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
Replace Marcel Breeuwer with:
Marcel Breeuwer Netherlands
Santiago Aja‐Fernández Spain
Achim Schweikard Germany
Jan Kybic Czechia
Jian Yang China
María A. Zuluaga France
Ali Gholipour United States
Óscar Cámara Spain
Christian Desrosiers Canada
Georgy Gimel’farb New Zealand
Rafeef Abugharbieh relative to Marcel Breeuwer Netherlands Marcel Breeuwer's profile →
Citations per field
00.5×1.6×
Marcel Breeuwer · 1×
Citations per year

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
#WorkIndexed 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

About Rafeef Abugharbieh

Rafeef Abugharbieh is a scholar working on Computer Vision and Pattern Recognition, Computational Mathematics and Radiology, Nuclear Medicine and Imaging, having authored 110 papers that have together received 1.7k indexed citations. Recurring topics across this work include Medical Image Segmentation Techniques (32 papers), Functional Brain Connectivity Studies (22 papers) and Neural dynamics and brain function (15 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (654 citations), Radiology, Nuclear Medicine and Imaging (490 citations) and Signal Processing (160 citations). Rafeef Abugharbieh has collaborated with scholars based in Canada, United States and France. Frequent 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. Their work appears in journals such as IEEE Transactions on Image Processing, IEEE Transactions on Signal Processing and The Journal of the Acoustical Society of America.

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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