Jennifer L. Cuzzocreo

1.5k total citations
21 papers, 759 citations indexed

About

Jennifer L. Cuzzocreo is a scholar working on Radiology, Nuclear Medicine and Imaging, Computer Vision and Pattern Recognition and Pathology and Forensic Medicine. According to data from OpenAlex, Jennifer L. Cuzzocreo has authored 21 papers receiving a total of 759 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Radiology, Nuclear Medicine and Imaging, 7 papers in Computer Vision and Pattern Recognition and 5 papers in Pathology and Forensic Medicine. Recurrent topics in Jennifer L. Cuzzocreo's work include Medical Image Segmentation Techniques (6 papers), Multiple Sclerosis Research Studies (5 papers) and Advanced Neuroimaging Techniques and Applications (5 papers). Jennifer L. Cuzzocreo is often cited by papers focused on Medical Image Segmentation Techniques (6 papers), Multiple Sclerosis Research Studies (5 papers) and Advanced Neuroimaging Techniques and Applications (5 papers). Jennifer L. Cuzzocreo collaborates with scholars based in United States, Canada and Germany. Jennifer L. Cuzzocreo's co-authors include Pierre‐Louis Bazin, Jerry L. Prince, Dzung L. Pham, Aaron Carass, Susan Spear Bassett, Daniel S. Reich, Michael A. Yassa, Peter A. Calabresi, Navid Shiee and Matthew McAuliffe and has published in prestigious journals such as PLoS ONE, NeuroImage and Neurology.

In The Last Decade

Jennifer L. Cuzzocreo

21 papers receiving 746 citations

Peers

Jennifer L. Cuzzocreo
Comparison fields: 5 of 93
  • Radiology, Nuclear Medicine and Imaging 272
  • Computer Vision and Pattern Recognition 177
  • Pathology and Forensic Medicine 148
  • Neurology 144
  • Cognitive Neuroscience 102
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Citations per field, relative to Jennifer L. Cuzzocreo
Jennifer L. Cuzzocreo · 1×
Citations per year, relative to Jennifer L. Cuzzocreo
Jennifer L. Cuzzocreo · 1×

Countries citing papers authored by Jennifer L. Cuzzocreo

Since Specialization
Citations

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

Fields of papers citing papers by Jennifer L. Cuzzocreo

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Jennifer L. Cuzzocreo. 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 Jennifer L. Cuzzocreo. The network helps show where Jennifer L. Cuzzocreo may publish in the future.

Co-authorship network of co-authors of Jennifer L. Cuzzocreo

This figure shows the co-authorship network connecting the top 25 collaborators of Jennifer L. Cuzzocreo. A scholar is included among the top collaborators of Jennifer L. Cuzzocreo 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 Jennifer L. Cuzzocreo. Jennifer L. Cuzzocreo 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
# Work Indexed citations
1 25
2 34
3 20
4 13
5 38
6 20
7 20
8 14
9 50
10 32
11 70
12 28
13 17
14 96
15 29
16 42
17 13
18 37
19 110
20 41

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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