Sina Samangooei

3.0k citations
22 papers · 308 indexed · h-index 10
Topics
Advanced Image and Video Retrieval Techniques (10 papers)Image Retrieval and Classification Techniques (10 papers)Video Analysis and Summarization (5 papers)

In The Last Decade

Sina Samangooei

22 papers receiving 290 citations

Peers

Sina Samangooei
Comparison fields: 5 of 47
  • Computer Vision and Pattern Recognition 235
  • Biomedical Engineering 82
  • Signal Processing 77
  • Artificial Intelligence 58
  • Information Systems 50
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Cam-Tu Nguyen China
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Citations per field
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Citations per year

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

20 of 20 papers shown
#WorkIndexed citations
1 2
2 1
3 4
4 2
5 7
6
A Unified, Modular and Multimodal Approach to Search and Hyperlinking Video
5
7
An investigation of techniques that aim to improve the quality of labels provided by the crowd
1
8
Identifying the Geographic Location of an Image with a Multimodal Probability Density Function
6
9
Social Event Detection via sparse multi-modal feature selection and incremental density based clustering
12
10
Experiments in Diversifying Flickr Result Sets
10
11 9
12
OpenIMAJ – Intelligent Multimedia Analysis in Java
1
13 8
14 9
15 19
16
Semantically Tagging Images of Landmarks
2
17 8
18 40
19 22
20 47

About Sina Samangooei

Sina Samangooei is a scholar working on Computer Vision and Pattern Recognition, General Social Sciences and Artificial Intelligence, having authored 22 papers that have together received 308 indexed citations. Recurring topics across this work include Advanced Image and Video Retrieval Techniques (10 papers), Image Retrieval and Classification Techniques (10 papers) and Video Analysis and Summarization (5 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (235 citations), Signal Processing (77 citations) and Human-Computer Interaction (19 citations). Sina Samangooei has collaborated with scholars based in United Kingdom, United States and Australia. Frequent co-authors include Mark Nixon, Jonathon Hare, Paul Lewis, David Dupplaw, Baofeng Guo, John N. Carter, Nicholas Gibbins, Mahesan Niranjan, John F. Preston and Daniel Preoțiuc-Pietro. Their work appears in journals such as Multimedia Tools and Applications, International Journal of Multimedia Information Retrieval and ePrints Soton (University of Southampton).

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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