Muhammad Arif
- Artificial Intelligence top 2%
- Computer Vision and Pattern Recognition top 2%
- Cardiology and Cardiovascular Medicine top 5%
- Biomedical Engineering top 10%
- Electrical and Electronic Engineering top 10%
- Co-authors
- Wajid AzizFayyaz A. AfsarAhmed KattanShahaboddin ShamshirbandDalibor PetkovićSudheer ChHikaru InookaFayyaz Minhas
- Topics
- ECG Monitoring and Analysis (13 papers)Iterative Learning Control Systems (13 papers)EEG and Brain-Computer Interfaces (11 papers)
- Cited by
- Computer Vision and Pattern RecognitionSignal ProcessingCardiology and Cardiovascular Medicine
- Journals
- SHILAP Revista de lepidopterologíaPLoS ONEAutomatica
- Partner nations
- PakistanSaudi ArabiaJapan
In The Last Decade
Muhammad Arif
138 papers receiving 2.4k citations
Hit Papers
Peers
Comparison fields: 5 of 149
- Artificial Intelligence 571
- Computer Vision and Pattern Recognition 426
- Cardiology and Cardiovascular Medicine 414
- Biomedical Engineering 388
- Electrical and Electronic Engineering 333
Countries citing papers authored by Muhammad Arif
This map shows the geographic impact of Muhammad Arif'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 Arif with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Muhammad Arif more than expected).
Fields of papers citing papers by Muhammad Arif
This network shows the impact of papers produced by Muhammad Arif. 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 Arif. The network helps show where Muhammad Arif may publish in the future.
Co-authorship network of co-authors of Muhammad Arif
This figure shows the co-authorship network connecting the top 25 collaborators of Muhammad Arif. A scholar is included among the top collaborators of Muhammad Arif 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 Arif. Muhammad Arif is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 1 | |
| 3 | 0 | |
| 4 | 14 | |
| 5 | 0 | |
| 6 | 0 | |
| 7 | 1 | |
| 8 | 29 | |
| 9 | 2 | |
| 10 | 5 | |
| 11 | 3 | |
| 12 | 7 | |
| 13 | 35 | |
| 14 | 1 | |
| 15 | 3 | |
| 16 | 7 | |
| 17 | PENGEMBANGAN SISTEM INFORMASI PRAKTIKUM LABORATORIUM JARINGAN KOMPUTER TEKNIK ELEKTRO | 1 |
| 18 | 74 | |
| 19 | 13 | |
| 20 | Identification of linear time varying systems based on 2-D model | 2 |
About Muhammad Arif
Muhammad Arif is a scholar working on Computer Vision and Pattern Recognition, Signal Processing and Physical Therapy, Sports Therapy and Rehabilitation, having authored 150 papers that have together received 2.5k indexed citations. Recurring topics across this work include ECG Monitoring and Analysis (13 papers), Iterative Learning Control Systems (13 papers) and EEG and Brain-Computer Interfaces (11 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (426 citations), Signal Processing (213 citations) and Cardiology and Cardiovascular Medicine (414 citations). Muhammad Arif has collaborated with scholars based in Pakistan, Saudi Arabia and Japan. Frequent co-authors include Wajid Aziz, Fayyaz A. Afsar, Ahmed Kattan, Shahaboddin Shamshirband, Dalibor Petković, Sudheer Ch, Hikaru Inooka, Fayyaz Minhas, Kasra Mohammadi and Wen Tong Chong. Their work appears in journals such as SHILAP Revista de lepidopterología, PLoS ONE and Automatica.
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.