Rafeef Abugharbieh

2.6k total citations
110 papers, 1.7k citations indexed

About

Rafeef Abugharbieh is a scholar working on Computer Vision and Pattern Recognition, Radiology, Nuclear Medicine and Imaging and Cognitive Neuroscience. According to data from OpenAlex, Rafeef Abugharbieh has authored 110 papers receiving a total of 1.7k indexed citations (citations by other indexed papers that have themselves been cited), including 44 papers in Computer Vision and Pattern Recognition, 37 papers in Radiology, Nuclear Medicine and Imaging and 27 papers in Cognitive Neuroscience. Recurrent topics in Rafeef Abugharbieh's work include Medical Image Segmentation Techniques (32 papers), Functional Brain Connectivity Studies (22 papers) and Neural dynamics and brain function (15 papers). Rafeef Abugharbieh is often cited by papers focused on Medical Image Segmentation Techniques (32 papers), Functional Brain Connectivity Studies (22 papers) and Neural dynamics and brain function (15 papers). Rafeef Abugharbieh collaborates with scholars based in Canada, United States and France. Rafeef Abugharbieh's co-authors include Ghassan Hamarneh, Antony J. Hodgson, Bernard Ng, Martin J. McKeown, Ilker Hacihaliloglu, Panos Nasiopoulos, Víctor Sánchez, Robert Rohling, Roger Tam and Pierre Guy and has published in prestigious journals such as IEEE Transactions on Image Processing, IEEE Transactions on Signal Processing and The Journal of the Acoustical Society of America.

In The Last Decade

Rafeef Abugharbieh

108 papers receiving 1.6k citations

Peers

Rafeef Abugharbieh
Comparison fields: 5 of 129
  • Computer Vision and Pattern Recognition 654
  • Radiology, Nuclear Medicine and Imaging 490
  • Biomedical Engineering 350
  • Surgery 252
  • Cognitive Neuroscience 210
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Marcel Breeuwer Netherlands
Óscar Cámara Spain
Gözde Ünal Türkiye
Achim Schweikard Germany
Syoji Kobashi Japan
Jianhuang Wu China
Gemma Piella Spain
Jan Kybic Czechia
Irene Cheng Canada
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Citations per field, relative to Rafeef Abugharbieh
Rafeef Abugharbieh · 1×
Citations per year, relative to Rafeef Abugharbieh
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Countries citing papers authored by Rafeef Abugharbieh

Since Specialization
Citations

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

Fields of papers citing papers by Rafeef Abugharbieh

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Rafeef Abugharbieh

This figure shows the co-authorship network connecting the top 25 collaborators of Rafeef Abugharbieh. A scholar is included among the top collaborators of Rafeef Abugharbieh 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 Rafeef Abugharbieh. Rafeef Abugharbieh 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 4
3 8
4 5
5 13
6 3
7 26
8 3
9
Random Walker Based Estimation and Spatial Analysis of Probabilistic fMRI Activation Maps
4
10 6
11 7
12 63
13 43
14 31
15 55
16 7
17 13
18 17
19 33
20 35

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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