Md Abdur Rahaman

804 total citations · 1 hit paper
17 papers, 355 citations indexed

About

Md Abdur Rahaman is a scholar working on Cognitive Neuroscience, Artificial Intelligence and Radiology, Nuclear Medicine and Imaging. According to data from OpenAlex, Md Abdur Rahaman has authored 17 papers receiving a total of 355 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Cognitive Neuroscience, 6 papers in Artificial Intelligence and 5 papers in Radiology, Nuclear Medicine and Imaging. Recurrent topics in Md Abdur Rahaman's work include Functional Brain Connectivity Studies (10 papers), Machine Learning in Healthcare (6 papers) and Advanced Neuroimaging Techniques and Applications (4 papers). Md Abdur Rahaman is often cited by papers focused on Functional Brain Connectivity Studies (10 papers), Machine Learning in Healthcare (6 papers) and Advanced Neuroimaging Techniques and Applications (4 papers). Md Abdur Rahaman collaborates with scholars based in United States, Bangladesh and Canada. Md Abdur Rahaman's co-authors include Vince D. Calhoun, Zening Fu, Jiayu Chen, Anees Abrol, Peter Kochunov, Dongdong Lin, Jing Sui, Ying Xing, Elizabeth Osuch and Yuhui Du and has published in prestigious journals such as Human Brain Mapping, BioMed Research International and NeuroImage Clinical.

In The Last Decade

Md Abdur Rahaman

15 papers receiving 349 citations

Hit Papers

NeuroMark: An automated and adaptive ICA based pipeline t... 2020 2026 2022 2024 2020 50 100 150 200
What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

  1. NeuroMark: An automated and adaptive ICA based pipeline to identify reproducible fMRI markers of brain disorders
    2020 215 citations Yuhui Du, Zening Fu et al. NeuroImage Clinical profile →

Peers

Md Abdur Rahaman
Tong He Singapore
Juha Pajula Finland
Kamlesh Jha India
Maite Termenón Spain
Biao Cai United States
Lijun An Singapore
Xu Ma China
Darya Chyzhyk Spain
Nguyen Thanh Duc South Korea
Tong He Singapore
Md Abdur Rahaman
Citations per year, relative to Md Abdur Rahaman Md Abdur Rahaman (= 1×) peers Tong He

Countries citing papers authored by Md Abdur Rahaman

Since Specialization
Citations

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

Fields of papers citing papers by Md Abdur Rahaman

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Md Abdur Rahaman

This figure shows the co-authorship network connecting the top 25 collaborators of Md Abdur Rahaman. A scholar is included among the top collaborators of Md Abdur Rahaman 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 Abdur Rahaman. Md Abdur Rahaman is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

17 of 17 papers shown
1.
2.
Rahaman, Md Abdur, Armin Iraji, Zening Fu, et al.. (2024). Imaging‐genomic spatial‐modality attentive fusion for studying neuropsychiatric disorders. Human Brain Mapping. 45(17). e26799–e26799. 2 indexed citations
3.
Rahaman, Md Abdur, Zening Fu, Armin Iraji, & Vince D. Calhoun. (2024). SpaDE: Semantic Locality Preserving Biclustering for Neuroimaging Data. PubMed. 2024. 1–5.
4.
5.
Rahaman, Md Abdur, Zening Fu, Armin Iraji, & Vince D. Calhoun. (2024). A Deep Biclustering Framework for Brain Network Analysis. 5075–5085.
6.
Ali, Md. Mamun, Md Abdur Rahaman, Sami Azam, et al.. (2023). Machine Learning‐Based Model to Predict Heart Disease in Early Stage Employing Different Feature Selection Techniques. BioMed Research International. 2023(1). 33 indexed citations
7.
Rahaman, Md Abdur, Md. Mamun Ali, Kawsar Ahmed, Francis M. Bui, & Sakib Mahmud. (2022). Performance Analysis between YOLOv5s and YOLOv5m Model to Detect and Count Blood Cells: Deep Learning Approach. 316–322. 4 indexed citations
8.
Rahaman, Md Abdur, Jiayu Chen, Zening Fu, et al.. (2022). Deep multimodal predictome for studying mental disorders. Human Brain Mapping. 44(2). 509–522. 23 indexed citations
9.
Rahaman, Md Abdur, et al.. (2022). Longitudinal Whole-Brain Functional Network Change Patterns Over A Two-Year Period In The ABCD Data. 2022 IEEE 19th International Symposium on Biomedical Imaging (ISBI). 28. 1–4. 2 indexed citations
10.
Rahaman, Md Abdur, et al.. (2022). Statelets: Capturing recurrent transient variations in dynamic functional network connectivity. Human Brain Mapping. 43(8). 2503–2518. 5 indexed citations
11.
Rahaman, Md Abdur, Jiayu Chen, Kuaikuai Duan, et al.. (2022). A deep generative multimodal imaging genomics framework for Alzheimer's disease prediction. 41–44. 8 indexed citations
12.
Rahaman, Md Abdur, et al.. (2022). Two-Dimensional Attentive Fusion for Multi-Modal Learning of Neuroimaging and Genomics Data. 1–6. 2 indexed citations
13.
Rahaman, Md Abdur, Eswar Damaraju, Jessica A. Turner, et al.. (2021). Tri-Clustering Dynamic Functional Network Connectivity Identifies Significant Schizophrenia Effects Across Multiple States in Distinct Subgroups of Individuals. Brain Connectivity. 12(1). 61–73. 10 indexed citations
14.
Rahaman, Md Abdur, et al.. (2021). Multi-modal deep learning of functional and structural neuroimaging and genomic data to predict mental illness. 2021 43rd Annual International Conference of the IEEE Engineering in Medicine & Biology Society (EMBC). 2021. 3267–3272. 26 indexed citations
15.
Du, Yuhui, Zening Fu, Jing Sui, et al.. (2020). NeuroMark: An automated and adaptive ICA based pipeline to identify reproducible fMRI markers of brain disorders. NeuroImage Clinical. 28. 102375–102375. 215 indexed citations breakdown →
16.
Rahaman, Md Abdur, et al.. (2014). An algorithm to detect and identify defects of industrial pipes using image processing. 1–6. 10 indexed citations
17.
Acharjya, D. P., et al.. (2012). Prediction of Missing Associations Using Rough Computing and Bayesian Classification. International Journal of Intelligent Systems and Applications. 4(11). 1–13. 13 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.

Explore authors with similar magnitude of impact

Breakdown of academic impact, for papers by Tong He Breakdown of academic impact, for papers by Juha Pajula Breakdown of academic impact, for papers by Kamlesh Jha Breakdown of academic impact, for papers by Maite Termenón Breakdown of academic impact, for papers by Biao Cai Breakdown of academic impact, for papers by Lijun An Breakdown of academic impact, for papers by Xu Ma Breakdown of academic impact, for papers by Darya Chyzhyk Breakdown of academic impact, for papers by Nguyen Thanh Duc
Rankless by CCL
2026