Md. Sarwar Kamal

1.1k citations
51 papers · 633 indexed · h-index 14

Md. Sarwar Kamal

45 papers receiving 583 citations

Peers

Md. Sarwar Kamal
Comparison fields: 5 of 122
  • Health Informatics 39
  • Radiological and Ultrasound Technology 137
  • General Dentistry 20
  • Safety, Risk, Reliability and Quality 76
  • Health Information Management 29
Replace Elena Hernández-Pereira with:
Elena Hernández-Pereira Spain
Khan Muhammad South Korea
Troy D. Kelley United States
A. Mahapatra United States
Hadil Shaiba Saudi Arabia
Sultan Alamri Saudi Arabia
Hadeel Alsolai Saudi Arabia
Md. Sazzadur Rahman Bangladesh
Oona Rainio Finland
Richard Tomsett United Kingdom
Md. Sarwar Kamal relative to Elena Hernández-Pereira Spain Elena Hernández-Pereira's profile →
Citations per field
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Citations per year

Countries citing papers authored by Md. Sarwar Kamal

Since Specialization
Citations

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

Fields of papers citing papers by Md. Sarwar Kamal

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20250
2 20250
3 20241
4 202412
5 20245
6 20237
7 202255
8 202182
9 201717
10
Performance evaluation comparison for detecting DNA structural break through big data analysis.
20163
11 201638
12 20163
13 20166
14 20154
15 20146
16
Assessment of Activity Concentrations of Radionuclides from Upper Level Sediment in Charfassion Island, Bhola, Bangladesh
20137
17
Radiation hazards due to terrestrial radionuclides at the coastal area of Ship Breaking Industries, Sitakunda, Bangladesh
20125
18 200531
19 199980
20 199718

About Md. Sarwar Kamal

Md. Sarwar Kamal is a scholar working on Radiological and Ultrasound Technology, Artificial Intelligence and General Dentistry, having authored 51 papers that have together received 633 indexed citations. Recurring topics across this work include Genomics and Phylogenetic Studies (9 papers), Machine Learning in Bioinformatics (7 papers), Radioactivity and Radon Measurements (7 papers), Algorithms and Data Compression (6 papers), Nuclear and radioactivity studies (4 papers), Gene expression and cancer classification (4 papers), Machine Learning in Healthcare (4 papers) and Bioinformatics and Genomic Networks (4 papers). The work is most often cited by research in Health Informatics (39 citations), Radiological and Ultrasound Technology (137 citations) and General Dentistry (20 citations). Md. Sarwar Kamal has collaborated with scholars based in Bangladesh, Australia and Egypt. Frequent co-authors include Nilanjan Dey, M. I. Chowdhury, Amira S. Ashour, S. Ghose, Shamim Ripon, Enrique Herrera‐Viedma, Rubén González Crespo, Sazia Parvin, M. Nur E. Alam and KC Santosh. Their work appears in journals such as SHILAP Revista de lepidopterología, IEEE Transactions on Instrumentation and Measurement and Nanomaterials.

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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