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Researcher · Istituto Tumori Bari · Italy

Daniele La Forgia

Daniele La Forgia publishes mostly in Radiology, Nuclear Medicine and Imaging, Artificial Intelligence and Pulmonary and Respiratory Medicine, on topics such as Radiomics and Machine Learning in Medical Imaging, AI in cancer detection and Breast Cancer Treatment Studies.

ORCID 0000-0002-3902-4523 OpenAlex
World rank
#362,255
of 7,710,434 ranked researchers
Rank in Italy
#9,466
of 242,206
Works
93
Citations
2k
Citations per work
21.5
h-index
27
i10-index 48Top 12% in Radiology, Nuclear Medicine and Imaging
Daniele La Forgia

What does Daniele La Forgia research?

Daniele La Forgia's work is mostly in Medicine (46%), Computer Science (14%), Biochemistry, Genetics and Molecular Biology (8%).

Health Sciences: 43 works · 45.7% of their workMedicine: 43 works · 45.7% of their workRadiology, Nuclear Medicine and Imaging: 23 works · 24.5% of their workPulmonary and Respiratory Medicine: 9 works · 10.0% of their workOncology: 7 works · 7.1% of their workPathology and Forensic Medicine: 4 works · 4.1% of their workEverything else: 29 works · 31.6% of their workPhysical Sciences: 13 works · 14.5% of their workComputer Science: 13 works · 14.5% of their workArtificial Intelligence: 13 works · 14.5% of their workLife Sciences: 8 works · 8.2% of their workBiochemistry, Genetics and Molecular Biology: 8 works · 8.2% of their workCancer Research: 8 works · 8.2% of their workTHEIR WORKDaniele La Forgia93works
Life Sciences8%Physical Sciences14%Health Sciences46%

Their six largest subfields, inside their fields and domains; the grey slice is everything else they publish. The interactive view splits every one of their works down to single topics.

The fields and subfields, with their numbers
    1. Medicine4345.7%
  2. Everything else2931.6%
    1. Computer Science1314.5%
    1. Biochemistry, Genetics and Molecular Biology88.2%
  1. 1Radiology, Nuclear Medicine and Imaging24% of their works
  2. 2Artificial Intelligence14% of their works
  3. 3Pulmonary and Respiratory Medicine10% of their works
  4. 4Cancer Research8% of their works
  5. 5Oncology7% of their works
  6. 6Pathology and Forensic Medicine4% of their works

Research topics

Which keywords describe Daniele La Forgia's research?

The keywords of their largest research topics: Machine Learning, Medical Imaging, Radiomics, Deep Learning, Medical Image Analysis, Clinical Practice Guidelines, Breast Tumours and Gene Expression.

Size is their works in the topics tagged with each word, from their 8 largest topics. Each links to the topic it comes from most. The words come from the keyword list OpenAlex gives each topic, not from the text of the papers, so a word can appear that none of the papers uses.

All 18 words, with their numbers
  1. Machine Learning732 topics
  2. Medical Imaging381 topic
  3. Radiomics381 topic
  4. Deep Learning351 topic
  5. Medical Image Analysis351 topic
  6. Clinical Practice Guidelines262 topics
  7. Breast Tumours201 topic
  8. Gene Expression201 topic
  9. Digital Mammography161 topic
  10. Mammographic Density161 topic
  11. Breast MRI131 topic
  12. Diffusion-Weighted Imaging131 topic
  13. Breast Cancer91 topic
  14. Mammography91 topic
  15. Antithrombotic Therapy61 topic
  16. Genomic Analysis61 topic
  17. Ovarian Cancer61 topic
  18. Venous Thromboembolism61 topic

Where does Daniele La Forgia work?

Daniele La Forgia's main affiliation in the publication record is Istituto Tumori Bari, Italy.

How many publications and citations does Daniele La Forgia have?

OpenAlex counts 93 works and 2,000 citations for Daniele La Forgia, an h-index of 27, ranking #362,255 of 7,710,434 researchers worldwide on the quality score.

Ranked on field-normalised citation excellence (50%), output (30%) and citations (20%). Counts come from OpenAlex author records, which occasionally merge different people who share a name or split one person into several.

Papers, co-authors, who cited this work and researchers on the nearest topics have tabs of their own, above. Is this your page? Claim it with your ORCID iD, or request a correction or removal.

Discussion

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