Md Amiruzzaman

616 citations
64 papers · 304 · h-index 10

Impact in

Papers in

Md Amiruzzaman

53 papers receiving 299 citations

Peers

Md Amiruzzaman
Comparison fields: 5 of 96
  • Health Informatics 13
  • Safety, Risk, Reliability and Quality 40
  • Computer Vision and Pattern Recognition 89
  • Transportation 27
  • Molecular Medicine 17
Replace Fatema Tuj Johora with:
Fatema Tuj Johora Bangladesh
Francesco Sambo Italy
Md Tahmid Rashid United States
Junseong Bang South Korea
Negar Rostamzadeh United States
Tran Viet Khoa Vietnam
Jyoti Agarwal India
Lei Yue China
Xuejiao Yang China
Md Amiruzzaman relative to Fatema Tuj Johora Bangladesh Fatema Tuj Johora's profile →
Citations per field
00.5×6.5×
Fatema Tuj Johora · 1×
Citations per year

Countries citing papers authored by Md Amiruzzaman

Since Specialization
Citations

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

Fields of papers citing papers by Md Amiruzzaman

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 64 papers — load more, or switch the sort, to bring in the rest.

#Work
1 202034
2 202429
3 202026
4 202125
5 202414
6 202114
7 202411
8 202111
9 20249
10 20189
11 20208
12 20238
13 20206
14 20206
15 20255
16 20215
17 20254
18 20184
19 20234
20 20234

About Md Amiruzzaman

Md Amiruzzaman is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence, Information Systems, Signal Processing and Transportation, having authored 64 papers that have together received 304 indexed citations. Recurring topics across this work include Advanced Steganography and Watermarking Techniques (6 papers), Chaos-based Image/Signal Encryption (6 papers), Digital Media Forensic Detection (5 papers), Data Management and Algorithms (4 papers), Antibiotic Resistance in Bacteria (4 papers), Human Mobility and Location-Based Analysis (4 papers), Video Surveillance and Tracking Methods (4 papers) and Bacterial biofilms and quorum sensing (3 papers). The work is most often cited by research in Health Informatics (13 citations), Safety, Risk, Reliability and Quality (40 citations), Computer Vision and Pattern Recognition (89 citations), Transportation (27 citations) and Molecular Medicine (17 citations). Md Amiruzzaman has collaborated with scholars based in United States, Bangladesh and Malaysia. Frequent co-authors include Md. Rashedul Islam, Fnu Neha, Ye Zhao, Nadeem Ahmed, Md. Rajibul Islam, Xinyue Ye, Jungpil Shin, Andrew Curtis, M. Abdullah‐Al‐Wadud and Xinyi Huang. Their work appears in journals such as Scientific Reports, Emerging Science Journal, IEEE Access, BMC Infectious Diseases and IEEE Transactions on Visualization and Computer Graphics.

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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