Mirajul Islam

837 total citations
40 papers, 497 citations indexed

About

Mirajul Islam is a scholar working on Artificial Intelligence, Pediatrics, Perinatology and Child Health and General Health Professions. According to data from OpenAlex, Mirajul Islam has authored 40 papers receiving a total of 497 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Artificial Intelligence, 10 papers in Pediatrics, Perinatology and Child Health and 3 papers in General Health Professions. Recurrent topics in Mirajul Islam's work include Global Maternal and Child Health (9 papers), Sentiment Analysis and Opinion Mining (4 papers) and Topic Modeling (4 papers). Mirajul Islam is often cited by papers focused on Global Maternal and Child Health (9 papers), Sentiment Analysis and Opinion Mining (4 papers) and Topic Modeling (4 papers). Mirajul Islam collaborates with scholars based in Bangladesh, Malaysia and Australia. Mirajul Islam's co-authors include Rafiqul I. Chowdhury, Nitai Chakraborty, Wasimul Bari, Sharun Akter Khushbu, Liton Chandra Paul, Md. Ashraful Haque, Md Afzalur Rahman, M. A. Zakariya, M. Mazharul Islam and Narinderjit Singh Sawaran Singh and has published in prestigious journals such as SHILAP Revista de lepidopterología, Statistics in Medicine and Applied Sciences.

In The Last Decade

Mirajul Islam

39 papers receiving 465 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Mirajul Islam Bangladesh 13 218 80 77 77 73 40 497
Mo Hao China 9 36 0.2× 21 0.3× 85 1.1× 144 1.9× 24 0.3× 19 418
Caleb Parker United States 6 70 0.3× 33 0.4× 56 0.7× 4 0.1× 20 0.3× 11 304
Wajahat Hussain Pakistan 10 36 0.2× 80 1.0× 28 0.4× 18 0.2× 3 0.0× 40 291
David Collins United States 9 95 0.4× 18 0.2× 57 0.7× 19 0.2× 14 0.2× 29 276
José Luis Álvarez Macías Spain 9 161 0.7× 108 1.4× 27 0.4× 43 0.6× 26 405
Ying Suo United States 13 17 0.1× 79 1.0× 200 2.6× 64 0.8× 1 0.0× 74 522
AC Kimber United Kingdom 9 31 0.1× 4 0.1× 17 0.2× 37 0.5× 60 0.8× 13 446
Kathryn M. Porter United States 13 71 0.3× 31 0.4× 109 1.4× 178 2.3× 1 0.0× 48 626
Vimal Gupta India 10 65 0.3× 3 0.0× 34 0.4× 2 0.0× 26 0.4× 30 221
Farhana Shahid United States 12 113 0.5× 29 0.4× 5 0.1× 115 1.6× 28 335

