Usman Tariq
- Artificial Intelligence top 0.5%
- Computer Vision and Pattern Recognition top 0.5%
- Computer Networks and Communications top 1%
- Radiology, Nuclear Medicine and Imaging top 2%
- Neurology top 1%
- Co-authors
- Muhammad Attique KhanAmjad RehmanTanzila SabaAli Kashif BashirMajed AlhaisoniNoor AyeshaRobertas DamaševičiusSeifedine Kadry
- Topics
- IoT and Edge/Fog Computing (30 papers)Network Security and Intrusion Detection (25 papers)AI in cancer detection (21 papers)
- Journals
- SHILAP Revista de lepidopterologíaIEEE AccessSensors
- Partner nations
- Saudi ArabiaPakistanSouth Korea
In The Last Decade
Usman Tariq
238 papers receiving 5.1k citations
Hit Papers
Peers
Comparison fields: 5 of 193
- Artificial Intelligence 1.9k
- Computer Vision and Pattern Recognition 1.4k
- Computer Networks and Communications 1.1k
- Radiology, Nuclear Medicine and Imaging 879
- Neurology 644
Countries citing papers authored by Usman Tariq
This map shows the geographic impact of Usman Tariq'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 Usman Tariq with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Usman Tariq more than expected).
Fields of papers citing papers by Usman Tariq
This network shows the impact of papers produced by Usman Tariq. 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 Usman Tariq. The network helps show where Usman Tariq may publish in the future.
Co-authorship network of co-authors of Usman Tariq
This figure shows the co-authorship network connecting the top 25 collaborators of Usman Tariq. A scholar is included among the top collaborators of Usman Tariq 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 Usman Tariq. Usman Tariq 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 | 0 | |
| 3 | 10 | |
| 4 | 1 | |
| 5 | 6 | |
| 6 | 12 | |
| 7 | 6 | |
| 8 | 1 | |
| 9 | 4 | |
| 10 | 23 | |
| 11 | 15 | |
| 12 | 2 | |
| 13 | 5 | |
| 14 | 3 | |
| 15 | 4 | |
| 16 | 10 | |
| 17 | 39 | |
| 18 | A Novel PCA-Firefly Based XGBoost Classification Model for Intrusion Detection in Networks Using GPUbreakdown → | 252 |
| 19 | 15 | |
| 20 | 8 |
About Usman Tariq
Usman Tariq is a scholar working on Computer Networks and Communications, Computer Vision and Pattern Recognition and Artificial Intelligence, having authored 247 papers that have together received 5.4k indexed citations. Recurring topics across this work include IoT and Edge/Fog Computing (30 papers), Network Security and Intrusion Detection (25 papers) and AI in cancer detection (21 papers). The work is most often cited by research in Neurology (644 citations), Computer Vision and Pattern Recognition (1.4k citations) and Artificial Intelligence (1.9k citations). Usman Tariq has collaborated with scholars based in Saudi Arabia, Pakistan and South Korea. Frequent co-authors include Muhammad Attique Khan, Amjad Rehman, Tanzila Saba, Ali Kashif Bashir, Majed Alhaisoni, Noor Ayesha, Robertas Damaševičius, Seifedine Kadry, Praveen Kumar Reddy Maddikunta and Thippa Reddy Gadekallu. Their work appears in journals such as SHILAP Revista de lepidopterología, IEEE Access and Sensors.
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.