Alauddin Bhuiyan

60 papers receiving 1.3k citations

Hit Papers

An effective retinal blood vessel segmentation method usi...20122026201620212012100200300

Peers

Alauddin Bhuiyan
Comparison fields: 5 of 90
  • Radiology, Nuclear Medicine and Imaging 1.0k
  • Ophthalmology 885
  • Computer Vision and Pattern Recognition 471
  • Biomedical Engineering 121
  • Artificial Intelligence 74
Replace Amir Sadeghipour with:
Amir Sadeghipour Austria
José Ignacio Orlando Argentina
Paweł Liskowski Poland
J. J. G. Leandro Australia
Balázs Harangi Hungary
Dara D. Koozekanani United States
Sandra Morales Spain
Adrián Colomer Spain
Soochahn Lee South Korea
Rongchang Zhao China
Alauddin Bhuiyan relative to Amir Sadeghipour Austria Amir Sadeghipour's profile →
Citations per field
00.5×8.6×
Amir Sadeghipour · 1×
Citations per year

Countries citing papers authored by Alauddin Bhuiyan

Since Specialization
Citations

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

Fields of papers citing papers by Alauddin Bhuiyan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Alauddin Bhuiyan

This figure shows the co-authorship network connecting the top 25 collaborators of Alauddin Bhuiyan. A scholar is included among the top collaborators of Alauddin Bhuiyan 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 Alauddin Bhuiyan. Alauddin Bhuiyan 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 0
2 0
3 7
4 3
5 20
6 5
7 14
8 11
9
A Prospective Trial of an Artificial Intelligence based Telemedicine Platform to Stratify Severity of Age-related Macular Degeneration (AMD)
4
10
Development and Validation of an Automated AI-based Diabetic Retinopathy Screening Tool for Primary Care Setting
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11 4
12 6
13 68
14
A Prediction Model for Risk of Progression to Late Age-related Macular Degeneration (AMD)
2
15 13
16 20
17 4
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19 22
20 130

About Alauddin Bhuiyan

Alauddin Bhuiyan is a scholar working on Ophthalmology, Radiology, Nuclear Medicine and Imaging and Computer Vision and Pattern Recognition, having authored 66 papers that have together received 1.3k indexed citations. Recurring topics across this work include Retinal Imaging and Analysis (52 papers), Retinal Diseases and Treatments (33 papers) and Glaucoma and retinal disorders (32 papers). The work is most often cited by research in Ophthalmology (885 citations), Radiology, Nuclear Medicine and Imaging (1.0k citations) and Computer Vision and Pattern Recognition (471 citations). Alauddin Bhuiyan has collaborated with scholars based in Australia, United States and Singapore. Frequent co-authors include Kotagiri Ramamohanarao, Uyen T. V. Nguyen, Laurence A. F. Park, R. Theodore Smith, Tien Yin Wong, Arun Govindaiah, Yogesan Kanagasingam, Leonard Goldschmidt, Michael D. Abràmoff and Baikunth Nath. Their work appears in journals such as PLoS ONE, Scientific Reports and IEEE Transactions on Biomedical Engineering.

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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