Mohammad Rostami
Impact in
- Media Technology top 2%
Papers in
-
- Domain Adaptation and Few-Shot Learning 23
- Advanced Graph Neural Networks 4
- Data Stream Mining Techniques 3
-
- Multimodal Machine Learning Applications 7
- Advanced Neural Network Applications 4
- Co-authors
- Soheil Kolouri (7 shared papers)Deepak Ganesan (5 shared papers)Pan Hu (2 shared papers)Pengyu Zhang (2 shared papers)Eric Eaton (7 shared papers)Phillip E. Pope (1 shared paper)Charles E. Martin (1 shared paper)H. Hoffmann (1 shared paper)
- Journals
- Journal of Artificial Intelligence Research (3 papers)IEEE Transactions on Image Processing (2 papers)IEEE Journal of Biomedical and Health Informatics (1 paper)Nano Research (1 paper)Journal of Optimization Theory and Applications (1 paper)
- Partner nations
- United StatesIranCanada
In The Last Decade
Mohammad Rostami
57 papers receiving 1.2k citations
Peers
Comparison fields: 5 of 123
- Media Technology 164
- Computer Vision and Pattern Recognition 303
- Artificial Intelligence 434
- Aerospace Engineering 191
- Electrical and Electronic Engineering 400
Countries citing papers authored by Mohammad Rostami
This map shows the geographic impact of Mohammad Rostami'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 Mohammad Rostami with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Mohammad Rostami more than expected).
Fields of papers citing papers by Mohammad Rostami
This network shows the impact of papers produced by Mohammad Rostami. 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 Mohammad Rostami. The network helps show where Mohammad Rostami may publish in the future.
Co-authors
The 25 scholars most cited alongside Mohammad Rostami, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 67 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2019 | 292 | |
| 2 | 2016 | 243 | |
| 3 | 2019 | 136 | |
| 4 | 2016 | 61 | |
| 5 | 2019 | 53 | |
| 6 | 2012 | 46 | |
| 7 | Using task features for zero-shot knowledge transfer in lifelong learning | 2016 | 41 |
| 8 | 2015 | 35 | |
| 9 | 2018 | 28 | |
| 10 | 2020 | 24 | |
| 11 | 2012 | 22 | |
| 12 | Lifelong Domain Adaptation via Consolidated Internal Distribution | 2021 | 18 |
| 13 | 2024 | 15 | |
| 14 | 2018 | 15 | |
| 15 | 2014 | 15 | |
| 16 | 2024 | 14 | |
| 17 | 2018 | 14 | |
| 18 | 2013 | 12 | |
| 19 | 2023 | 11 | |
| 20 | 2020 | 11 |
About Mohammad Rostami
Mohammad Rostami is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition, Electrical and Electronic Engineering, Computer Networks and Communications and Computational Mechanics, having authored 67 papers that have together received 1.2k indexed citations. Recurring topics across this work include Domain Adaptation and Few-Shot Learning (23 papers), Multimodal Machine Learning Applications (7 papers), Energy Harvesting in Wireless Networks (5 papers), Advanced Neural Network Applications (4 papers), Sparse and Compressive Sensing Techniques (4 papers), Advanced Graph Neural Networks (4 papers), Scheduling and Optimization Algorithms (3 papers) and Data Stream Mining Techniques (3 papers). The work is most often cited by research in Media Technology (164 citations), Computer Vision and Pattern Recognition (303 citations), Artificial Intelligence (434 citations), Aerospace Engineering (191 citations) and Electrical and Electronic Engineering (400 citations). Mohammad Rostami has collaborated with scholars based in United States, Iran and Canada. Frequent co-authors include Soheil Kolouri, Deepak Ganesan, Pan Hu, Pengyu Zhang, Eric Eaton, Phillip E. Pope, Charles E. Martin, H. Hoffmann, Kyungnam Kim and Zhou Wang. Their work appears in journals such as Journal of Artificial Intelligence Research, IEEE Transactions on Image Processing, IEEE Journal of Biomedical and Health Informatics, Nano Research and Journal of Optimization Theory and Applications.
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.