Nicola Altini

564 citations
26 papers · 343 indexed · h-index 12
Topics
Radiomics and Machine Learning in Medical Imaging (11 papers)AI in cancer detection (11 papers)Medical Image Segmentation Techniques (4 papers)
Partner nations
ItalyGermanyHungary

In The Last Decade

Nicola Altini

23 papers receiving 337 citations

Peers

Nicola Altini
Comparison fields: 5 of 76
  • Artificial Intelligence 172
  • Radiology, Nuclear Medicine and Imaging 153
  • Computer Vision and Pattern Recognition 102
  • Pulmonary and Respiratory Medicine 50
  • Biomedical Engineering 50
Replace Stavros Tsantis with:
Stavros Tsantis Greece
Tao Tan China
Vivek Natarajan United States
Keewon Shin South Korea
Ryoungwoo Jang South Korea
Rikke Rass Winkel Denmark
Xia Huang China
Tom Eelbode Belgium
Zeshan Hussain United States
Nicola Altini relative to Stavros Tsantis Greece Stavros Tsantis's profile →
Citations per field
00.5×3.5×
Stavros Tsantis · 1×
Citations per year

Countries citing papers authored by Nicola Altini

Since Specialization
Citations

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

Fields of papers citing papers by Nicola Altini

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Nicola Altini

This figure shows the co-authorship network connecting the top 25 collaborators of Nicola Altini. A scholar is included among the top collaborators of Nicola Altini based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Nicola Altini. Nicola Altini is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
#WorkIndexed citations
1 0
2 2
3 1
4 1
5 0
6 4
7 4
8 12
9 0
10 15
11 7
12 20
13 5
14 11
15 19
16 11
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20 51

About Nicola Altini

Nicola Altini is a scholar working on Radiology, Nuclear Medicine and Imaging, Artificial Intelligence and Computer Vision and Pattern Recognition, having authored 26 papers that have together received 343 indexed citations. Recurring topics across this work include Radiomics and Machine Learning in Medical Imaging (11 papers), AI in cancer detection (11 papers) and Medical Image Segmentation Techniques (4 papers). The work is most often cited by research in Health Informatics (20 citations), Radiology, Nuclear Medicine and Imaging (153 citations) and Artificial Intelligence (172 citations). Nicola Altini has collaborated with scholars based in Italy, Germany and Hungary. Frequent co-authors include Vitoantonio Bevilacqua, Antonio Brunetti, Giacomo Donato Cascarano, Domenico Buongiorno, Andrea Guerriero, Francescomaria Marino, Loreto Gesualdo, Francesco Pesce, Michele Rossini and Simona De Summa. Their work appears in journals such as Sensors, Neurocomputing and Applied Sciences.

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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