Mohsen Rohani

509 total citations
10 papers, 323 citations indexed

About

Mohsen Rohani is a scholar working on Computer Vision and Pattern Recognition, Automotive Engineering and Electrical and Electronic Engineering. According to data from OpenAlex, Mohsen Rohani has authored 10 papers receiving a total of 323 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Computer Vision and Pattern Recognition, 4 papers in Automotive Engineering and 4 papers in Electrical and Electronic Engineering. Recurrent topics in Mohsen Rohani's work include Indoor and Outdoor Localization Technologies (4 papers), Autonomous Vehicle Technology and Safety (4 papers) and Traffic Prediction and Management Techniques (3 papers). Mohsen Rohani is often cited by papers focused on Indoor and Outdoor Localization Technologies (4 papers), Autonomous Vehicle Technology and Safety (4 papers) and Traffic Prediction and Management Techniques (3 papers). Mohsen Rohani collaborates with scholars based in Canada, France and Iran. Mohsen Rohani's co-authors include Dominique Gruyer, Denis Gingras, Jun Luo, Amir Rasouli, Vincent Vigneron, Said Nader‐Esfahani and Pascal Poupart and has published in prestigious journals such as IEEE Transactions on Intelligent Transportation Systems, IEEE Intelligent Transportation Systems Magazine and 2021 IEEE/CVF International Conference on Computer Vision (ICCV).

In The Last Decade

Mohsen Rohani

10 papers receiving 313 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Mohsen Rohani Canada	9	143	121	112	69	68	10	323
Min-Chul Lee South Korea	12	155 1.1×	220 1.8×	131 1.2×	70 1.0×	47 0.7×	30	463
Zhongyang Xiao China	9	85 0.6×	156 1.3×	110 1.0×	72 1.0×	35 0.5×	18	339
Véronique Cherfaoui France	11	65 0.5×	111 0.9×	145 1.3×	108 1.6×	94 1.4×	29	327
Neeraj K. Kanhere United States	11	73 0.5×	155 1.3×	335 3.0×	25 0.4×	46 0.7×	18	452
Qingming Yao China	9	60 0.4×	60 0.5×	183 1.6×	20 0.3×	43 0.6×	18	291
Michele Zanin Italy	8	41 0.3×	132 1.1×	224 2.0×	50 0.7×	34 0.5×	14	334
Jelena Kocić Serbia	5	56 0.4×	120 1.0×	122 1.1×	65 0.9×	65 1.0×	8	321
Jamil Fayyad Canada	5	70 0.5×	121 1.0×	145 1.3×	100 1.4×	77 1.1×	10	360
Ángel Llamazares Spain	12	77 0.5×	74 0.6×	172 1.5×	121 1.8×	37 0.5×	26	313
Albert Yaw Appiah Ghana	8	112 0.8×	59 0.5×	150 1.3×	73 1.1×	90 1.3×	9	367

Countries citing papers authored by Mohsen Rohani

Since Specialization

Citations

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

Fields of papers citing papers by Mohsen Rohani

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Mohsen Rohani

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

All Works

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10 of 10 papers shown

Rasouli, Amir, et al.. (2022). Multi-Modal Hybrid Architecture for Pedestrian Action Prediction. 2022 IEEE Intelligent Vehicles Symposium (IV). 91–97. 27 indexed citations

Rohani, Mohsen, et al.. (2021). Prediction by Anticipation: An Action-Conditional Prediction Method based on Interaction Learning. 2021 IEEE/CVF International Conference on Computer Vision (ICCV). 15601–15610. 4 indexed citations

Rasouli, Amir, Mohsen Rohani, & Jun Luo. (2021). Bifold and Semantic Reasoning for Pedestrian Behavior Prediction. 2021 IEEE/CVF International Conference on Computer Vision (ICCV). 15580–15590. 57 indexed citations

Rasouli, Amir, et al.. (2021). Graph-SIM: A Graph-based Spatiotemporal Interaction Modelling for Pedestrian Action Prediction. 8580–8586. 19 indexed citations

Rohani, Mohsen, Denis Gingras, & Dominique Gruyer. (2015). A Novel Approach for Improved Vehicular Positioning Using Cooperative Map Matching and Dynamic Base Station DGPS Concept. IEEE Transactions on Intelligent Transportation Systems. 17(1). 230–239. 74 indexed citations

Rohani, Mohsen, Denis Gingras, Vincent Vigneron, & Dominique Gruyer. (2015). A New Decentralized Bayesian Approach for Cooperative Vehicle Localization Based on Fusion of GPS and VANET Based Inter-Vehicle Distance Measurement. IEEE Intelligent Transportation Systems Magazine. 7(2). 85–95. 98 indexed citations

Rohani, Mohsen, Denis Gingras, & Dominique Gruyer. (2014). Vehicular cooperative map matching. 48. 799–803. 8 indexed citations

Rohani, Mohsen, Denis Gingras, & Dominique Gruyer. (2014). Dynamic base station DGPS for cooperative vehicle localization. 781–785. 10 indexed citations

Rohani, Mohsen, et al.. (2010). A Reduced Reference Video Quality Assessment method based on the human motion perception. 831–835. 8 indexed citations

10.

Rohani, Mohsen, et al.. (2009). A watermarking method based on optimizing SSIM index by using PSO in DCT domain. 418–422. 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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