ramos

1 paper receiving 3 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name	h						Papers	Cites
Dayron Ramos Switzerland	1	6	6	4	2	1	2	7
Krzysztof Krzysik Poland	2	7 1.2×	5 0.8×	6 1.5×	2 1.0×		4	8
Mathieu Favre Switzerland	4	4 0.7×	7 1.2×	5 1.3×	2 1.0×	1 1.0×	7	15
J. Joseph United States	2	6 1.0×	7 1.2×	5 1.3×	3 1.5×		4	11
F. Obier Germany	2	6 1.0×	3 0.5×	6 1.5×	2 1.0×	1 1.0×	7	7
O. Etisken Türkiye	2	9 1.5×	5 0.8×	8 2.0×	3 1.5×		7	9
I.N. Okunev Russia	2	6 1.0×	7 1.2×	8 2.0×	1 0.5×		9	8
Daria Astapovych Germany	2	5 0.8×	5 0.8×	2 0.5×	1 0.5×	1 1.0×	4	7
A. Gresele Italy	2	5 0.8×	3 0.5×	3 0.8×			4	6
O. Hans Switzerland	3	8 1.3×	8 1.3×	9 2.3×	2 1.0×		7	10

Countries citing papers authored by Dayron Ramos

Since Specialization

Citations

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

Fields of papers citing papers by Dayron Ramos

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Dayron Ramos

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

All Works

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2 of 2 papers shown

1.

Ferrara, Nicola, G. Andria, Anna Maria Lucia Lanzolla, et al.. (2024). 2D and 2.5D Pancreas and Tumor Segmentation in Heterogeneous CT Images of PDAC Patients. 1–5.

2.

Calatroni, S., et al.. (2009). THE HIE-ISOLDE SUPERCONDUCTING CAVITIES: MECHANICAL DESIGN AND FABRICATION. Lirias (KU Leuven). 7 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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