Giulia Sedda

44 papers receiving 568 citations

Peers

Giulia Sedda
Comparison fields: 5 of 88
  • Sensory Systems 45
  • Bioengineering 37
  • Biomedical Engineering 286
  • Pulmonary and Respiratory Medicine 196
  • Spectroscopy 87
Replace Armands Sīviņš with:
Armands Sīviņš Latvia
Kevin Lamote Belgium
Giulia Mantini Italy
Ivars Tolmanis Latvia
Hiang Ping Chan Singapore
Alfred Haidenberger Germany
Giovanni Galluccio Italy
Christoph Grabmer Austria
Inbar Nardi Agmon Israel
Ran Kremer Israel
Giulia Sedda relative to Armands Sīviņš Latvia Armands Sīviņš's profile →
Citations per field
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Citations per year

Countries citing papers authored by Giulia Sedda

Since Specialization
Citations

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

Fields of papers citing papers by Giulia Sedda

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 46 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2016122
2 201973
3 201733
4 202227
5 202127
6 202024
7 201923
8 202022
9 202022
10 202320
11 201918
12 201915
13 202013
14 202012
15 202211
16 20229
17 20219
18 20218
19 20227
20 20237

About Giulia Sedda

Giulia Sedda is a scholar working on Pulmonary and Respiratory Medicine, Biomedical Engineering, Surgery, Oncology and Radiology, Nuclear Medicine and Imaging, having authored 46 papers that have together received 578 indexed citations. Recurring topics across this work include Lung Cancer Diagnosis and Treatment (23 papers), Advanced Chemical Sensor Technologies (9 papers), Lung Cancer Treatments and Mutations (7 papers), Radiomics and Machine Learning in Medical Imaging (6 papers), Pleural and Pulmonary Diseases (5 papers), Insect Pheromone Research and Control (5 papers), Gas Sensing Nanomaterials and Sensors (5 papers) and Lung Cancer Research Studies (4 papers). The work is most often cited by research in Sensory Systems (45 citations), Bioengineering (37 citations), Biomedical Engineering (286 citations), Pulmonary and Respiratory Medicine (196 citations) and Spectroscopy (87 citations). Giulia Sedda has collaborated with scholars based in Italy, Canada and France. Frequent co-authors include Lorenzo Spaggiari, Roberto Gasparri, Francesco Petrella, Patrick Maisonneuve, Pietro Cerveri, Luca Mainardi, Monica Casiraghi, Luca Bertolaccini, Domenico Galetta and Alessandro Borri. Their work appears in journals such as Journal of Clinical Medicine, Journal of Breath Research, The Thoracic and Cardiovascular Surgeon, Frontiers in Oncology and Journal of Thoracic Oncology.

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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