Francesca Manni

464 citations
21 papers · 346 · h-index 11

Impact in

    • Conducting polymers and applications
    • Transition Metal Oxide Nanomaterials
  • Biophysics top 10%
    • Spectroscopy Techniques in Biomedical and Chemical Research

Papers in

Francesca Manni

21 papers receiving 342 citations

Peers

Francesca Manni
Comparison fields: 5 of 75
  • Polymers and Plastics 108
  • Biophysics 39
  • Radiology, Nuclear Medicine and Imaging 83
  • Health Informatics 5
  • Media Technology 27
Replace Shabbir Bambot with:
Shabbir Bambot United States
Xiaoyi Lü China
Amrita Kaur India
Zhijie Liu China
Hsuan‐Ming Huang Taiwan
Jiayi Lu China
Songlin Yan China
Marta Skreta Canada
Francesca Manni relative to Shabbir Bambot United States Shabbir Bambot's profile →
Citations per field
00.5×10×13.5×
Shabbir Bambot · 1×
Citations per year

Countries citing papers authored by Francesca Manni

Since Specialization
Citations

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

Fields of papers citing papers by Francesca Manni

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 21 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201879
2 202051
3 201944
4 202224
5 202024
6 202322
7 202018
8 202014
9 202214
10 202213
11 202012
12 20199
13 20246
14 20184
15 20203
16 20193
17 20212
18 20231
19 20211
20
Neural gradient boosting in federated learning for hemodynamic instability prediction: towards a distributed and scalable deep learning-based solution.
20221

About Francesca Manni

Francesca Manni is a scholar working on Radiology, Nuclear Medicine and Imaging, Biomedical Engineering, Health Informatics, Artificial Intelligence and Biophysics, having authored 21 papers that have together received 346 indexed citations. Recurring topics across this work include Optical Imaging and Spectroscopy Techniques (8 papers), Photoacoustic and Ultrasonic Imaging (7 papers), Artificial Intelligence in Healthcare and Education (4 papers), Conducting polymers and applications (3 papers), Infrared Thermography in Medicine (3 papers), Spectroscopy Techniques in Biomedical and Chemical Research (3 papers), Organic Light-Emitting Diodes Research (2 papers) and Machine Learning in Healthcare (2 papers). The work is most often cited by research in Polymers and Plastics (108 citations), Biophysics (39 citations), Radiology, Nuclear Medicine and Imaging (83 citations), Health Informatics (5 citations) and Media Technology (27 citations). Francesca Manni has collaborated with scholars based in Netherlands, Sweden and India. Frequent co-authors include Eduardo Fabiano, Agostina Lina Capodilupo, Giuseppe Gigli, Amerigo Beneduci, Giuseppina Anna Corrente, G. Chidichimo, Caifeng Shan, Peter H. N. de With, Fons van der Sommen and Adrian Elmi‐Terander. Their work appears in journals such as Dyes and Pigments, Sensors, Chemistry of Materials, Applied Sciences and International Journal of Gynecological Cancer.

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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