Sina Samangooei

38 total papers · 3.0k total citations
22 papers, 308 citations indexed

About

Sina Samangooei is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Information Systems. According to data from OpenAlex, Sina Samangooei has authored 22 papers receiving a total of 308 indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Computer Vision and Pattern Recognition, 8 papers in Artificial Intelligence and 4 papers in Information Systems. Recurrent topics in Sina Samangooei's work include Advanced Image and Video Retrieval Techniques (10 papers), Image Retrieval and Classification Techniques (10 papers) and Video Analysis and Summarization (5 papers). Sina Samangooei is often cited by papers focused on Advanced Image and Video Retrieval Techniques (10 papers), Image Retrieval and Classification Techniques (10 papers) and Video Analysis and Summarization (5 papers). Sina Samangooei collaborates with scholars based in United Kingdom, United States and Sri Lanka. Sina Samangooei's co-authors include Mark Nixon, Jonathon Hare, Paul Lewis, David Dupplaw, Baofeng Guo, John N. Carter, Nicholas Gibbins, John F. Preston, Mahesan Niranjan and Daniel Preoțiuc-Pietro and has published in prestigious journals such as Multimedia Tools and Applications, International Journal of Multimedia Information Retrieval and ePrints Soton (University of Southampton).

In The Last Decade

Sina Samangooei

22 papers receiving 290 citations

Author Peers

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

Author						Papers	Cites
Sina Samangooei	234	81	77	58	50	22	308
Karina Toscano-Medina	146 0.6×	36 0.4×	47 0.6×	72 1.2×	43 0.9×	30	319
Orcan Alpar	151 0.6×	22 0.3×	87 1.1×	35 0.6×	95 1.9×	30	284
Amos Johnson	268 1.1×	212 2.6×	48 0.6×	89 1.5×	14 0.3×	11	353
Kalaiarasi Sonai Muthu	152 0.6×	55 0.7×	51 0.7×	39 0.7×	22 0.4×	19	272
Roland Hu	247 1.1×	36 0.4×	28 0.4×	72 1.2×	16 0.3×	31	360
Hailong Hu	110 0.5×	15 0.2×	140 1.8×	77 1.3×	150 3.0×	26	357
Farzin Yaghmaee	133 0.6×	23 0.3×	17 0.2×	115 2.0×	25 0.5×	37	264
Liyu Gong	110 0.5×	19 0.2×	18 0.2×	123 2.1×	25 0.5×	19	313
Prasenjit Dey	151 0.6×	16 0.2×	76 1.0×	152 2.6×	53 1.1×	24	353
Adrian Rusu	136 0.6×	10 0.1×	30 0.4×	36 0.6×	60 1.2×	34	242

Countries citing papers authored by Sina Samangooei

Since Specialization

Citations

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

Fields of papers citing papers by Sina Samangooei

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Sina Samangooei

This figure shows the co-authorship network connecting the top 25 collaborators of Sina Samangooei. A scholar is included among the top collaborators of Sina Samangooei 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 Samangooei. Sina Samangooei 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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