L. Losurdo

1.5k total citations
11 papers, 265 citations indexed

About

L. Losurdo is a scholar working on Artificial Intelligence, Radiology, Nuclear Medicine and Imaging and Computer Vision and Pattern Recognition. According to data from OpenAlex, L. Losurdo has authored 11 papers receiving a total of 265 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Artificial Intelligence, 7 papers in Radiology, Nuclear Medicine and Imaging and 4 papers in Computer Vision and Pattern Recognition. Recurrent topics in L. Losurdo's work include AI in cancer detection (7 papers), Radiomics and Machine Learning in Medical Imaging (5 papers) and Image Retrieval and Classification Techniques (4 papers). L. Losurdo is often cited by papers focused on AI in cancer detection (7 papers), Radiomics and Machine Learning in Medical Imaging (5 papers) and Image Retrieval and Classification Techniques (4 papers). L. Losurdo collaborates with scholars based in Italy and United States. L. Losurdo's co-authors include Annarita Fanizzi, Daniele La Forgia, Sabina Tangaro, Raffaella Massafra, Teresa M. A. Basile, Vittorio Didonna, U. Bottigli, R. Bellotti, Pasquale Tamborra and Alfonso Fausto and has published in prestigious journals such as BMC Bioinformatics, Medicine and BioMed Research International.

In The Last Decade

L. Losurdo

11 papers receiving 262 citations

Peers

L. Losurdo
Comparison fields: 5 of 37
  • Radiology, Nuclear Medicine and Imaging 190
  • Artificial Intelligence 163
  • Pulmonary and Respiratory Medicine 55
  • Biomedical Engineering 52
  • Cancer Research 43
Replace Lingyun Bao with:
Lingyun Bao China
Samantha Bove Italy
Luoting Zhuang United States
Eduardo Pascual Van Sant United States
Jenika Karcich United States
Ruimei Chai China
Rebecca Batiste United States
Mehmet Ufuk Dalmış Netherlands
Hanna Piotrzkowska‐Wróblewska Poland
Manuela Vecsler United States
Lingyun Bao China View profile →
Citations per field, relative to L. Losurdo
L. Losurdo · 1×
Citations per year, relative to L. Losurdo
L. Losurdo · 1×

Countries citing papers authored by L. Losurdo

Since Specialization
Citations

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

Fields of papers citing papers by L. Losurdo

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of L. Losurdo

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

All Works

11 of 11 papers shown
# Work Indexed citations
1 42
2
Role of the contrast-enhanced spectral mammography for the diagnosis of breast metastases from extramammary neoplasms.
8
3
Anaplastic large-cell periprosthetic lymphoma of the breast: could fibrin be an early radiological indicator of the presence of disease?
2
4 2
5 40
6 43
7 37
8 40
9 24
10 25
11 2

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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2026