Mehrtash Harandi
- Computer Vision and Pattern Recognition top 0.5%
- Artificial Intelligence top 0.5%
- Media Technology top 1%
- Biomedical Engineering top 10%
- Information Systems top 2%
- Co-authors
- Mathieu SalzmannBrian C. LovellConrad SandersonMahsa BaktashmotlaghRichard HartleyChristian SimonRichard NockHongdong Li
- Topics
- Face and Expression Recognition (37 papers)Domain Adaptation and Few-Shot Learning (37 papers)Human Pose and Action Recognition (31 papers)
- Journals
- IEEE Transactions on Pattern Analysis and Machine IntelligenceIEEE Transactions on Image ProcessingIEEE Access
- Partner nations
- AustraliaChinaUnited States
In The Last Decade
Mehrtash Harandi
134 papers receiving 3.5k citations
Hit Papers
Peers
Comparison fields: 5 of 129
- Computer Vision and Pattern Recognition 2.3k
- Artificial Intelligence 1.6k
- Media Technology 364
- Biomedical Engineering 304
- Information Systems 287
Countries citing papers authored by Mehrtash Harandi
This map shows the geographic impact of Mehrtash Harandi'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 Mehrtash Harandi with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Mehrtash Harandi more than expected).
Fields of papers citing papers by Mehrtash Harandi
This network shows the impact of papers produced by Mehrtash Harandi. 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 Mehrtash Harandi. The network helps show where Mehrtash Harandi may publish in the future.
Co-authorship network of co-authors of Mehrtash Harandi
This figure shows the co-authorship network connecting the top 25 collaborators of Mehrtash Harandi. A scholar is included among the top collaborators of Mehrtash Harandi 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 Mehrtash Harandi. Mehrtash Harandi 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 | 1 | |
| 3 | 5 | |
| 4 | 5 | |
| 5 | 1 | |
| 6 | 8 | |
| 7 | 4 | |
| 8 | 7 | |
| 9 | 9 | |
| 10 | 15 | |
| 11 | 1 | |
| 12 | Hierarchical Neural Architecture Search for Deep Stereo Matching | 15 |
| 13 | 9 | |
| 14 | 3 | |
| 15 | Joint dimensionality reduction and metric learning: a geometric take | 26 |
| 16 | Distribution-matching embedding for visual domain adaptation | 69 |
| 17 | Bag of riemannian words for virus classification | 1 |
| 18 | 266 | |
| 19 | Non-Linear Stationary Subspace Analysis with Application to Video Classification | 7 |
| 20 | 38 |
About Mehrtash Harandi
Mehrtash Harandi is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Software, having authored 147 papers that have together received 3.6k indexed citations. Recurring topics across this work include Face and Expression Recognition (37 papers), Domain Adaptation and Few-Shot Learning (37 papers) and Human Pose and Action Recognition (31 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (2.3k citations), Computational Mathematics (34 citations) and Software (197 citations). Mehrtash Harandi has collaborated with scholars based in Australia, China and United States. Frequent co-authors include Mathieu Salzmann, Brian C. Lovell, Conrad Sanderson, Mahsa Baktashmotlagh, Richard Hartley, Christian Simon, Richard Nock, Hongdong Li, Fatih Porikli and Sadeep Jayasumana. Their work appears in journals such as IEEE Transactions on Pattern Analysis and Machine Intelligence, IEEE Transactions on Image Processing 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.