Md Baharul Islam

1.1k citations
79 papers · 606 · h-index 12

Impact in

Papers in

Md Baharul Islam

71 papers receiving 587 citations

Peers

Md Baharul Islam
Comparison fields: 5 of 114
  • Computer Vision and Pattern Recognition 207
  • Ophthalmology 56
  • Radiology, Nuclear Medicine and Imaging 127
  • Media Technology 46
  • Dermatology 42
Replace Sherin M. Youssef with:
Sherin M. Youssef Egypt
Rabbia Mahum Pakistan
Baidaa Al‐Bander United Kingdom
Muhammad Irfan Sharif Pakistan
Marwa Obayya Saudi Arabia
Nudrat Nida Pakistan
Vivek Kumar Singh Egypt
Quang H. Nguyen Vietnam
Shafqat Ali Shad United States
Jin Hyung Kim South Korea
Md Baharul Islam relative to Sherin M. Youssef Egypt Sherin M. Youssef's profile →
Citations per field
00.5×10.5×
Sherin M. Youssef · 1×
Citations per year

Countries citing papers authored by Md Baharul Islam

Since Specialization
Citations

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

Fields of papers citing papers by Md Baharul Islam

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 79 papers — load more, or switch the sort, to bring in the rest.

#Work
1 202188
2 200370
3 202168
4 202130
5 202028
6 201620
7 202115
8 202213
9 202013
10 202212
11 201812
12 201511
13 202210
14 197010
15 201210
16 20219
17 20229
18 20238
19 20238
20 20227

About Md Baharul Islam

Md Baharul Islam is a scholar working on Computer Vision and Pattern Recognition, Radiology, Nuclear Medicine and Imaging, Pulmonary and Respiratory Medicine, Media Technology and Epidemiology, having authored 79 papers that have together received 606 indexed citations. Recurring topics across this work include Advanced Vision and Imaging (12 papers), Advanced Image Processing Techniques (10 papers), Retinal Imaging and Analysis (9 papers), Visual Attention and Saliency Detection (8 papers), Image Enhancement Techniques (6 papers), Hand Gesture Recognition Systems (5 papers), Advanced Image and Video Retrieval Techniques (5 papers) and Digital Imaging for Blood Diseases (4 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (207 citations), Ophthalmology (56 citations), Radiology, Nuclear Medicine and Imaging (127 citations), Media Technology (46 citations) and Dermatology (42 citations). Md Baharul Islam has collaborated with scholars based in Türkiye, Bangladesh and Malta. Frequent co-authors include Masum Shah Junayed, Arezoo Sadeghzadeh, A. F. M. Shahen Shah, Lai-Kuan Wong, Alan J. Knox, Ahmed Hamad, Andrew Clayton, Muhammet Ali Karabulut, Hacı İlhan and Tarkan Aydın. Their work appears in journals such as IEEE Access, Image Analysis & Stereology, Intelligent Systems with Applications, Multimedia Tools and Applications and IEEE Transactions on Multimedia.

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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