Ali Mustafa Qamar
- Artificial Intelligence top 5%
- Information Systems top 2%
- Computer Networks and Communications top 5%
- Water Science and Technology top 10%
- Plant Science
- Co-authors
- Rehan Ullah KhanNadeem JavaidMuhammad Khalil AfzalWaleed AlbattahKhalil KhanHirra AnwarRafia MumtazMuhammad Shafiq
- Topics
- Sentiment Analysis and Opinion Mining (13 papers)Advanced Text Analysis Techniques (13 papers)Text and Document Classification Technologies (8 papers)
- Journals
- IEEE AccessSensorsSustainability
- Partner nations
- Saudi ArabiaPakistanAustralia
In The Last Decade
Ali Mustafa Qamar
61 papers receiving 961 citations
Peers
Comparison fields: 5 of 118
- Artificial Intelligence 307
- Information Systems 278
- Computer Networks and Communications 166
- Water Science and Technology 145
- Plant Science 134
Countries citing papers authored by Ali Mustafa Qamar
This map shows the geographic impact of Ali Mustafa Qamar'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 Ali Mustafa Qamar with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ali Mustafa Qamar more than expected).
Fields of papers citing papers by Ali Mustafa Qamar
This network shows the impact of papers produced by Ali Mustafa Qamar. 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 Ali Mustafa Qamar. The network helps show where Ali Mustafa Qamar may publish in the future.
Co-authorship network of co-authors of Ali Mustafa Qamar
This figure shows the co-authorship network connecting the top 25 collaborators of Ali Mustafa Qamar. A scholar is included among the top collaborators of Ali Mustafa Qamar 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 Ali Mustafa Qamar. Ali Mustafa Qamar 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 | 3 | |
| 4 | 1 | |
| 5 | 1 | |
| 6 | 2 | |
| 7 | 0 | |
| 8 | 4 | |
| 9 | 30 | |
| 10 | 6 | |
| 11 | 3 | |
| 12 | 45 | |
| 13 | 77 | |
| 14 | 2 | |
| 15 | Variability, heritability and genetic advance studies in some indigenous genotypes of basmati rice (Oryza sativa L.). | 8 |
| 16 | CHARACTER ASSOCIATION AND PATH ANALYSIS STUDIES OF YIELD AND QUALITY PARAMETERS IN BASMATI RICE (ORYZA SATIVA L.) | 11 |
| 17 | 17 | |
| 18 | 6 | |
| 19 | 21 | |
| 20 | 9 |
About Ali Mustafa Qamar
Ali Mustafa Qamar is a scholar working on Artificial Intelligence, Information Systems and Computer Vision and Pattern Recognition, having authored 64 papers that have together received 1.0k indexed citations. Recurring topics across this work include Sentiment Analysis and Opinion Mining (13 papers), Advanced Text Analysis Techniques (13 papers) and Text and Document Classification Technologies (8 papers). The work is most often cited by research in Information Systems (278 citations), Marketing (96 citations) and Water Science and Technology (145 citations). Ali Mustafa Qamar has collaborated with scholars based in Saudi Arabia, Pakistan and Australia. Frequent co-authors include Rehan Ullah Khan, Nadeem Javaid, Muhammad Khalil Afzal, Waleed Albattah, Khalil Khan, Hirra Anwar, Rafia Mumtaz, Muhammad Shafiq, Fahad Ahmed Al-Zahrani and Rabiya Khalid. Their work appears in journals such as IEEE Access, Sensors and Sustainability.
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.