M. Peroni

1.8k citations
36 papers · 1.0k · 1 hit paper · h-index 15

Impact in

Papers in

M. Peroni

36 papers receiving 992 citations

M. Peroni's Hit Papers

Vision 20/20: Perspectives on automated image segmentation for radiotherapy 2014 · 284 citations
2840+4+8Years since publication50100150200250

Peers

M. Peroni
Comparison fields: 5 of 78
  • Radiation 660
  • Radiology, Nuclear Medicine and Imaging 682
  • Pulmonary and Respiratory Medicine 410
  • Otorhinolaryngology 52
  • Health Informatics 13
Replace Rolf Bendl with:
Rolf Bendl Germany
Joseph Harms United States
Hui Yan China
Maarten L.P. Dirkx Netherlands
Vasant Kearney United States
Justin Roper United States
Choonik Lee United States
James Lamb United States
Mu‐Han Lin United States
Victoria Yu United States
M. Peroni relative to Rolf Bendl Germany Rolf Bendl's profile →
Citations per field
00.5×3.5×
Rolf Bendl · 1×
Citations per year

Countries citing papers authored by M. Peroni

Since Specialization
Citations

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

Fields of papers citing papers by M. Peroni

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 36 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Vision 20/20: Perspectives on automated image segmentation for radiotherapy
Hit paper breakdown →
2014284
2 201497
3 201896
4 201263
5 201256
6 201650
7 201744
8 201628
9 202027
10 201426
11 201726
12 201824
13 201320
14 201319
15 201215
16 201814
17 202014
18 202312
19 202012
20 201310

About M. Peroni

M. Peroni is a scholar working on Radiation, Radiology, Nuclear Medicine and Imaging, Pulmonary and Respiratory Medicine, Computer Vision and Pattern Recognition and Biomedical Engineering, having authored 36 papers that have together received 1.0k indexed citations. Recurring topics across this work include Advanced Radiotherapy Techniques (22 papers), Medical Imaging Techniques and Applications (13 papers), Radiation Therapy and Dosimetry (10 papers), Medical Image Segmentation Techniques (8 papers), Medical Imaging and Analysis (5 papers), Radiomics and Machine Learning in Medical Imaging (5 papers), Atomic and Subatomic Physics Research (3 papers) and AI in cancer detection (3 papers). The work is most often cited by research in Radiation (660 citations), Radiology, Nuclear Medicine and Imaging (682 citations), Pulmonary and Respiratory Medicine (410 citations), Otorhinolaryngology (52 citations) and Health Informatics (13 citations). M. Peroni has collaborated with scholars based in Italy, Switzerland and United States. Frequent co-authors include G Sharp, Karl Fritscher, G. Baroni, Nadya Shusharina, Marco Riboldi, Harini Veeraraghavan, Vladimír Pekar, Jinzhong Yang, Antony Lomax and Maria Francesca Spadea. Their work appears in journals such as Medical Physics, Radiotherapy and Oncology, Technology in Cancer Research & Treatment, Physics in Medicine and Biology and International Journal of Radiation Oncology*Biology*Physics.

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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