U. Bottigli

8.4k citations
84 papers · 868 indexed · h-index 16

U. Bottigli

80 papers receiving 832 citations

Peers

U. Bottigli
Comparison fields: 5 of 86
  • Radiation 230
  • Radiology, Nuclear Medicine and Imaging 363
  • Nuclear and High Energy Physics 177
  • Artificial Intelligence 224
  • Biomedical Engineering 258
Replace P. Delogu with:
P. Delogu Italy
Junli Li China
L. Tavora Portugal
P. Cerello Italy
Hao Peng United States
D. Bollini Italy
M. Caccia Italy
R. Wojcik United States
G. Tzanakos Greece
Mauro Tambasco Canada
U. Bottigli relative to P. Delogu Italy P. Delogu's profile →
Citations per field
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P. Delogu · 1×
Citations per year

Countries citing papers authored by U. Bottigli

Since Specialization
Citations

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

Fields of papers citing papers by U. Bottigli

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 202042
2 201940
3 201943
4 20117
5 20115
6 20071
7
Mass lesion detection in mammographic images using Haralik textural features
20061
8 20066
9 200626
10
DISSIMILARITY APPLICATION FOR MEDICAL IMAGING CLASSIFICATION
20052
11 200427
12 20032
13 20015
14
IMAGING PERFORMANCE OF A GAAS PIXEL DETECTOR
19992
15 19987
16
A project for digital mammography based on a GaAs pixel detector and on a self-triggering single photon counting acquisition system
19974
17
Neural network expert system for screening coronary heart disease
19931
18 199215
19 19841
20 198333

About U. Bottigli

U. Bottigli is a scholar working on Radiation, Nuclear and High Energy Physics, Radiology, Nuclear Medicine and Imaging, Pulmonary and Respiratory Medicine and Structural Biology, having authored 84 papers that have together received 868 indexed citations. Recurring topics across this work include Advanced X-ray and CT Imaging (26 papers), Digital Radiography and Breast Imaging (25 papers), Medical Imaging Techniques and Applications (21 papers), Particle Detector Development and Performance (19 papers), AI in cancer detection (16 papers), Radiation Detection and Scintillator Technologies (12 papers), Radiomics and Machine Learning in Medical Imaging (9 papers) and Advanced X-ray Imaging Techniques (7 papers). The work is most often cited by research in Radiation (230 citations), Radiology, Nuclear Medicine and Imaging (363 citations), Nuclear and High Energy Physics (177 citations), Artificial Intelligence (224 citations) and Biomedical Engineering (258 citations). U. Bottigli has collaborated with scholars based in Italy, Switzerland and Australia. Frequent co-authors include Bruno Golosio, Sabina Tangaro, Maria Evelina Fantacci, S. Stumbo, P. Oliva, P. Delogu, A. Stefanini, E. Bertolucci, V. Rosso and R. Bellotti. Their work appears in journals such as Nuclear Instruments and Methods in Physics Research Section A Accelerators Spectrometers Detectors and Associated Equipment, IEEE Transactions on Nuclear Science, Physica Medica, Medical Physics and Optics Express.

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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