Ehsan Taghavi
Impact in
- Geology top 5%
- 3D Surveying and Cultural Heritage
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- Computer Graphics and Visualization Techniques
Papers in ⓘ
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- Advanced Neural Network Applications 5
- Human Pose and Action Recognition 2
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- Target Tracking and Data Fusion in Sensor Networks 3
- Gaussian Processes and Bayesian Inference 3
- Co-authors
- Ryan Razani (5 shared papers)Bingbing Liu (4 shared papers)Ran Cheng (3 shared papers)Enxu Li (2 shared papers)Ehsan Nezhadarya (1 shared paper)Jun Luo (1 shared paper)Bingbing Liu (1 shared paper)Ratnasingham Tharmarasa (4 shared papers)
- Journals
- IEEE Transactions on Aerospace and Electronic Systems (2 papers)International Conference on Information Fusion (2 papers)2021 IEEE/CVF International Conference on Computer Vision (ICCV) (1 paper)KTH Publication Database DiVA (KTH Royal Institute of Technology) (1 paper)
- Partner nations
- CanadaUnited StatesSweden
In The Last Decade
Ehsan Taghavi
10 papers receiving 478 citations
Peers
Comparison fields: 5 of 51
- Geology 155
- Computer Graphics and Computer-Aided Design 50
- Environmental Engineering 182
- Computer Vision and Pattern Recognition 231
- Computational Mechanics 223
Countries citing papers authored by Ehsan Taghavi
This map shows the geographic impact of Ehsan Taghavi'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 Taghavi with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ehsan Taghavi more than expected).
Fields of papers citing papers by Ehsan Taghavi
This network shows the impact of papers produced by Ehsan Taghavi. 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 Taghavi. The network helps show where Ehsan Taghavi may publish in the future.
Co-authors
The 19 scholars most cited alongside Ehsan Taghavi, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2021 | 173 | |
| 2 | 2020 | 95 | |
| 3 | 2021 | 55 | |
| 4 | 2016 | 52 | |
| 5 | 2021 | 43 | |
| 6 | 2021 | 39 | |
| 7 | 2013 | 18 | |
| 8 | 2020 | 8 | |
| 9 | Bias estimation for practical distributed multiradar-multitarget tracking systems | 2013 | 5 |
| 10 | Fusing social network data with hard data | 2015 | 4 |
About Ehsan Taghavi
Ehsan Taghavi is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence, Computer Networks and Communications, Aerospace Engineering and Computational Mechanics, having authored 10 papers that have together received 492 indexed citations. Recurring topics across this work include Advanced Neural Network Applications (5 papers), Robotics and Sensor-Based Localization (3 papers), Target Tracking and Data Fusion in Sensor Networks (3 papers), Gaussian Processes and Bayesian Inference (3 papers), 3D Shape Modeling and Analysis (2 papers), Distributed Sensor Networks and Detection Algorithms (2 papers), Human Pose and Action Recognition (2 papers) and Data Management and Algorithms (1 paper). The work is most often cited by research in Geology (155 citations), Computer Graphics and Computer-Aided Design (50 citations), Environmental Engineering (182 citations), Computer Vision and Pattern Recognition (231 citations) and Computational Mechanics (223 citations). Ehsan Taghavi has collaborated with scholars based in Canada, United States and Sweden. Frequent co-authors include Ryan Razani, Bingbing Liu, Ran Cheng, Enxu Li, Ehsan Nezhadarya, Jun Luo, Bingbing Liu, Ratnasingham Tharmarasa, Yaakov Bar‐Shalom and T. Kirubarajan. Their work appears in journals such as IEEE Transactions on Aerospace and Electronic Systems, International Conference on Information Fusion, 2021 IEEE/CVF International Conference on Computer Vision (ICCV) and KTH Publication Database DiVA (KTH Royal Institute of Technology).
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.