Ehsan Abbasnejad
Impact in
- Artificial Intelligence top 2%
- Adversarial Robustness in Machine Learning
- Domain Adaptation and Few-Shot Learning
- Anomaly Detection Techniques and Applications
- Solar Radiation and Photovoltaics
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- Multimodal Machine Learning Applications
Papers in
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- Domain Adaptation and Few-Shot Learning 13
- Adversarial Robustness in Machine Learning 9
- Anomaly Detection Techniques and Applications 4
- Gaussian Processes and Bayesian Inference 3
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- Multimodal Machine Learning Applications 12
- Advanced Image and Video Retrieval Techniques 5
- Advanced Neural Network Applications 3
- Co-authors
- Damith C. Ranasinghe (8 shared papers)Bao Gia Doan (8 shared papers)Qinfeng Shi (10 shared papers)Anton van den Hengel (10 shared papers)Damien Teney (9 shared papers)Davide Astiaso Garcia (2 shared papers)Seyedali Mirjalili (2 shared papers)Bradley Alexander (2 shared papers)
- Journals
- Energy Conversion and Management (1 paper)IEEE Transactions on Emerging Topics in Computing (1 paper)Sensors (1 paper)World Wide Web (1 paper)World Applied Sciences Journal (1 paper)
- Partner nations
- AustraliaSwitzerlandGermany
In The Last Decade
Ehsan Abbasnejad
39 papers receiving 970 citations
Peers
Comparison fields: 5 of 90
- Artificial Intelligence 598
- Computer Vision and Pattern Recognition 311
- Signal Processing 96
- Energy Engineering and Power Technology 21
- Electrical and Electronic Engineering 274
Countries citing papers authored by Ehsan Abbasnejad
This map shows the geographic impact of Ehsan Abbasnejad'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 Ehsan Abbasnejad with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ehsan Abbasnejad more than expected).
Fields of papers citing papers by Ehsan Abbasnejad
This network shows the impact of papers produced by Ehsan Abbasnejad. 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 Ehsan Abbasnejad. The network helps show where Ehsan Abbasnejad may publish in the future.
Co-authors
The 25 scholars most cited alongside Ehsan Abbasnejad, 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 45 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2021 | 188 | |
| 2 | 2020 | 157 | |
| 3 | 2021 | 97 | |
| 4 | 2020 | 89 | |
| 5 | 2022 | 78 | |
| 6 | 2012 | 51 | |
| 7 | 2016 | 41 | |
| 8 | 2022 | 36 | |
| 9 | 2021 | 35 | |
| 10 | 2018 | 33 | |
| 11 | 2022 | 21 | |
| 12 | 2023 | 18 | |
| 13 | Learning community-based preferences via dirichlet process mixtures of Gaussian processes | 2013 | 15 |
| 14 | 2021 | 13 | |
| 15 | Counterfactual Vision-and-Language Navigation: Unravelling the Unseen | 2020 | 13 |
| 16 | 2021 | 10 | |
| 17 | 2022 | 10 | |
| 18 | Deep Lipschitz networks and Dudley GANs | 2018 | 8 |
| 19 | 2023 | 8 | |
| 20 | On the Value of Out-of-Distribution Testing: An Example of Goodhart's Law | 2020 | 7 |
About Ehsan Abbasnejad
Ehsan Abbasnejad is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition, Signal Processing, Management Science and Operations Research and Computer Networks and Communications, having authored 45 papers that have together received 993 indexed citations. Recurring topics across this work include Domain Adaptation and Few-Shot Learning (13 papers), Multimodal Machine Learning Applications (12 papers), Adversarial Robustness in Machine Learning (9 papers), Advanced Image and Video Retrieval Techniques (5 papers), Anomaly Detection Techniques and Applications (4 papers), Advanced Neural Network Applications (3 papers), Gaussian Processes and Bayesian Inference (3 papers) and Advanced Malware Detection Techniques (3 papers). The work is most often cited by research in Artificial Intelligence (598 citations), Computer Vision and Pattern Recognition (311 citations), Signal Processing (96 citations), Energy Engineering and Power Technology (21 citations) and Electrical and Electronic Engineering (274 citations). Ehsan Abbasnejad has collaborated with scholars based in Australia, Switzerland and Germany. Frequent co-authors include Damith C. Ranasinghe, Bao Gia Doan, Qinfeng Shi, Anton van den Hengel, Damien Teney, Davide Astiaso Garcia, Seyedali Mirjalili, Bradley Alexander, Meysam Majidi Nezhad and Lina Bertling Tjernberg. Their work appears in journals such as Energy Conversion and Management, IEEE Transactions on Emerging Topics in Computing, Sensors, World Wide Web and World Applied Sciences Journal.
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.