Hammad Majeed
- Artificial Intelligence top 10%
- Computer Vision and Pattern Recognition top 10%
- Information Systems top 10%
- Computer Networks and Communications
- Sociology and Political Science
- Co-authors
- Humayun IrshadMirza Omer BegConor RyanHasan MujtabaFarrukh Aslam KhanMuhammad TariqAbdelouahid DerhabIrfan Mehmood
- Topics
- Metaheuristic Optimization Algorithms Research (8 papers)Evolutionary Algorithms and Applications (8 papers)Radiomics and Machine Learning in Medical Imaging (4 papers)
- Partner nations
- PakistanIrelandSaudi Arabia
In The Last Decade
Hammad Majeed
26 papers receiving 327 citations
Peers
Comparison fields: 5 of 81
- Artificial Intelligence 160
- Computer Vision and Pattern Recognition 120
- Information Systems 56
- Computer Networks and Communications 40
- Sociology and Political Science 34
Countries citing papers authored by Hammad Majeed
This map shows the geographic impact of Hammad Majeed'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 Hammad Majeed with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Hammad Majeed more than expected).
Fields of papers citing papers by Hammad Majeed
This network shows the impact of papers produced by Hammad Majeed. 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 Hammad Majeed. The network helps show where Hammad Majeed may publish in the future.
Co-authorship network of co-authors of Hammad Majeed
This figure shows the co-authorship network connecting the top 25 collaborators of Hammad Majeed. A scholar is included among the top collaborators of Hammad Majeed 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 Hammad Majeed. Hammad Majeed is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 7 | |
| 2 | 14 | |
| 3 | 10 | |
| 4 | 5 | |
| 5 | 27 | |
| 6 | 13 | |
| 7 | 7 | |
| 8 | 13 | |
| 9 | 17 | |
| 10 | 11 | |
| 11 | 4 | |
| 12 | 1 | |
| 13 | 5 | |
| 14 | 19 | |
| 15 | 1 | |
| 16 | 11 | |
| 17 | 6 | |
| 18 | 1 | |
| 19 | 4 | |
| 20 | 11 |
About Hammad Majeed
Hammad Majeed is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Software, having authored 27 papers that have together received 347 indexed citations. Recurring topics across this work include Metaheuristic Optimization Algorithms Research (8 papers), Evolutionary Algorithms and Applications (8 papers) and Radiomics and Machine Learning in Medical Imaging (4 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (120 citations), Artificial Intelligence (160 citations) and Media Technology (30 citations). Hammad Majeed has collaborated with scholars based in Pakistan, Ireland and Saudi Arabia. Frequent co-authors include Humayun Irshad, Mirza Omer Beg, Conor Ryan, Hasan Mujtaba, Farrukh Aslam Khan, Muhammad Tariq, Abdelouahid Derhab, Irfan Mehmood, Naveed Ejaz and Qaisar Javaid. Their work appears in journals such as Future Generation Computer Systems, Applied Sciences and Neural Computing and Applications.
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.