Muhammad Adeel Nisar
- Computer Vision and Pattern Recognition top 5%
- Biomedical Engineering
- Artificial Intelligence top 10%
- Computer Networks and Communications top 10%
- Signal Processing top 10%
- Co-authors
- Marcin GrzegorzekKimiaki ShirahamaFrédéric LiLukas KöpingXinyu HuangMuhammad Hassan KhanMarion RappMuhammad Shahid Farid
- Topics
- Context-Aware Activity Recognition Systems (8 papers)Non-Invasive Vital Sign Monitoring (3 papers)Human Pose and Action Recognition (3 papers)
- Journals
- SHILAP Revista de lepidopterologíaSensorsFrontiers in Psychology
In The Last Decade
Muhammad Adeel Nisar
17 papers receiving 469 citations
Peers
Comparison fields: 5 of 82
- Computer Vision and Pattern Recognition 266
- Biomedical Engineering 146
- Artificial Intelligence 115
- Computer Networks and Communications 84
- Signal Processing 56
Countries citing papers authored by Muhammad Adeel Nisar
This map shows the geographic impact of Muhammad Adeel Nisar'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 Adeel Nisar with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Muhammad Adeel Nisar more than expected).
Fields of papers citing papers by Muhammad Adeel Nisar
This network shows the impact of papers produced by Muhammad Adeel Nisar. 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 Adeel Nisar. The network helps show where Muhammad Adeel Nisar may publish in the future.
Co-authorship network of co-authors of Muhammad Adeel Nisar
This figure shows the co-authorship network connecting the top 25 collaborators of Muhammad Adeel Nisar. A scholar is included among the top collaborators of Muhammad Adeel Nisar 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 Adeel Nisar. Muhammad Adeel Nisar is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 2 | |
| 2 | 5 | |
| 3 | 3 | |
| 4 | 7 | |
| 5 | 11 | |
| 6 | 8 | |
| 7 | 1 | |
| 8 | 5 | |
| 9 | 18 | |
| 10 | 9 | |
| 11 | 16 | |
| 12 | 26 | |
| 13 | 12 | |
| 14 | 48 | |
| 15 | 42 | |
| 16 | 21 | |
| 17 | 243 |
About Muhammad Adeel Nisar
Muhammad Adeel Nisar is a scholar working on Human-Computer Interaction, Computer Vision and Pattern Recognition and Experimental and Cognitive Psychology, having authored 17 papers that have together received 477 indexed citations. Recurring topics across this work include Context-Aware Activity Recognition Systems (8 papers), Non-Invasive Vital Sign Monitoring (3 papers) and Human Pose and Action Recognition (3 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (266 citations), Human-Computer Interaction (31 citations) and Signal Processing (56 citations). Muhammad Adeel Nisar has collaborated with scholars based in Germany, Pakistan and Poland. Frequent co-authors include Marcin Grzegorzek, Kimiaki Shirahama, Frédéric Li, Lukas Köping, Xinyu Huang, Muhammad Hassan Khan, Marion Rapp, Muhammad Shahid Farid, Corinna Peifer and Anita Pollak. Their work appears in journals such as SHILAP Revista de lepidopterología, Sensors and Frontiers in Psychology.
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.