Keyvan Golestan

563 total citations
12 papers, 329 citations indexed

About

Keyvan Golestan is a scholar working on Electrical and Electronic Engineering, Automotive Engineering and Artificial Intelligence. According to data from OpenAlex, Keyvan Golestan has authored 12 papers receiving a total of 329 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Electrical and Electronic Engineering, 4 papers in Automotive Engineering and 4 papers in Artificial Intelligence. Recurrent topics in Keyvan Golestan's work include Vehicular Ad Hoc Networks (VANETs) (8 papers), Autonomous Vehicle Technology and Safety (4 papers) and Bayesian Modeling and Causal Inference (3 papers). Keyvan Golestan is often cited by papers focused on Vehicular Ad Hoc Networks (VANETs) (8 papers), Autonomous Vehicle Technology and Safety (4 papers) and Bayesian Modeling and Causal Inference (3 papers). Keyvan Golestan collaborates with scholars based in Canada. Keyvan Golestan's co-authors include Mohamed S. Kamel, Fakhri Karray, Farook Sattar, Ridha Soua, Maksims Volkovs, Animesh Garg, Fakhri Karray, Bahador Khaleghi, Catriona Syme and Tomi Poutanen and has published in prestigious journals such as IEEE Transactions on Intelligent Transportation Systems, Information Fusion and Computer Communications.

In The Last Decade

Keyvan Golestan

11 papers receiving 320 citations

Peers

Keyvan Golestan
Henry Alexander Ignatious United Arab Emirates
Rui Song Germany
Mihir Mody United States
Mhafuzul Islam United States
Tiehua Zhang Australia
Majid Khonji United Arab Emirates
Aidan Murphy Ireland
Keyvan Golestan
Citations per year, relative to Keyvan Golestan Keyvan Golestan (= 1×) peers Arnav Vaibhav Malawade

Countries citing papers authored by Keyvan Golestan

Since Specialization
Citations

This map shows the geographic impact of Keyvan Golestan'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 Keyvan Golestan with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Keyvan Golestan more than expected).

Fields of papers citing papers by Keyvan Golestan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Keyvan Golestan. 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 Keyvan Golestan. The network helps show where Keyvan Golestan may publish in the future.

Co-authorship network of co-authors of Keyvan Golestan

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

All Works

12 of 12 papers shown
1.
Golestan, Keyvan, Catriona Syme, Alexander Bilbily, et al.. (2023). Approximating femoral neck bone mineral density from hand, knee, and pelvis X-rays using deep learning. 6. 7–7.
2.
Golestan, Keyvan, et al.. (2022). X-Pool: Cross-Modal Language-Video Attention for Text-Video Retrieval. 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR). 4996–5005. 118 indexed citations
3.
Golestan, Keyvan, Ridha Soua, Fakhri Karray, & Mohamed S. Kamel. (2016). Game theoretic Fuzzy Multi-Entity Bayesian Networks for collision avoidance in VANETs. 4. 508–515. 3 indexed citations
4.
Golestan, Keyvan, Ridha Soua, Fakhri Karray, & Mohamed S. Kamel. (2015). Situation awareness within the context of connected cars: A comprehensive review and recent trends. Information Fusion. 29. 68–83. 70 indexed citations
5.
Golestan, Keyvan, et al.. (2015). Localization in vehicular ad hoc networks using data fusion and V2V communication. Computer Communications. 71. 61–72. 41 indexed citations
6.
Golestan, Keyvan, Bahador Khaleghi, Fakhri Karray, & Mohamed S. Kamel. (2015). Attention Assist: A High-Level Information Fusion Framework for Situation and Threat Assessment in Vehicular Ad Hoc Networks. IEEE Transactions on Intelligent Transportation Systems. 17(5). 1271–1285. 13 indexed citations
7.
Golestan, Keyvan, Fakhri Karray, & Mohamed S. Kamel. (2015). An integrated approach for Fuzzy Multi-entity Bayesian Networks and semantic analysis for soft and hard data fusion. 4 indexed citations
8.
Sattar, Farook, et al.. (2014). Recent Advances on Context-Awareness and Data/Information Fusion in ITS. International Journal of Intelligent Transportation Systems Research. 14(1). 1–19. 20 indexed citations
9.
Golestan, Keyvan, Fakhri Karray, & Mohamed S. Kamel. (2014). Fuzzy multi entity Bayesian networks: A model for imprecise knowledge representation and reasoning in high-level information fusion. 1678–1685. 4 indexed citations
10.
Golestan, Keyvan, Ridha Soua, Fakhri Karray, & Mohamed S. Kamel. (2014). A model for situation and threat/impact assessment in vehicular ad-hoc networks. 87–94. 6 indexed citations
11.
Golestan, Keyvan, Fakhri Karray, & Mohamed S. Kamel. (2013). High level information fusion through a fuzzy extension to Multi-Entity Bayesian Networks in Vehicular Ad-hoc Networks. International Conference on Information Fusion. 1180–1187. 6 indexed citations
12.
Golestan, Keyvan, et al.. (2012). Vehicle localization in VANETs using data fusion and V2V communication. 123–130. 44 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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