Imran Saleemi
- Computer Vision and Pattern Recognition top 0.5%
- Artificial Intelligence top 2%
- Safety, Risk, Reliability and Quality top 2%
- Signal Processing top 10%
- Transportation top 5%
- Co-authors
- Mubarak ShahHaroon IdreesKhurram ShafiqueSoumyadip SenguptaShanchuan LinLinjie YangHamid IzadiniaWaqas Sultani
- Topics
- Human Pose and Action Recognition (7 papers)Video Analysis and Summarization (6 papers)Anomaly Detection Techniques and Applications (6 papers)
- Cited by
- Computer Vision and Pattern RecognitionArtificial IntelligenceSafety, Risk, Reliability and Quality
- Journals
- IEEE Transactions on Pattern Analysis and Machine IntelligenceInternational Journal of Computer VisionIEEE Transactions on Multimedia
- Partner nations
- United States
In The Last Decade
Imran Saleemi
14 papers receiving 1.3k citations
Hit Papers
Peers
Comparison fields: 5 of 75
- Computer Vision and Pattern Recognition 1.2k
- Artificial Intelligence 763
- Safety, Risk, Reliability and Quality 169
- Signal Processing 98
- Transportation 93
Countries citing papers authored by Imran Saleemi
This map shows the geographic impact of Imran Saleemi'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 Saleemi with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Imran Saleemi more than expected).
Fields of papers citing papers by Imran Saleemi
This network shows the impact of papers produced by Imran Saleemi. 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 Saleemi. The network helps show where Imran Saleemi may publish in the future.
Co-authorship network of co-authors of Imran Saleemi
This figure shows the co-authorship network connecting the top 25 collaborators of Imran Saleemi. A scholar is included among the top collaborators of Imran Saleemi 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 Saleemi. Imran Saleemi is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 87 | |
| 2 | 35 | |
| 3 | BBN VISER TRECVID 2013 Multimedia Event Detection and Multimedia Event Recounting Systems | 14 |
| 4 | Multi-source Multi-scale Counting in Extremely Dense Crowd Imagesbreakdown → | 690 |
| 5 | 67 | |
| 6 | 7 | |
| 7 | BBNVISER : BBN VISER TRECVID 2012 Multimedia Event Detection and Multimedia Event Recounting Systems. | 13 |
| 8 | 58 | |
| 9 | 92 | |
| 10 | BBN VISER TRECVID 2011 Multimedia Event Detection System | 25 |
| 11 | 39 | |
| 12 | 6 | |
| 13 | 95 | |
| 14 | 98 |
About Imran Saleemi
Imran Saleemi is a scholar working on Computer Vision and Pattern Recognition, Signal Processing and Artificial Intelligence, having authored 14 papers that have together received 1.3k indexed citations. Recurring topics across this work include Human Pose and Action Recognition (7 papers), Video Analysis and Summarization (6 papers) and Anomaly Detection Techniques and Applications (6 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (1.2k citations), Artificial Intelligence (763 citations) and Safety, Risk, Reliability and Quality (169 citations). Imran Saleemi has collaborated with scholars based in United States. Frequent co-authors include Mubarak Shah, Haroon Idrees, Khurram Shafique, Soumyadip Sengupta, Shanchuan Lin, Linjie Yang, Hamid Izadinia, Waqas Sultani, Jingen Liu and Yang Yang. Their work appears in journals such as IEEE Transactions on Pattern Analysis and Machine Intelligence, International Journal of Computer Vision and IEEE Transactions on Multimedia.
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.