Ehsan Taghavi

750 total citations
10 papers, 492 citations indexed

About

Ehsan Taghavi is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Computer Networks and Communications. According to data from OpenAlex, Ehsan Taghavi has authored 10 papers receiving a total of 492 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Computer Vision and Pattern Recognition, 4 papers in Artificial Intelligence and 3 papers in Computer Networks and Communications. Recurrent topics in Ehsan Taghavi's work include Advanced Neural Network Applications (5 papers), Target Tracking and Data Fusion in Sensor Networks (3 papers) and Robotics and Sensor-Based Localization (3 papers). Ehsan Taghavi is often cited by papers focused on Advanced Neural Network Applications (5 papers), Target Tracking and Data Fusion in Sensor Networks (3 papers) and Robotics and Sensor-Based Localization (3 papers). Ehsan Taghavi collaborates with scholars based in Canada, United States and Sweden. Ehsan Taghavi's co-authors include Ryan Razani, Bingbing Liu, Ran Cheng, Enxu Li, Bingbing Liu, Ehsan Nezhadarya, Jun Luo, Ratnasingham Tharmarasa, T. Kirubarajan and Yaakov Bar‐Shalom and has published in prestigious journals such as IEEE Transactions on Aerospace and Electronic Systems, 2021 IEEE/CVF International Conference on Computer Vision (ICCV) and International Conference on Information Fusion.

In The Last Decade

Ehsan Taghavi

10 papers receiving 478 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Ehsan Taghavi Canada 8 231 223 182 155 143 10 492
Rui Bu China 7 171 0.7× 251 1.1× 127 0.7× 201 1.3× 62 0.4× 16 452
Jingnan Shi United States 6 353 1.5× 139 0.6× 163 0.9× 260 1.7× 512 3.6× 12 732
Yanxin Ma China 11 322 1.4× 139 0.6× 115 0.6× 160 1.0× 220 1.5× 37 552
Caifa Zhou Switzerland 9 217 0.9× 274 1.2× 166 0.9× 330 2.1× 375 2.6× 18 628
Tolga Birdal United States 12 284 1.2× 206 0.9× 81 0.4× 176 1.1× 220 1.5× 27 504
Zaiwei Zhang United States 9 187 0.8× 165 0.7× 58 0.3× 121 0.8× 79 0.6× 12 384
Jianhui Liu China 6 300 1.3× 71 0.3× 84 0.5× 72 0.5× 134 0.9× 18 424
Minh-Khoi Tran Singapore 4 289 1.3× 370 1.7× 176 1.0× 316 2.0× 155 1.1× 6 645
Álvaro Parra Australia 9 211 0.9× 68 0.3× 124 0.7× 150 1.0× 285 2.0× 15 439
Rui Qian China 6 442 1.9× 58 0.3× 66 0.4× 55 0.4× 187 1.3× 14 561

Countries citing papers authored by Ehsan Taghavi

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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-authorship network of co-authors of Ehsan Taghavi

This figure shows the co-authorship network connecting the top 25 collaborators of Ehsan Taghavi. A scholar is included among the top collaborators of Ehsan Taghavi 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 Ehsan Taghavi. Ehsan Taghavi is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

10 of 10 papers shown
1.
Razani, Ryan, Ran Cheng, Ehsan Taghavi, & Bingbing Liu. (2021). Lite-HDSeg: LiDAR Semantic Segmentation Using Lite Harmonic Dense Convolutions. 9550–9556. 43 indexed citations
2.
Cheng, Ran, Ryan Razani, Ehsan Taghavi, Enxu Li, & Bingbing Liu. (2021). (AF)2-S3Net: Attentive Feature Fusion with Adaptive Feature Selection for Sparse Semantic Segmentation Network. 12542–12551. 173 indexed citations
3.
Razani, Ryan, et al.. (2021). GP-S3Net: Graph-based Panoptic Sparse Semantic Segmentation Network. 2021 IEEE/CVF International Conference on Computer Vision (ICCV). 16056–16065. 39 indexed citations
4.
Razani, Ryan, et al.. (2021). TORNADO-Net: mulTiview tOtal vaRiatioN semAntic segmentation with Diamond inceptiOn module. 9543–9549. 55 indexed citations
5.
Taghavi, Ehsan, Dan Song, Ratnasingham Tharmarasa, et al.. (2020). Geo-registration and Geo-location Using Two Airborne Video Sensors. IEEE Transactions on Aerospace and Electronic Systems. 56(4). 2910–2921. 8 indexed citations
6.
Nezhadarya, Ehsan, Ehsan Taghavi, Ryan Razani, Bingbing Liu, & Jun Luo. (2020). Adaptive Hierarchical Down-Sampling for Point Cloud Classification. 12953–12961. 95 indexed citations
7.
Taghavi, Ehsan, Ratnasingham Tharmarasa, T. Kirubarajan, Yaakov Bar‐Shalom, & Michael McDonald. (2016). A practical bias estimation algorithm for multisensor-multitarget tracking. IEEE Transactions on Aerospace and Electronic Systems. 52(1). 2–19. 52 indexed citations
8.
Taghavi, Ehsan, et al.. (2015). Fusing social network data with hard data. International Conference on Information Fusion. 652–658. 4 indexed citations
9.
Taghavi, Ehsan, Ratnasingham Tharmarasa, T. Kirubarajan, & Yaakov Bar‐Shalom. (2013). Bias estimation for practical distributed multiradar-multitarget tracking systems. International Conference on Information Fusion. 1304–1311. 5 indexed citations
10.
Taghavi, Ehsan, Fredrik Lindsten, Lennart Svensson, & Thomas B. Schön. (2013). Adaptive stopping for fast particle smoothing. KTH Publication Database DiVA (KTH Royal Institute of Technology). 6293–6297. 18 indexed citations

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.

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2026