Md. Sarwar Kamal

1.1k total citations
51 papers, 633 citations indexed

About

Md. Sarwar Kamal is a scholar working on Molecular Biology, Artificial Intelligence and Radiological and Ultrasound Technology. According to data from OpenAlex, Md. Sarwar Kamal has authored 51 papers receiving a total of 633 indexed citations (citations by other indexed papers that have themselves been cited), including 21 papers in Molecular Biology, 18 papers in Artificial Intelligence and 7 papers in Radiological and Ultrasound Technology. Recurrent topics in Md. Sarwar Kamal's work include Genomics and Phylogenetic Studies (9 papers), Machine Learning in Bioinformatics (7 papers) and Radioactivity and Radon Measurements (7 papers). Md. Sarwar Kamal is often cited by papers focused on Genomics and Phylogenetic Studies (9 papers), Machine Learning in Bioinformatics (7 papers) and Radioactivity and Radon Measurements (7 papers). Md. Sarwar Kamal collaborates with scholars based in Bangladesh, Australia and Egypt. Md. Sarwar Kamal's co-authors include Nilanjan Dey, M. I. Chowdhury, Amira S. Ashour, S. Ghose, Shamim Ripon, Sazia Parvin, Enrique Herrera‐Viedma, Rubén González Crespo, Md. Nazrul Islam and M. Nur E. Alam and has published in prestigious journals such as SHILAP Revista de lepidopterología, IEEE Transactions on Instrumentation and Measurement and Nanomaterials.

In The Last Decade

Md. Sarwar Kamal

45 papers receiving 583 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Md. Sarwar Kamal Bangladesh 14 195 137 76 69 61 51 633
Elena Hernández-Pereira Spain 13 242 1.2× 17 0.1× 41 0.5× 34 0.5× 25 0.4× 31 802
I. de Zarzà Spain 10 86 0.4× 52 0.4× 9 0.1× 18 0.3× 29 0.5× 33 370
Troy D. Kelley United States 10 230 1.2× 21 0.2× 12 0.2× 14 0.2× 24 0.4× 38 488
Khan Muhammad South Korea 6 402 2.1× 11 0.1× 8 0.1× 59 0.9× 30 0.5× 11 811
Ming Ni China 9 105 0.5× 12 0.1× 59 0.8× 17 0.2× 58 1.0× 30 409
Lan Yao China 11 58 0.3× 12 0.1× 10 0.1× 52 0.8× 129 2.1× 88 585
A. Mahapatra United States 5 244 1.3× 6 0.0× 10 0.1× 52 0.8× 97 1.6× 16 743
Sultan Alamri Saudi Arabia 13 100 0.5× 20 0.1× 6 0.1× 23 0.3× 97 1.6× 53 475

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 of co-authors of Md. Sarwar Kamal

This figure shows the co-authorship network connecting the top 25 collaborators of Md. Sarwar Kamal. A scholar is included among the top collaborators of Md. Sarwar Kamal 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 Md. Sarwar Kamal. Md. Sarwar Kamal 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
1.
Kamal, Md. Sarwar & Rafiqul Islam. (2025). Mathematical AI-Driven Insights into Societal Dynamics and Resilience. Charles Sturt University Research Output (CRO). 1900–1907.
2.
Kamal, Md. Sarwar, et al.. (2025). Explainable Medical Image Captioning. Charles Sturt University Research Output (CRO). 2253–2261.
3.
Kamal, Md. Sarwar, et al.. (2024). Interpretable Code Summarization. IEEE Transactions on Reliability. 74(1). 2280–2289. 1 indexed citations
4.
Parvin, Sazia, et al.. (2024). Convolutional neural network based data interpretable framework for Alzheimer’s treatment planning. SHILAP Revista de lepidopterología. 7(1). 3–3. 12 indexed citations
5.
Kamal, Md. Sarwar, et al.. (2023). Explainable AI to understand study interest of engineering students. Education and Information Technologies. 29(4). 4657–4672. 7 indexed citations
6.
Kamal, Md. Sarwar, et al.. (2022). Explainable AI for Glaucoma Prediction Analysis to Understand Risk Factors in Treatment Planning. IEEE Transactions on Instrumentation and Measurement. 71. 1–9. 55 indexed citations
7.
Das, Malay K., et al.. (2022). Effect of Pulse Electrodeposition Parameters on the Microstructure and Mechanical Properties of Ni–W/B Nanocomposite Coatings. Nanomaterials. 12(11). 1871–1871. 8 indexed citations
8.
Kamal, Md. Sarwar, et al.. (2021). Alzheimer’s Patient Analysis Using Image and Gene Expression Data and Explainable-AI to Present Associated Genes. IEEE Transactions on Instrumentation and Measurement. 70. 1–7. 82 indexed citations
9.
Kamal, Md. Sarwar, et al.. (2018). Design of a Tri-Band Microstrip Patch Antenna for 5G Application. 1–3. 33 indexed citations
10.
Kamal, Md. Sarwar, et al.. (2017). Hidden Markov model and Chapman Kolmogrov for protein structures prediction from images. Computational Biology and Chemistry. 68. 231–244. 17 indexed citations
11.
Kamal, Md. Sarwar, Sazia Parvin, Amira S. Ashour, Fuqian Shi, & Nilanjan Dey. (2017). De-Bruijn graph with MapReduce framework towards metagenomic data classification. International Journal of Information Technology. 9(1). 59–75. 22 indexed citations
12.
Kamal, Md. Sarwar, et al.. (2016). Performance evaluation comparison for detecting DNA structural break through big data analysis.. Computer Systems: Science & Engineering. 31. 3 indexed citations
13.
Kamal, Md. Sarwar, Shamim Ripon, Nilanjan Dey, Amira S. Ashour, & V. Santhi. (2016). A MapReduce approach to diminish imbalance parameters for big deoxyribonucleic acid dataset. Computer Methods and Programs in Biomedicine. 131. 191–206. 38 indexed citations
14.
Deb, Kaushik, et al.. (2016). MetaG: a graph-based metagenomic gene analysis for big DNA data. Network Modeling Analysis in Health Informatics and Bioinformatics. 5(1). 3 indexed citations
15.
Kamal, Md. Sarwar, et al.. (2015). MSuPDA: A Memory Efficient Algorithm for Sequence Alignment. Interdisciplinary Sciences Computational Life Sciences. 8(1). 84–94. 4 indexed citations
16.
Kamal, Md. Sarwar, et al.. (2014). Performance evaluation of Warshall algorithm and dynamic programming for Markov chain in local sequence alignment. Interdisciplinary Sciences Computational Life Sciences. 7(1). 78–81. 6 indexed citations
17.
Kamal, Md. Sarwar, et al.. (2013). Assessment of Activity Concentrations of Radionuclides from Upper Level Sediment in Charfassion Island, Bhola, Bangladesh. 3(3). 36–39. 7 indexed citations
18.
Rahman, Md. Moshiur, et al.. (2012). Radiation hazards due to terrestrial radionuclides at the coastal area of Ship Breaking Industries, Sitakunda, Bangladesh. 2012. 5 indexed citations
19.
Chowdhury, M. I., et al.. (2005). Distribution of naturally occurring radionuclides in soils of the southern districts of Bangladesh. Radiation Protection Dosimetry. 118(1). 126–130. 31 indexed citations
20.
Alam, M. Nur E., et al.. (1999). Radiological Assessment of Drinking Water of the Chittagong Region of Bangladesh. Radiation Protection Dosimetry. 82(3). 207–214. 80 indexed citations

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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