Muhammad Faisal Cheema
- Computer Vision and Pattern Recognition top 10%
- Human-Computer Interaction top 5%
- Artificial Intelligence
- Information Systems top 10%
- Literature and Literary Theory top 5%
- Co-authors
- Gerik ScheuermannStefan JänickeGreta FranziniUzair Iqbal JanjuaTahir Mustafa MadniFozia AnwarAhmad Raza ShahidMuhammad Noman Malik
- Topics
- Software Engineering Techniques and Practices (2 papers)Software Engineering Research (2 papers)Video Analysis and Summarization (2 papers)
- Cited by
- Human-Computer InteractionComputer Vision and Pattern RecognitionLiterature and Literary Theory
- Partner nations
- PakistanGermanySouth Korea
In The Last Decade
Muhammad Faisal Cheema
6 papers receiving 340 citations
Peers
Comparison fields: 5 of 99
- Computer Vision and Pattern Recognition 143
- Human-Computer Interaction 84
- Artificial Intelligence 78
- Information Systems 58
- Literature and Literary Theory 57
Countries citing papers authored by Muhammad Faisal Cheema
This map shows the geographic impact of Muhammad Faisal Cheema'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 Faisal Cheema with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Muhammad Faisal Cheema more than expected).
Fields of papers citing papers by Muhammad Faisal Cheema
This network shows the impact of papers produced by Muhammad Faisal Cheema. 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 Faisal Cheema. The network helps show where Muhammad Faisal Cheema may publish in the future.
Co-authorship network of co-authors of Muhammad Faisal Cheema
This figure shows the co-authorship network connecting the top 25 collaborators of Muhammad Faisal Cheema. A scholar is included among the top collaborators of Muhammad Faisal Cheema 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 Faisal Cheema. Muhammad Faisal Cheema 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 | 104 | |
| 3 | 18 | |
| 4 | 28 | |
| 5 | 14 | |
| 6 | 77 | |
| 7 | 137 |
About Muhammad Faisal Cheema
Muhammad Faisal Cheema is a scholar working on Software, Literature and Literary Theory and Human-Computer Interaction, having authored 7 papers that have together received 378 indexed citations. Recurring topics across this work include Software Engineering Techniques and Practices (2 papers), Software Engineering Research (2 papers) and Video Analysis and Summarization (2 papers). The work is most often cited by research in Human-Computer Interaction (84 citations), Computer Vision and Pattern Recognition (143 citations) and Literature and Literary Theory (57 citations). Muhammad Faisal Cheema has collaborated with scholars based in Pakistan, Germany and South Korea. Frequent co-authors include Gerik Scheuermann, Stefan Jänicke, Greta Franzini, Uzair Iqbal Janjua, Tahir Mustafa Madni, Fozia Anwar, Ahmad Raza Shahid, Muhammad Noman Malik, Jeongmin Park and Asaad Algarni. Their work appears in journals such as IEEE Access, IEEE Transactions on Visualization and Computer Graphics and Computer Graphics Forum.
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.