Countries citing papers authored by Mirajul Islam

Since Specialization
Citations

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

Fields of papers citing papers by Mirajul Islam

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Mirajul Islam

This figure shows the co-authorship network connecting the top 25 collaborators of Mirajul Islam. A scholar is included among the top collaborators of Mirajul Islam 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 Mirajul Islam. Mirajul Islam 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.
Shaibur, Molla Rahman, Ahmed Helal, Waris Khan, et al.. (2024). Cow dung management, biogas production and the uses of bio-slurry for sustainable agriculture. Cleaner Waste Systems. 10. 100201–100201. 2 indexed citations
2.
Khushbu, Sharun Akter, et al.. (2024). AMDNet23: Hybrid CNN-LSTM deep learning approach with enhanced preprocessing for age-related macular degeneration (AMD) detection. Intelligent Systems with Applications. 21. 200334–200334. 15 indexed citations
3.
Khushbu, Sharun Akter, et al.. (2024). Hybrid deep learning: a comparative study on ai algorithms in natural language processing for text classification. Bulletin of Electrical Engineering and Informatics. 14(1). 551–559.
4.
Khushbu, Sharun Akter, et al.. (2024). Multihead Text Mining from COVID‐19 Feedback Using Machine Learning, Deep Learning, and Hybrid Deep Learning Approaches. Journal of Sensors. 2024(1). 1 indexed citations
5.
Haque, Md. Ashraful, et al.. (2024). based performance estimation of a slotted inverted F-shaped tri-band antenna for satellite/mm-wave 5G application. TELKOMNIKA (Telecommunication Computing Electronics and Control). 22(4). 773–773. 12 indexed citations
6.
Islam, Mirajul, et al.. (2024). EFL TEACHERS' PERCEPTIONS OF AI'S IMPACT ON ACADEMIC INTEGRITY AND PEDAGOGY IN BANGLADESHI UNIVERSITIES. SHILAP Revista de lepidopterología. 8(2). 564–579. 2 indexed citations
7.
8.
Das, Rajesh Kumar, et al.. (2023). Sentiment analysis in multilingual context: Comparative analysis of machine learning and hybrid deep learning models. Heliyon. 9(9). e20281–e20281. 22 indexed citations
9.
Haque, Md. Ashraful, M. A. Zakariya, Samir Salem Al‐Bawri, et al.. (2023). Quasi-Yagi antenna design for LTE applications and prediction of gain and directivity using machine learning approaches. Alexandria Engineering Journal. 80. 383–396. 25 indexed citations
10.
Islam, Mirajul, et al.. (2023). BTSD: A curated transformation of sentence dataset for text classification in Bangla language. Data in Brief. 50. 109445–109445. 4 indexed citations
11.
Roy, Anirban, et al.. (2023). A Comprehensive Study of DCNN Algorithms-based Transfer Learning for Human Eye Cataract Detection. International Journal of Advanced Computer Science and Applications. 14(6). 2 indexed citations
12.
Haque, Md. Ashraful, Narinderjit Singh Sawaran Singh, Md Afzalur Rahman, et al.. (2022). Dual Band Antenna Design and Prediction of Resonance Frequency Using Machine Learning Approaches. Applied Sciences. 12(20). 10505–10505. 46 indexed citations
13.
Islam, Mirajul, et al.. (2021). Assessment of Bangladeshi people’s knowledge, awareness, precautionary behavior and preventive actions during the COVID-19 pandemic: A cross-sectional survey. Malaysian Journal of Medicine and Health Sciences. 17(2). 225–233. 1 indexed citations
14.
Islam, Mirajul, et al.. (2019). Risk factors for pregnancy related complications among urban slum and non-slum women in Bangladesh. BMC Pregnancy and Childbirth. 19(1). 235–235. 29 indexed citations
15.
Islam, Mirajul, et al.. (2016). Comparison of Low Density Lipoprotein Cholesterol Level in Second and Third Trimester of Pregnancy in Mymensingh Region of Bangladesh.. PubMed. 25(4). 717–720. 1 indexed citations
16.
Islam, Mirajul, et al.. (2015). Multi-agent system modeling for managing limited distributed generation of microgrid. 533–538. 6 indexed citations
17.
Biswas, Soma Chowdhury, Mirajul Islam, & J. N. Islam. (2011). Higher Order Markov Structure-Based Logistic Model and Likelihood Inference for Ordinal Data. Journal of Modern Applied Statistical Methods. 10(2). 528–538. 2 indexed citations
18.
Chowdhury, Rafiqul I., Mirajul Islam, Halida H. Akhter, & Nitai Chakraborty. (2004). Analysis of Postpartum Complications in Relation to Selected Delivery Characteristics in Rural Bangladesh. World health & population. 6 indexed citations
19.
Islam, Mirajul, et al.. (2004). Application of Local Influence Diagnostics to the Linear Logistic Regression Models. SSRN Electronic Journal. 2 indexed citations
20.
Khan, Asaduzzaman, et al.. (2002). Inconsistent use of oral contraceptives in rural Bangladesh. Contraception. 65(6). 429–433. 9 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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