Muhammad Kaleem

404 total citations
20 papers, 277 citations indexed

About

Muhammad Kaleem is a scholar working on Signal Processing, Control and Systems Engineering and Cognitive Neuroscience. According to data from OpenAlex, Muhammad Kaleem has authored 20 papers receiving a total of 277 indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Signal Processing, 8 papers in Control and Systems Engineering and 8 papers in Cognitive Neuroscience. Recurrent topics in Muhammad Kaleem's work include Blind Source Separation Techniques (9 papers), Machine Fault Diagnosis Techniques (8 papers) and EEG and Brain-Computer Interfaces (7 papers). Muhammad Kaleem is often cited by papers focused on Blind Source Separation Techniques (9 papers), Machine Fault Diagnosis Techniques (8 papers) and EEG and Brain-Computer Interfaces (7 papers). Muhammad Kaleem collaborates with scholars based in Canada, Pakistan and United States. Muhammad Kaleem's co-authors include Sridhar Krishnan, Aziz Guergachi, Behnaz Ghoraani, Dharmendra Gurve, NAWAZ MOHAMUDALLY, Virendra Mishra, Karthik Sreenivasan, Zhengshi Yang, Dietmar Cordes and Xiaowei Zhuang and has published in prestigious journals such as Energies, Frontiers in Neuroscience and Journal of Neural Engineering.

In The Last Decade

Muhammad Kaleem

20 papers receiving 256 citations

Peers

Countries citing papers authored by Muhammad Kaleem

Since Specialization

Citations

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

Fields of papers citing papers by Muhammad Kaleem

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Muhammad Kaleem

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

All Works

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20 of 20 papers shown

#	Work	Indexed citations
1	A Comprehensive Review of Intrusion Detection Systems in IoT Landscape 2025 ·Communications in computer and information science ·Muhammad Kaleem, (unknown), (unknown), (unknown)	1
2	A comprehensive survey on social engineering-based attacks on social networks 2024 ·International Journal of ADVANCED AND APPLIED SCIENCES ·Anam Naz, (unknown), Muhammad Kaleem, (unknown), (unknown)	4
3	EEG-based seizure prediction with machine learning 2022 ·Signal Image and Video Processing ·(unknown), Muhammad Kaleem	8
4	Application of Deep Learning Gated Recurrent Unit in Hybrid Shunt Active Power Filter for Power Quality Enhancement 2022 ·Energies ·(unknown), Ateeq Ur Rehman, Ahmad Almogren, Sayed M. Eldin, Muhammad Kaleem	8
5	Comparison of Empirical Mode Decomposition, Wavelets, and Different Machine Learning Approaches for Patient-Specific Seizure Detection Using Signal-Derived Empirical Dictionary Approach 2021 ·Frontiers in Digital Health ·Muhammad Kaleem, Aziz Guergachi, Sridhar Krishnan	6
6	Energy-Period Profiles of Brain Networks in Group fMRI Resting-State Data: A Comparison of Empirical Mode Decomposition With the Short-Time Fourier Transform and the Discrete Wavelet Transform 2021 ·Frontiers in Neuroscience ·Dietmar Cordes, Muhammad Kaleem, Zhengshi Yang, Xiaowei Zhuang, Tim Curran, Karthik Sreenivasan, Virendra Mishra, Rajesh Nandy, Ryan R. Walsh	16
7	Patient-specific seizure detection in long-term EEG using signal-derived empirical mode decomposition (EMD)-based dictionary approach 2018 ·Journal of Neural Engineering ·Muhammad Kaleem, Dharmendra Gurve, Aziz Guergachi, Sridhar Krishnan	31
8	Patient-specific seizure detection in long-term EEG using wavelet decomposition 2018 ·Biomedical Signal Processing and Control ·Muhammad Kaleem, Aziz Guergachi, Sridhar Krishnan	41
9	Advances in functional magnetic resonance imaging data analysis methods using Empirical Mode Decomposition to investigate temporal changes in early Parkinson's disease 2018 ·Alzheimer s & Dementia Translational Research & Clinical Interventions ·Dietmar Cordes, Xiaowei Zhuang, Muhammad Kaleem, Karthik Sreenivasan, Zhengshi Yang, Virendra Mishra, Sarah J. Banks, Brent Bluett, Jeffrey L. Cummings	33
10	Hierarchical decomposition based on a variation of empirical mode decomposition 2016 ·Signal Image and Video Processing ·Muhammad Kaleem, Aziz Guergachi, Sridhar Krishnan	7
11	Model of Energy Savings achievable with Location-aware Node-to-Node Transmission in UbiComp. 2014 ·Muhammad Kaleem, NAWAZ MOHAMUDALLY	6
12	Model of Energy Savings achievable with Location- aware Node-to-Node Transmission in UbiComp Using Location Refresh Intervals. 2014 ·Muhammad Kaleem, NAWAZ MOHAMUDALLY	5
13	Pathological speech signal analysis and classification using empirical mode decomposition 2013 ·Medical & Biological Engineering & Computing ·Muhammad Kaleem, Behnaz Ghoraani, Aziz Guergachi, Sridhar Krishnan	31
14	A variation of empirical mode decomposition with intelligent peak selection in short time windows 2013 ·Muhammad Kaleem, Aziz Guergachi, Sridhar Krishnan	4
15	Application of a variation of empirical mode decomposition and teager energy operator to EEG signals for mental task classification 2013 ·PubMed ·Muhammad Kaleem, Aziz Guergachi, Sridhar Krishnan	4
16	EEG seizure detection and epilepsy diagnosis using a novel variation of Empirical Mode Decomposition 2013 ·PubMed ·Muhammad Kaleem, Aziz Guergachi, Sridhar Krishnan	25
17	Empirical mode decomposition based sparse dictionary learning with application to signal classification 2013 ·Muhammad Kaleem, Aziz Guergachi, Sridhar Krishnan	13
18	Telephone-quality pathological speech classification using empirical mode decomposition 2011 ·PubMed ·Muhammad Kaleem, Behnaz Ghoraani, Aziz Guergachi, Sridhar Krishnan	7
19	Using a variation of empirical mode decomposition to remove noise from signals 2011 ·Bilkent University Institutional Repository (Bilkent University) ·Muhammad Kaleem, Aziz Guergachi, Sridhar Krishnan, A. Enis Çetin	6
20	Application of Empirical Mode Decomposition and Teager energy operator to EEG signals for mental task classification 2010 ·PubMed ·Muhammad Kaleem, (unknown), Aziz Guergachi, Sridhar Krishnan	21

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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