Sadman Sakib

568 total citations
17 papers, 393 citations indexed

About

Sadman Sakib is a scholar working on Cardiology and Cardiovascular Medicine, Biomedical Engineering and Cognitive Neuroscience. According to data from OpenAlex, Sadman Sakib has authored 17 papers receiving a total of 393 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Cardiology and Cardiovascular Medicine, 5 papers in Biomedical Engineering and 4 papers in Cognitive Neuroscience. Recurrent topics in Sadman Sakib's work include ECG Monitoring and Analysis (5 papers), Non-Invasive Vital Sign Monitoring (5 papers) and EEG and Brain-Computer Interfaces (4 papers). Sadman Sakib is often cited by papers focused on ECG Monitoring and Analysis (5 papers), Non-Invasive Vital Sign Monitoring (5 papers) and EEG and Brain-Computer Interfaces (4 papers). Sadman Sakib collaborates with scholars based in Canada, United States and Egypt. Sadman Sakib's co-authors include Mostafa M. Fouda, Zubair Md. Fadlullah, Mohsen Guizani, Nidal Nasser, Kohei Hatano, Xuemin Shen, Sherief Hashima, Waleed Alasmary, Khalid Abualsaud and Elias Yaacoub and has published in prestigious journals such as The Journal of the Acoustical Society of America, IEEE Access and IEEE Transactions on Vehicular Technology.

In The Last Decade

Sadman Sakib

17 papers receiving 377 citations

Peers

Countries citing papers authored by Sadman Sakib

Since Specialization

Citations

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

Fields of papers citing papers by Sadman Sakib

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Sadman Sakib

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

All Works

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17 of 17 papers shown

#	Work	Indexed citations
1	DeepBend: An interpretable model of DNA bendability 2023 ·iScience ·(unknown), Sadman Sakib, M. Sohel Rahman, Md. Abul Hassan Samee	5
2	Energy-Aware Hybrid RF-VLC Multiband Selection in D2D Communication: A Stochastic Multiarmed Bandit Approach 2022 ·IEEE Internet of Things Journal ·Sherief Hashima, Mostafa M. Fouda, Sadman Sakib, Zubair Md. Fadlullah, Kohei Hatano, Ehab Mahmoud Mohamed, Xuemin Shen	25
3	Optimal Channel Selection in Hybrid RF/VLC Networks: A Multi-Armed Bandit Approach 2022 ·IEEE Transactions on Vehicular Technology ·Mostafa M. Fouda, Sherief Hashima, Sadman Sakib, Zubair Md. Fadlullah, Kohei Hatano, Xuemin Shen	22
4	MERIDIAN open-source software for deep learning-based acoustic data analysis 2022 ·The Journal of the Acoustical Society of America ·O. S. Kirsebom, Fábio Frazão, (unknown), Sadman Sakib, (unknown), Stan Matwin	1
5	A Lightweight Hierarchical AI Model for UAV-Enabled Edge Computing with Forest-Fire Detection Use-Case 2022 ·IEEE Network ·Mostafa M. Fouda, Sadman Sakib, Zubair Md. Fadlullah, Nidal Nasser, Mohsen Guizani	26
6	A Proof-of-Concept of Ultra-Edge Smart IoT Sensor: A Continuous and Lightweight Arrhythmia Monitoring Approach 2021 ·IEEE Access ·Sadman Sakib, Mostafa M. Fouda, Zubair Md. Fadlullah, Nidal Nasser, Waleed Alasmary	29
7	Deep Learning Models for Magnetic Cardiography Edge Sensors Implementing Noise Processing and Diagnostics 2021 ·IEEE Access ·Sadman Sakib, Mostafa M. Fouda, (unknown), Attayeb Mohsen, Mikihiko Oogane, Yasuo Ando, Zubair Md. Fadlullah	11
8	A Rigorous Analysis of Biomedical Edge Computing: An Arrhythmia Classification Use-Case Leveraging Deep Learning 2021 ·Sadman Sakib, Mostafa M. Fouda, Zubair Md. Fadlullah	12
9	On COVID-19 Prediction Using Asynchronous Federated Learning-Based Agile Radiograph Screening Booths 2021 ·Sadman Sakib, Mostafa M. Fouda, Zubair Md. Fadlullah, Nidal Nasser	19
10	Noise-Removal from Spectrally-Similar Signals Using Reservoir Computing for MCG Monitoring 2021 ·Sadman Sakib, Mostafa M. Fouda, (unknown), Attayeb Mohsen, Mikihiko Oogane, Yasuo Ando, Zubair Md. Fadlullah	10
11	Ketos—A deep learning package for creating acoustic detectors and classifiers 2021 ·The Journal of the Acoustical Society of America ·O. S. Kirsebom, Fábio Frazão, (unknown), Sadman Sakib, Stan Matwin	7
12	Asynchronous Federated Learning-based ECG Analysis for Arrhythmia Detection 2021 ·Qatar University QSpace (Qatar University) ·Sadman Sakib, Mostafa M. Fouda, Zubair Md. Fadlullah, Khalid Abualsaud, Elias Yaacoub, Mohsen Guizani	26
13	DL-CRC: Deep Learning-Based Chest Radiograph Classification for COVID-19 Detection: A Novel Approach 2020 ·IEEE Access ·Sadman Sakib, (unknown), Mostafa M. Fouda, Zubair Md. Fadlullah, Mohsen Guizani	120
14	A Deep Learning Method for Predictive Channel Assignment in Beyond 5G Networks 2020 ·IEEE Network ·Sadman Sakib, (unknown), Mostafa M. Fouda, Zubair Md. Fadlullah, Nidal Nasser	26
15	Migrating Intelligence from Cloud to Ultra-Edge Smart IoT Sensor Based on Deep Learning: An Arrhythmia Monitoring Use-Case 2020 ·Sadman Sakib, Mostafa M. Fouda, Zubair Md. Fadlullah, Nidal Nasser	22
16	An Efficient and Lightweight Predictive Channel Assignment Scheme for Multiband B5G-Enabled Massive IoT: A Deep Learning Approach 2020 ·IEEE Internet of Things Journal ·Sadman Sakib, (unknown), Mostafa M. Fouda, Zubair Md. Fadlullah, Nidal Nasser	26
17	Species Identification using DNA Barcode Sequences through Supervised Learning Methods 2019 ·(unknown), Sadman Sakib	6

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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