Muhammad Ali Qureshi
- Computer Vision and Pattern Recognition top 2%
- Electrical and Electronic Engineering
- Media Technology top 2%
- Plant Science
- Artificial Intelligence top 10%
- Co-authors
- Mohamed DericheAzeddine BeghdadiMuhammad AmjadEl-Sayed M. El-AlfyMuhammad Zahid LatifAsjad AminAshiq HussainNajeeb Alam Khan
- Topics
- Image and Video Quality Assessment (11 papers)Image Enhancement Techniques (10 papers)Digital Media Forensic Detection (9 papers)
- Journals
- SHILAP Revista de lepidopterologíaIEEE AccessEnergies
- Partner nations
- PakistanSaudi ArabiaFrance
In The Last Decade
Muhammad Ali Qureshi
88 papers receiving 1.2k citations
Peers
Comparison fields: 5 of 132
- Computer Vision and Pattern Recognition 522
- Electrical and Electronic Engineering 248
- Media Technology 177
- Plant Science 131
- Artificial Intelligence 92
Countries citing papers authored by Muhammad Ali Qureshi
This map shows the geographic impact of Muhammad Ali Qureshi'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 Ali Qureshi with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Muhammad Ali Qureshi more than expected).
Fields of papers citing papers by Muhammad Ali Qureshi
This network shows the impact of papers produced by Muhammad Ali Qureshi. 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 Ali Qureshi. The network helps show where Muhammad Ali Qureshi may publish in the future.
Co-authorship network of co-authors of Muhammad Ali Qureshi
This figure shows the co-authorship network connecting the top 25 collaborators of Muhammad Ali Qureshi. A scholar is included among the top collaborators of Muhammad Ali Qureshi 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 Ali Qureshi. Muhammad Ali Qureshi 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 | 9 | |
| 3 | 0 | |
| 4 | 3 | |
| 5 | 1 | |
| 6 | 2 | |
| 7 | 1 | |
| 8 | 3 | |
| 9 | 3 | |
| 10 | 5 | |
| 11 | 3 | |
| 12 | 37 | |
| 13 | 15 | |
| 14 | 8 | |
| 15 | 9 | |
| 16 | Probe Pattern Inaccuracy in Multilevel Plane Wave Based Near-Field Far-Field Transformed Planar Near-Field Measurements | 1 |
| 17 | 8 | |
| 18 | Risk Factors for Kernicterus in Neonatal Jaundice | 11 |
| 19 | Frequency of Depression in Migraine Patients | 0 |
| 20 | Co-inoculation with Mesorhizobium ciceri and Azotobacter chroococcum for improving growth, nodulation and yield of chickpea (Cicer arietinum L.) | 15 |
About Muhammad Ali Qureshi
Muhammad Ali Qureshi is a scholar working on Computer Vision and Pattern Recognition, Statistical and Nonlinear Physics and Media Technology, having authored 98 papers that have together received 1.2k indexed citations. Recurring topics across this work include Image and Video Quality Assessment (11 papers), Image Enhancement Techniques (10 papers) and Digital Media Forensic Detection (9 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (522 citations), Media Technology (177 citations) and Biophysics (48 citations). Muhammad Ali Qureshi has collaborated with scholars based in Pakistan, Saudi Arabia and France. Frequent co-authors include Mohamed Deriche, Azeddine Beghdadi, Muhammad Amjad, El-Sayed M. El-Alfy, Muhammad Zahid Latif, Asjad Amin, Ashiq Hussain, Najeeb Alam Khan, Zunaib Maqsood Haider and Abdul Aziz. Their work appears in journals such as SHILAP Revista de lepidopterología, IEEE Access and Energies.
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.