Ferdinand Buonanno

1.2k citations
17 papers · 903 indexed · h-index 12
Topics
Advanced MRI Techniques and Applications (6 papers)Acute Ischemic Stroke Management (3 papers)Radiomics and Machine Learning in Medical Imaging (2 papers)

In The Last Decade

Ferdinand Buonanno

17 papers receiving 842 citations

Peers

Ferdinand Buonanno
Comparison fields: 5 of 96
  • Radiology, Nuclear Medicine and Imaging 338
  • Epidemiology 282
  • Neurology 244
  • Pulmonary and Respiratory Medicine 232
  • Surgery 103
Replace Susanne Siemonsen with:
Susanne Siemonsen Germany
Clifford J. Eskey United States
Lawrence Tanenbaum United States
Sergio Lucio Vinci Italy
K R Davis United States
Meredith A. Weinstein United States
M T Modic United States
Nathaniel Wycliffe United States
Naoaki Yamada Japan
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Ferdinand Buonanno relative to Susanne Siemonsen Germany Susanne Siemonsen's profile →
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Countries citing papers authored by Ferdinand Buonanno

Since Specialization
Citations

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

Fields of papers citing papers by Ferdinand Buonanno

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ferdinand Buonanno

This figure shows the co-authorship network connecting the top 25 collaborators of Ferdinand Buonanno. A scholar is included among the top collaborators of Ferdinand Buonanno 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 Ferdinand Buonanno. Ferdinand Buonanno is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

17 of 17 papers shown
#WorkIndexed citations
1 17
2 1
3 2
4 19
5 28
6 76
7 10
8 150
9 12
10 50
11 55
12 1
13 3
14 323
15
Preliminary clinical results of proton (1H) imaging of cranial neoplasms: in vivo measurements of T1 and mobile proton density.
15
16 49
17 92

About Ferdinand Buonanno

Ferdinand Buonanno is a scholar working on Radiology, Nuclear Medicine and Imaging, Neurology and Neurology, having authored 17 papers that have together received 903 indexed citations. Recurring topics across this work include Advanced MRI Techniques and Applications (6 papers), Acute Ischemic Stroke Management (3 papers) and Radiomics and Machine Learning in Medical Imaging (2 papers). The work is most often cited by research in Neurology (244 citations), Radiology, Nuclear Medicine and Imaging (338 citations) and Internal Medicine (34 citations). Ferdinand Buonanno has collaborated with scholars based in United States, Sweden and Israel. Frequent co-authors include Gerald M. Pohost, J. Philip Kistler, C. Tyler Burt, J H Newhouse, Walter J. Koroshetz, Paul F. J. New, T J Brady, Bruce R. Rosen, J M Taveras and Mustapha A. Ezzeddine. Their work appears in journals such as Neurology, Stroke and Radiology.

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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