Bashir Al-Diri

43 papers receiving 997 citations

Peers

Bashir Al-Diri
Comparison fields: 5 of 71
  • Ophthalmology 763
  • Radiology, Nuclear Medicine and Imaging 918
  • Computer Vision and Pattern Recognition 469
  • Health Information Management 42
  • Neurology 43
Replace Attila Budai with:
Attila Budai Germany
Mark J. J. P. van Grinsven Netherlands
Jan Odstrčilík Czechia
João V. B. Soares United States
Paweł Liskowski Poland
J. J. G. Leandro Australia
Siamak Yousefi United States
Sandra Morales Spain
Andres Diaz‐Pinto United Kingdom
Fengshou Yin Singapore
Bashir Al-Diri relative to Attila Budai Germany Attila Budai's profile →
Citations per field
00.5×1.7×
Attila Budai · 1×
Citations per year

Countries citing papers authored by Bashir Al-Diri

Since Specialization
Citations

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

Fields of papers citing papers by Bashir Al-Diri

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Bashir Al-Diri. 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 Bashir Al-Diri. The network helps show where Bashir Al-Diri may publish in the future.

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 46 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2009305
2 2018151
3 2013123
4 200883
5 201334
6 201729
7 201427
8 201827
9 201821
10 201520
11 201019
12 202019
13 201817
14 201515
15 201414
16
A ribbon of twins for extracting vessel boundaries
200513
17 201711
18 201011
19 201410
20 20168

About Bashir Al-Diri

Bashir Al-Diri is a scholar working on Ophthalmology, Radiology, Nuclear Medicine and Imaging, Computer Vision and Pattern Recognition, Artificial Intelligence and Neurology, having authored 46 papers that have together received 1.0k indexed citations. Recurring topics across this work include Retinal Imaging and Analysis (34 papers), Retinal Diseases and Treatments (26 papers), Glaucoma and retinal disorders (24 papers), Digital Imaging for Blood Diseases (5 papers), Medical Image Segmentation Techniques (3 papers), Speech Recognition and Synthesis (3 papers), Natural Language Processing Techniques (2 papers) and Cardiovascular Health and Disease Prevention (2 papers). The work is most often cited by research in Ophthalmology (763 citations), Radiology, Nuclear Medicine and Imaging (918 citations), Computer Vision and Pattern Recognition (469 citations), Health Information Management (42 citations) and Neurology (43 citations). Bashir Al-Diri has collaborated with scholars based in United Kingdom, United States and Denmark. Frequent co-authors include Andrew Hunter, David Steel, Francesco Calivá, Somshubra Majumdar, Maged Habib, Georgios Leontidis, Touseef Ahmad Qureshi, Alfredo Ruggeri, Luca Giancardo and Emanuele Trucco. Their work appears in journals such as Computers in Biology and Medicine, Investigative Ophthalmology & Visual Science, Scientific Reports, Journal of Hypertension and Computer Methods and Programs in Biomedicine.

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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