Muhammad Habib
- Cognitive Neuroscience top 2%
- Cellular and Molecular Neuroscience top 5%
- Statistical and Nonlinear Physics top 5%
- Artificial Intelligence top 10%
- Radiology, Nuclear Medicine and Imaging
- Co-authors
- A AertsenG. PalmGeorge L. GersteinA. ThavaneswaranAyyaz HussainPranab Kumar SenMuhammad Tahir NaseemAsim Munir
- Topics
- stochastic dynamics and bifurcation (5 papers)Neural dynamics and brain function (4 papers)Image and Signal Denoising Methods (3 papers)
- Journals
- SHILAP Revista de lepidopterologíaJournal of NeurophysiologySignal Processing
- Partner nations
- United StatesPakistanCanada
In The Last Decade
Muhammad Habib
13 papers receiving 883 citations
Hit Papers
Peers
Comparison fields: 5 of 92
- Cognitive Neuroscience 775
- Cellular and Molecular Neuroscience 397
- Statistical and Nonlinear Physics 125
- Artificial Intelligence 97
- Radiology, Nuclear Medicine and Imaging 74
Countries citing papers authored by Muhammad Habib
This map shows the geographic impact of Muhammad Habib'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 Habib with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Muhammad Habib more than expected).
Fields of papers citing papers by Muhammad Habib
This network shows the impact of papers produced by Muhammad Habib. 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 Habib. The network helps show where Muhammad Habib may publish in the future.
Co-authorship network of co-authors of Muhammad Habib
This figure shows the co-authorship network connecting the top 25 collaborators of Muhammad Habib. A scholar is included among the top collaborators of Muhammad Habib 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 Habib. Muhammad Habib is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 1 | |
| 3 | 5 | |
| 4 | 19 | |
| 5 | 4 | |
| 6 | A computational machine for optimal parsimonious hybrid models of e-text classification | 1 |
| 7 | Software Reliability Analysis Using Parametric and Non-Parametric Methods. | 3 |
| 8 | 3 | |
| 9 | 4 | |
| 10 | 8 | |
| 11 | 11 | |
| 12 | Dynamics of neuronal firing correlation: modulation of "effective connectivity"breakdown → | 831 |
| 13 | Stochastic models and estimation of subthreshold neuronal activity | 1 |
| 14 | Non-stationary stochastic point-process models in neurophysiology with applications to learning | 10 |
About Muhammad Habib
Muhammad Habib is a scholar working on Statistical and Nonlinear Physics, Software and Media Technology, having authored 14 papers that have together received 901 indexed citations. Recurring topics across this work include stochastic dynamics and bifurcation (5 papers), Neural dynamics and brain function (4 papers) and Image and Signal Denoising Methods (3 papers). The work is most often cited by research in Cognitive Neuroscience (775 citations), Cellular and Molecular Neuroscience (397 citations) and Statistical and Nonlinear Physics (125 citations). Muhammad Habib has collaborated with scholars based in United States, Pakistan and Canada. Frequent co-authors include A Aertsen, G. Palm, George L. Gerstein, A. Thavaneswaran, Ayyaz Hussain, Pranab Kumar Sen, Muhammad Tahir Naseem, Asim Munir, Muhammad Nadeem and Sultan Aljahdali. Their work appears in journals such as SHILAP Revista de lepidopterología, Journal of Neurophysiology and Signal Processing.
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.