Ali Islam

1.0k citations
36 papers · 644 · h-index 15

Impact in

Papers in

Ali Islam

33 papers receiving 622 citations

Peers

Ali Islam
Comparison fields: 5 of 67
  • Radiology, Nuclear Medicine and Imaging 395
  • Cardiology and Cardiovascular Medicine 289
  • Computer Vision and Pattern Recognition 227
  • Health Informatics 6
  • Biomedical Engineering 173
Replace Martino Alessandrini with:
Martino Alessandrini Belgium
M. R. Avendi Canada
John Stoitsis Greece
William Kongto Hau Hong Kong
Mustafa Elattar Egypt
Juan Morales‐Sánchez Spain
Trygve Eftestøl Norway
Mostafa Ghelich Oghli Iran
Kristin McLeod Norway
Frédéric Cervenansky France
Ali Islam relative to Martino Alessandrini Belgium Martino Alessandrini's profile →
Citations per field
00.5×1.5×2.0×
Martino Alessandrini · 1×
Citations per year

Countries citing papers authored by Ali Islam

Since Specialization
Citations

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

Fields of papers citing papers by Ali Islam

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 36 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201572
2 201358
3 201756
4 201152
5 201445
6 201343
7 201443
8 200941
9 201633
10 201228
11 201323
12 201620
13 201614
14 201014
15 201414
16 20188
17 20108
18 20168
19 20137
20 20176

About Ali Islam

Ali Islam is a scholar working on Radiology, Nuclear Medicine and Imaging, Cardiology and Cardiovascular Medicine, Computer Vision and Pattern Recognition, Biomedical Engineering and Pulmonary and Respiratory Medicine, having authored 36 papers that have together received 644 indexed citations. Recurring topics across this work include Advanced MRI Techniques and Applications (14 papers), Medical Image Segmentation Techniques (14 papers), Cardiac Imaging and Diagnostics (13 papers), Medical Imaging Techniques and Applications (11 papers), Cardiovascular Function and Risk Factors (8 papers), Advanced Neural Network Applications (8 papers), Advanced X-ray and CT Imaging (6 papers) and Cardiac Valve Diseases and Treatments (3 papers). The work is most often cited by research in Radiology, Nuclear Medicine and Imaging (395 citations), Cardiology and Cardiovascular Medicine (289 citations), Computer Vision and Pattern Recognition (227 citations), Health Informatics (6 citations) and Biomedical Engineering (173 citations). Ali Islam has collaborated with scholars based in Canada, Spain and United Kingdom. Frequent co-authors include Shuo Li, Mousumi Bhaduri, Ismail Ben Ayed, Ian Chan, Aashish Goela, Xiantong Zhen, Kumaradevan Punithakumar, Terry M. Peters, Zhijie Wang and Jaron Chong. Their work appears in journals such as IEEE Transactions on Medical Imaging, Medical Image Analysis, International Journal of Cardiology, Circulation Cardiovascular Imaging and Medical Physics.

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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