Jonayet Miah

475 total citations
25 papers, 297 citations indexed

About

Jonayet Miah is a scholar working on Artificial Intelligence, Health Information Management and Management Science and Operations Research. According to data from OpenAlex, Jonayet Miah has authored 25 papers receiving a total of 297 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Artificial Intelligence, 8 papers in Health Information Management and 6 papers in Management Science and Operations Research. Recurrent topics in Jonayet Miah's work include Artificial Intelligence in Healthcare (8 papers), Stock Market Forecasting Methods (3 papers) and Brain Tumor Detection and Classification (3 papers). Jonayet Miah is often cited by papers focused on Artificial Intelligence in Healthcare (8 papers), Stock Market Forecasting Methods (3 papers) and Brain Tumor Detection and Classification (3 papers). Jonayet Miah collaborates with scholars based in United States and Bangladesh. Jonayet Miah's co-authors include Razib Hayat Khan, Md Ishtyaq Mahmud, M. M. Mahbubul Syeed, Muntasir Mamun, S. M. Yasir Arafat, Sabbir Ahmed, Md Nasir, Md Nur Hossain, Mohammad Faisal Uddin and Salma Akter and has published in prestigious journals such as International Journal of Advanced Computer Science and Applications, JOIV International Journal on Informatics Visualization and Zenodo (CERN European Organization for Nuclear Research).

In The Last Decade

Jonayet Miah

24 papers receiving 284 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Jonayet Miah United States 12 125 74 57 56 40 25 297
V. Mahalakshmi India 6 60 0.5× 33 0.4× 37 0.6× 14 0.3× 25 0.6× 25 260
Sadaf Yasmin Pakistan 10 105 0.8× 10 0.1× 72 1.3× 49 0.9× 98 2.5× 29 328
Negar Maleki United States 6 137 1.1× 39 0.5× 74 1.3× 18 0.3× 33 0.8× 9 304
Tong Ruan China 12 385 3.1× 41 0.6× 45 0.8× 31 0.6× 76 1.9× 64 543
Manomita Chakraborty India 10 150 1.2× 34 0.5× 8 0.1× 16 0.3× 19 0.5× 32 288
V. Ilango India 6 136 1.1× 110 1.5× 39 0.7× 7 0.1× 32 0.8× 31 281
Amira Rezk Egypt 10 91 0.7× 56 0.8× 12 0.2× 16 0.3× 25 0.6× 25 217
Krishna Mridha India 8 113 0.9× 40 0.5× 45 0.8× 9 0.2× 38 0.9× 29 282
Maryam Bukhari Pakistan 8 109 0.9× 10 0.1× 93 1.6× 33 0.6× 124 3.1× 24 277
Noreddine Gherabi Morocco 9 80 0.6× 39 0.5× 16 0.3× 20 0.4× 5 0.1× 48 177

Countries citing papers authored by Jonayet Miah

Since Specialization
Citations

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

Fields of papers citing papers by Jonayet Miah

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jonayet Miah

This figure shows the co-authorship network connecting the top 25 collaborators of Jonayet Miah. A scholar is included among the top collaborators of Jonayet Miah 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 Jonayet Miah. Jonayet Miah 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
2.
Khan, Razib Hayat, Jonayet Miah, M. M. Mahbubul Syeed, & Mohammad Faisal Uddin. (2024). Metaverse Ecosystem Realization for its Application Development. 11. 109–113. 3 indexed citations
3.
Khan, Razib Hayat, et al.. (2024). E-Commerce Application in Metaverse: Requirements, Integration, Economics and Future Trends. 1–6. 1 indexed citations
4.
Miah, Jonayet, et al.. (2024). MACHINE LEARNING APPROACHES FOR DEMAND FORECASTING: THE IMPACT OF CUSTOMER SATISFACTION ON PREDICTION ACCURACY. Zenodo (CERN European Organization for Nuclear Research). 6(10). 42–53. 7 indexed citations
5.
Miah, Jonayet, et al.. (2024). Advancing Brain Tumor Detection: A Thorough Investigation of CNNs, Clustering, and SoftMax Classification in the Analysis of MRI Images. JOIV International Journal on Informatics Visualization. 8(4). 2489–2489. 3 indexed citations
6.
Miah, Jonayet, Razib Hayat Khan, Sabbir Ahmed, & Md Ishtyaq Mahmud. (2023). A comparative study of Detecting Covid 19 by Using Chest X-ray Images– A Deep Learning Approach. 311–316. 25 indexed citations
7.
Miah, Jonayet, et al.. (2023). Enhancing Traffic Density Detection and Synthesis through Topological Attributes and Generative Methods. Journal of Computer Science and Technology Studies. 5(4). 69–77. 6 indexed citations
8.
Miah, Jonayet, et al.. (2023). Empirical Analysis with Component Decomposition Methods for Cervical Cancer Risk Assessment. 513–519. 6 indexed citations
9.
Miah, Jonayet, et al.. (2023). Generative AI Model for Artistic Style Transfer Using Convolutional Neural Networks. Journal of Computer Science and Technology Studies. 5(4). 78–85. 12 indexed citations
11.
Miah, Jonayet, et al.. (2023). A Comparative Study of Brain Tumor Detection using Convolutional Neural Networks with MRI Images. 301–306. 1 indexed citations
12.
Khan, Razib Hayat, et al.. (2023). A Comparative Analysis of Machine Learning Approaches for Chronic Kidney Disease Detection. 1–6. 11 indexed citations
13.
Khan, Razib Hayat, et al.. (2023). A study of forecasting stocks price by using deep Reinforcement Learning. 250–255. 18 indexed citations
14.
15.
Miah, Jonayet, et al.. (2023). Boosting Stock Price Prediction with Anticipated Macro Policy Changes. 4(3). 29–34. 14 indexed citations
16.
Miah, Jonayet, et al.. (2023). Retail Demand Forecasting: A Comparative Study for Multivariate Time Series. 4(4). 40–46. 6 indexed citations
17.
Khan, Razib Hayat, et al.. (2023). A Comparative Study of Machine Learning Algorithms for Detecting Breast Cancer. 647–652. 38 indexed citations
18.
Miah, Jonayet, et al.. (2022). MHfit: Mobile Health Data for Predicting Athletics Fitness Using Machine Learning Models. 584–589. 23 indexed citations
20.
Miah, Jonayet & Razib Hayat Khan. (2019). Service Development of Smart Home Automation System. 161–167. 3 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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