Irfan Mehmood
- Computer Vision and Pattern Recognition top 0.5%
- Artificial Intelligence top 1%
- Computer Networks and Communications top 2%
- Electrical and Electronic Engineering top 10%
- Safety, Risk, Reliability and Quality top 1%
- Co-authors
- Sung Wook BaikKhan MuhammadSeungmin RhoMuazzam MaqsoodMuhammad SajjadFarhan AadilJamil AhmadNaveed Ejaz
- Topics
- Advanced Image and Video Retrieval Techniques (14 papers)Video Analysis and Summarization (13 papers)Video Surveillance and Tracking Methods (8 papers)
- Journals
- SHILAP Revista de lepidopterologíaPLoS ONEComputers in Human Behavior
- Partner nations
- South KoreaPakistanUnited Kingdom
In The Last Decade
Irfan Mehmood
115 papers receiving 3.8k citations
Hit Papers
Peers
Comparison fields: 5 of 175
- Computer Vision and Pattern Recognition 1.6k
- Artificial Intelligence 921
- Computer Networks and Communications 555
- Electrical and Electronic Engineering 461
- Safety, Risk, Reliability and Quality 395
Countries citing papers authored by Irfan Mehmood
This map shows the geographic impact of Irfan Mehmood'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 Irfan Mehmood with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Irfan Mehmood more than expected).
Fields of papers citing papers by Irfan Mehmood
This network shows the impact of papers produced by Irfan Mehmood. 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 Irfan Mehmood. The network helps show where Irfan Mehmood may publish in the future.
Co-authorship network of co-authors of Irfan Mehmood
This figure shows the co-authorship network connecting the top 25 collaborators of Irfan Mehmood. A scholar is included among the top collaborators of Irfan Mehmood 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 Irfan Mehmood. Irfan Mehmood 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 | 0 | |
| 3 | 104 | |
| 4 | 33 | |
| 5 | 137 | |
| 6 | 51 | |
| 7 | 35 | |
| 8 | 13 | |
| 9 | Convolutional Neural Networks Based Fire Detection in Surveillance Videosbreakdown → | 379 |
| 10 | 145 | |
| 11 | 5 | |
| 12 | 59 | |
| 13 | 16 | |
| 14 | 51 | |
| 15 | 9 | |
| 16 | 5 | |
| 17 | 17 | |
| 18 | 71 | |
| 19 | 83 | |
| 20 | Economics of peri-urban radish production and marketing in Faisalabad. | 1 |
About Irfan Mehmood
Irfan Mehmood is a scholar working on Computer Vision and Pattern Recognition, Media Technology and Human-Computer Interaction, having authored 120 papers that have together received 4.0k indexed citations. Recurring topics across this work include Advanced Image and Video Retrieval Techniques (14 papers), Video Analysis and Summarization (13 papers) and Video Surveillance and Tracking Methods (8 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (1.6k citations), Neurology (378 citations) and Safety, Risk, Reliability and Quality (395 citations). Irfan Mehmood has collaborated with scholars based in South Korea, Pakistan and United Kingdom. Frequent co-authors include Sung Wook Baik, Khan Muhammad, Seungmin Rho, Muazzam Maqsood, Muhammad Sajjad, Farhan Aadil, Jamil Ahmad, Naveed Ejaz, Oh-Young Song and Sitara Afzal. Their work appears in journals such as SHILAP Revista de lepidopterología, PLoS ONE and Computers in Human Behavior.
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.