Matteo De Simone

572 citations
32 papers · 338 · h-index 11

Impact in

Papers in

    • Head and Neck Surgical Oncology 3
    • Surgical Simulation and Training 1
    • Intracerebral and Subarachnoid Hemorrhage Research 2
    • Traumatic Brain Injury and Neurovascular Disturbances 1

Matteo De Simone

28 papers receiving 325 citations

Peers

Matteo De Simone
Comparison fields: 5 of 73
  • Neurology 53
  • Computer Vision and Pattern Recognition 78
  • Genetics 36
  • Otorhinolaryngology 14
  • Experimental and Cognitive Psychology 22
Replace Santiago Santa Cruz Ruíz with:
Santiago Santa Cruz Ruíz Spain
K Wassermann Germany
Michael Tran Duong United States
Lucy Ellis United Kingdom
Sonya Wang United States
Jason A. Beyea Canada
Ingrida Ulozienė Lithuania
Yuanyuan Dang China
Ungsoo Samuel Kim South Korea
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Citations per field
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Citations per year

Countries citing papers authored by Matteo De Simone

Since Specialization
Citations

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

Fields of papers citing papers by Matteo De Simone

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Matteo De Simone. 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 Matteo De Simone. The network helps show where Matteo De Simone may publish in the future.

Co-authors

The 25 scholars most cited alongside Matteo De Simone, 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 Matteo De Simone Line = papers co-authored together Matteo De Simone links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 32 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201364
2 202329
3 202328
4 199728
5 201224
6 202420
7 202419
8 202415
9 202415
10 202412
11 201210
12 20249
13 20249
14 20238
15 20248
16
[The Bochdalek hernia in the adult: case report and review of the literature].
20046
17
Recognizing human motion using eigensequences
20075
18 20244
19 20144
20 20104

About Matteo De Simone

Matteo De Simone is a scholar working on Surgery, Neurology, Epidemiology, Computer Vision and Pattern Recognition and Molecular Biology, having authored 32 papers that have together received 338 indexed citations. Recurring topics across this work include Meningioma and schwannoma management (5 papers), Face recognition and analysis (4 papers), Spine and Intervertebral Disc Pathology (3 papers), Head and Neck Surgical Oncology (3 papers), Glioma Diagnosis and Treatment (3 papers), Intracerebral and Subarachnoid Hemorrhage Research (2 papers), Surgical Simulation and Training (1 paper) and Traumatic Brain Injury and Neurovascular Disturbances (1 paper). The work is most often cited by research in Neurology (53 citations), Computer Vision and Pattern Recognition (78 citations), Genetics (36 citations), Otorhinolaryngology (14 citations) and Experimental and Cognitive Psychology (22 citations). Matteo De Simone has collaborated with scholars based in Italy, France and Switzerland. Frequent co-authors include A. Bottino, Aldo Laurentini, Lucio De Maria, Giorgio İaconetta, Valeria Conti, Chiarella Sforza, Michele Morgante, Adriano Marocco, Paolo Parrini and Margherita Lucchin. Their work appears in journals such as Journal of Clinical Medicine, Biomedicines, Journal of Personalized Medicine, Clinical Neurology and Neurosurgery and The Visual Computer.

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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