B Rizzi

599 citations
24 papers · 340 · h-index 10

Impact in

  • Biophysics top 5%
    • Cell Image Analysis Techniques
    • Advanced Fluorescence Microscopy Techniques
    • Venous Thromboembolism Diagnosis and Management

Papers in

B Rizzi

24 papers receiving 333 citations

Peers

B Rizzi
Comparison fields: 5 of 81
  • Biophysics 106
  • Internal Medicine 29
  • Developmental Neuroscience 21
  • Cell Biology 66
  • Critical Care and Intensive Care Medicine 13
Replace Peter Stevenson with:
Peter Stevenson United Kingdom
Martin Čapek Czechia
Jianguo Rao United Kingdom
J.-C. Olivo Germany
Akanksha Jain India
Deborah Schmidt Germany
Jingu Lee South Korea
Alen Tosenberger France
Jasmine Plummer United States
M.J.B. Stallmeyer United States
B Rizzi relative to Peter Stevenson United Kingdom Peter Stevenson's profile →
Citations per field
00.5×3.7×
Peter Stevenson · 1×
Citations per year

Countries citing papers authored by B Rizzi

Since Specialization
Citations

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

Fields of papers citing papers by B Rizzi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 24 papers — load more, or switch the sort, to bring in the rest.

#Work
1 200967
2 201547
3
The utility and cost-effectiveness of D-dimer measurements in the diagnosis of deep vein thrombosis.
199735
4 200728
5 201025
6 201418
7 201817
8 201716
9 201614
10 202014
11 19988
12 20077
13 20137
14 20206
15 20216
16 20076
17 20096
18 20083
19 20232
20 20242

About B Rizzi

B Rizzi is a scholar working on Biophysics, Molecular Biology, Computer Vision and Pattern Recognition, Cell Biology and Surgery, having authored 24 papers that have together received 340 indexed citations. Recurring topics across this work include Cell Image Analysis Techniques (10 papers), Medical Image Segmentation Techniques (6 papers), Developmental Biology and Gene Regulation (3 papers), Venous Thromboembolism Diagnosis and Management (2 papers), Central Venous Catheters and Hemodialysis (2 papers), Cellular Mechanics and Interactions (2 papers), Intensive Care Unit Cognitive Disorders (2 papers) and Zebrafish Biomedical Research Applications (2 papers). The work is most often cited by research in Biophysics (106 citations), Internal Medicine (29 citations), Developmental Neuroscience (21 citations), Cell Biology (66 citations) and Critical Care and Intensive Care Medicine (13 citations). B Rizzi has collaborated with scholars based in Italy, France and Slovakia. Frequent co-authors include Nadine Peyriéras, Alessandro Sarti, Karol Mikula, Paul Bourgine, Angela Recchia, Alessandro Nobili, Luca Pasina, Guido Sanguinetti, Pierre Affaticati and L. Crippa. Their work appears in journals such as Scientific Reports, Acta Paediatrica, PLoS Computational Biology, European Journal of Clinical Pharmacology and IEEE Transactions on Image Processing.

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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