Ehsan Taghavi
Impact in
- Geology top 2%
- 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)Ran Cheng (3 shared papers)Enxu Li (2 shared papers)Bingbing Liu (1 shared paper)Jun Luo (1 shared paper)Ehsan Nezhadarya (1 shared paper)Ratnasingham Tharmarasa (4 shared papers)T. Kirubarajan (3 shared papers)
- Journals
- IEEE Transactions on Aerospace and Electronic Systems (2 papers)KTH Publication Database DiVA (KTH Royal Institute of Technology) (1 paper)International Conference on Information Fusion (2 papers)2021 IEEE/CVF International Conference on Computer Vision (ICCV) (1 paper)
- Partner nations
- CanadaUnited StatesSweden
In The Last Decade
Ehsan Taghavi
10 papers receiving 525 citations
Ehsan Taghavi's Hit Papers
Peers
Comparison fields: 5 of 49
- Geology 174
- Computer Graphics and Computer-Aided Design 54
- Environmental Engineering 201
- Computational Mechanics 249
- Computer Vision and Pattern Recognition 245
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 | (AF)2-S3Net: Attentive Feature Fusion with Adaptive Feature Selection for Sparse Semantic Segmentation Network Hit paper breakdown → | 2021 | 193 |
| 2 | 2020 | 105 | |
| 3 | 2021 | 58 | |
| 4 | 2016 | 53 | |
| 5 | 2021 | 50 | |
| 6 | 2021 | 43 | |
| 7 | 2013 | 18 | |
| 8 | 2020 | 9 | |
| 9 | Bias estimation for practical distributed multiradar-multitarget tracking systems | 2013 | 6 |
| 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 539 indexed citations. Recurring topics across this work include Advanced Neural Network Applications (5 papers), Target Tracking and Data Fusion in Sensor Networks (3 papers), Gaussian Processes and Bayesian Inference (3 papers), Robotics and Sensor-Based Localization (3 papers), 3D Shape Modeling and Analysis (2 papers), Human Pose and Action Recognition (2 papers), Distributed Sensor Networks and Detection Algorithms (2 papers) and Network Security and Intrusion Detection (1 paper). The work is most often cited by research in Geology (174 citations), Computer Graphics and Computer-Aided Design (54 citations), Environmental Engineering (201 citations), Computational Mechanics (249 citations) and Computer Vision and Pattern Recognition (245 citations). Ehsan Taghavi has collaborated with scholars based in Canada, United States and Sweden. Frequent co-authors include Ryan Razani, Ran Cheng, Enxu Li, Bingbing Liu, Jun Luo, Ehsan Nezhadarya, Bingbing Liu, Ratnasingham Tharmarasa, T. Kirubarajan and Yaakov Bar‐Shalom. Their work appears in journals such as IEEE Transactions on Aerospace and Electronic Systems, KTH Publication Database DiVA (KTH Royal Institute of Technology), International Conference on Information Fusion and 2021 IEEE/CVF International Conference on Computer Vision (ICCV).
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.