Sina Honari

55 total papers · 734 total citations
15 papers, 161 citations indexed

About

Sina Honari is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Automotive Engineering. According to data from OpenAlex, Sina Honari has authored 15 papers receiving a total of 161 indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Computer Vision and Pattern Recognition, 4 papers in Artificial Intelligence and 2 papers in Automotive Engineering. Recurrent topics in Sina Honari's work include Video Surveillance and Tracking Methods (4 papers), Human Pose and Action Recognition (4 papers) and Generative Adversarial Networks and Image Synthesis (3 papers). Sina Honari is often cited by papers focused on Video Surveillance and Tracking Methods (4 papers), Human Pose and Action Recognition (4 papers) and Generative Adversarial Networks and Image Synthesis (3 papers). Sina Honari collaborates with scholars based in Switzerland, Canada and United States. Sina Honari's co-authors include Pascal Fua, Edoardo Remelli, Shangchen Han, Robert Wang, Mathieu Salzmann, Christopher Pal, Christopher Beckham, Florian Bordes, Pascal Vincent and Soumava Kumar Roy and has published in prestigious journals such as IEEE Transactions on Pattern Analysis and Machine Intelligence, Pattern Recognition and International Journal of Computer Vision.

In The Last Decade

Sina Honari

13 papers receiving 154 citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author						Papers	Cites
Sina Honari	134	45	25	24	21	15	161
Sungheon Park	116 0.9×	28 0.6×	19 0.8×	9 0.4×	23 1.1×	10	138
Guoqiang Wei	191 1.4×	100 2.2×	50 2.0×	7 0.3×	17 0.8×	9	251
Michael Sapienza	116 0.9×	37 0.8×	43 1.7×	10 0.4×	14 0.7×	10	165
Runyang Feng	210 1.6×	75 1.7×	53 2.1×	11 0.5×	44 2.1×	12	252
Zhanning Gao	231 1.7×	122 2.7×	23 0.9×	15 0.6×	7 0.3×	20	257
Mingqian Tang	189 1.4×	140 3.1×	26 1.0×	12 0.5×	11 0.5×	13	238
Daochang Liu	213 1.6×	139 3.1×	56 2.2×	18 0.8×	8 0.4×	11	264
Wendong Zhang	125 0.9×	26 0.6×	15 0.6×	3 0.1×	14 0.7×	16	143
Wenhao Chai	130 1.0×	48 1.1×	20 0.8×	3 0.1×	12 0.6×	27	194
Sheng Yu	108 0.8×	74 1.6×	35 1.4×	4 0.2×	14 0.7×	10	220

Countries citing papers authored by Sina Honari

Since Specialization

Citations

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

Fields of papers citing papers by Sina Honari

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Sina Honari

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

All Works

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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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