Imran Ahmed
- Artificial Intelligence top 2%
- Computer Vision and Pattern Recognition top 1%
- Computer Networks and Communications top 2%
- Electrical and Electronic Engineering top 10%
- Radiology, Nuclear Medicine and Imaging top 5%
- Co-authors
- Gwanggil JeonFrancesco PiccialliMisbah AhmadAwais AhmadAbdellah ChehriMd Mizanur RahmanAwais AdnanKhalid Haseeb
- Topics
- Video Surveillance and Tracking Methods (25 papers)Advanced Neural Network Applications (15 papers)COVID-19 diagnosis using AI (13 papers)
- Cited by
- Health InformaticsComputer Vision and Pattern RecognitionComputer Networks and Communications
- Partner nations
- PakistanSouth KoreaUnited Kingdom
In The Last Decade
Imran Ahmed
130 papers receiving 3.4k citations
Hit Papers
Peers
Comparison fields: 5 of 165
- Artificial Intelligence 787
- Computer Vision and Pattern Recognition 756
- Computer Networks and Communications 667
- Electrical and Electronic Engineering 562
- Radiology, Nuclear Medicine and Imaging 410
Countries citing papers authored by Imran Ahmed
This map shows the geographic impact of Imran Ahmed'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 Imran Ahmed with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Imran Ahmed more than expected).
Fields of papers citing papers by Imran Ahmed
This network shows the impact of papers produced by Imran Ahmed. 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 Imran Ahmed. The network helps show where Imran Ahmed may publish in the future.
Co-authorship network of co-authors of Imran Ahmed
This figure shows the co-authorship network connecting the top 25 collaborators of Imran Ahmed. A scholar is included among the top collaborators of Imran Ahmed 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 Imran Ahmed. Imran Ahmed 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 | 1 | |
| 4 | 1 | |
| 5 | 1 | |
| 6 | 18 | |
| 7 | 23 | |
| 8 | 26 | |
| 9 | 22 | |
| 10 | 19 | |
| 11 | From Artificial Intelligence to Explainable Artificial Intelligence in Industry 4.0: A Survey on What, How, and Wherebreakdown → | 430 |
| 12 | 6 | |
| 13 | 37 | |
| 14 | 8 | |
| 15 | 78 | |
| 16 | 47 | |
| 17 | 62 | |
| 18 | 81 | |
| 19 | 98 | |
| 20 | 5 |
About Imran Ahmed
Imran Ahmed is a scholar working on Health Informatics, Computer Vision and Pattern Recognition and Computer Networks and Communications, having authored 136 papers that have together received 3.5k indexed citations. Recurring topics across this work include Video Surveillance and Tracking Methods (25 papers), Advanced Neural Network Applications (15 papers) and COVID-19 diagnosis using AI (13 papers). The work is most often cited by research in Health Informatics (103 citations), Computer Vision and Pattern Recognition (756 citations) and Computer Networks and Communications (667 citations). Imran Ahmed has collaborated with scholars based in Pakistan, South Korea and United Kingdom. Frequent co-authors include Gwanggil Jeon, Francesco Piccialli, Misbah Ahmad, Awais Ahmad, Misbah Ahmad, Abdellah Chehri, Md Mizanur Rahman, Awais Adnan, Khalid Haseeb and Md. Nabiul Islam Khan. Their work appears in journals such as Nature Communications, Global Change Biology and IEEE Access.
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.