F. Del Corso

3.5k citations
12 papers · 115 · h-index 5

Impact in

  • Urology top 5%
    • Urinary Bladder and Prostate Research
    • Urological Disorders and Treatments
    • Pelvic floor disorders treatments

Papers in

F. Del Corso

9 papers receiving 112 citations

Peers

F. Del Corso
Comparison fields: 5 of 36
  • Urology 72
  • Rheumatology 35
  • Pathology and Forensic Medicine 22
  • Endocrine and Autonomic Systems 3
  • Sensory Systems 2
Replace Cristina Esposito with:
Cristina Esposito Italy
Tilemachos Kavvadias Switzerland
Bertie Geng United States
Karsten Jablonka Germany
A. V. Vardanyan Russia
L. Fertitta France
Azhar Khan United Kingdom
Nam Lee South Korea
Jenny Rex Australia
Cesare Betti Italy
F. Del Corso relative to Cristina Esposito Italy Cristina Esposito's profile →
Citations per field
00.5×8.8×
Cristina Esposito · 1×
Citations per year

Countries citing papers authored by F. Del Corso

Since Specialization
Citations

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

Fields of papers citing papers by F. Del Corso

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by F. Del Corso. 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 F. Del Corso. The network helps show where F. Del Corso may publish in the future.

Co-authors

The 25 scholars most cited alongside F. Del Corso, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with F. Del Corso Line = papers co-authored together F. Del Corso links everyone, so they are left out of the graph.

All Works

12 of 12 papers shown
#Work
1 201440
2 200836
3 201317
4 20068
5 20225
6 20134
7 20142
8 20221
9 20111
10 20021
11 20240
12 20160

About F. Del Corso

F. Del Corso is a scholar working on Urology, Information Systems, Computer Vision and Pattern Recognition, Pharmacology and Pathology and Forensic Medicine, having authored 12 papers that have together received 115 indexed citations. Recurring topics across this work include Urinary Bladder and Prostate Research (5 papers), Image and Object Detection Techniques (2 papers), Superconducting and THz Device Technology (1 paper), Artificial Intelligence in Healthcare (1 paper), Advanced Clustering Algorithms Research (1 paper), Dark Matter and Cosmic Phenomena (1 paper), Transcranial Magnetic Stimulation Studies (1 paper) and Neutrino Physics Research (1 paper). The work is most often cited by research in Urology (72 citations), Rheumatology (35 citations), Pathology and Forensic Medicine (22 citations), Endocrine and Autonomic Systems (3 citations) and Sensory Systems (2 citations). F. Del Corso has collaborated with scholars based in Italy and United States. Frequent co-authors include Giulio Del Popolo, Stefania Musco, Maria Celso, G. de Scisciolo, Giuseppe Lombardi, Anna Maria Ierardi, A. Gabrielli, F. Alfonsi, Francesco Pinto and M. Beretta. Their work appears in journals such as Spinal Cord, Clinical Neurophysiology, The Journal of Urology, Neurological Sciences and Sensors.

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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