Adıń Ramıŕez Rivera

1.3k citations
30 papers · 917 indexed · 1 hit paper · h-index 11

Adıń Ramıŕez Rivera

30 papers receiving 867 citations

Hit Papers

Local Directional Number Pattern for Face Analysis: Face ...20122026201620212012100200300

Peers

Adıń Ramıŕez Rivera
Comparison fields: 5 of 84
  • Computer Vision and Pattern Recognition 755
  • Experimental and Cognitive Psychology 286
  • Artificial Intelligence 125
  • Media Technology 90
  • Signal Processing 87
Replace Deepak Ghimire with:
Deepak Ghimire South Korea
Seyed Mehdi Lajevardi Australia
Liming Chen Taiwan
Weifeng Ge China
Zibo Meng United States
Santosh Kumar Vipparthi India
Vassilios Vonikakis Singapore
Oksam Chae South Korea
Mariana-Iuliana Georgescu Romania
Çiğdem Eroğlu Erdem Türkiye
Adıń Ramıŕez Rivera relative to Deepak Ghimire South Korea Deepak Ghimire's profile →
Citations per field
00.5×2.7×
Deepak Ghimire · 1×
Citations per year

Countries citing papers authored by Adıń Ramıŕez Rivera

Since Specialization
Citations

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

Fields of papers citing papers by Adıń Ramıŕez Rivera

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Adıń Ramıŕez Rivera. 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 Adıń Ramıŕez Rivera. The network helps show where Adıń Ramıŕez Rivera may publish in the future.

Co-authorship network of co-authors of Adıń Ramıŕez Rivera

This figure shows the co-authorship network connecting the top 25 collaborators of Adıń Ramıŕez Rivera. A scholar is included among the top collaborators of Adıń Ramıŕez Rivera 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 Adıń Ramıŕez Rivera. Adıń Ramıŕez Rivera 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 1
2 1
3 2
4 4
5 1
6 1
7 8
8 24
9 17
10 4
11 109
12 3
13 3
14 10
15 58
16 92
17 7
18 5
19 69
20
Local Directional Number Pattern for Face Analysis: Face and Expression Recognitionbreakdown →
380

About Adıń Ramıŕez Rivera

Adıń Ramıŕez Rivera is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Experimental and Cognitive Psychology, having authored 30 papers that have together received 917 indexed citations. Recurring topics across this work include Advanced Image and Video Retrieval Techniques (10 papers), Video Surveillance and Tracking Methods (8 papers) and Face and Expression Recognition (7 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (755 citations), Experimental and Cognitive Psychology (286 citations) and Media Technology (90 citations). Adıń Ramıŕez Rivera has collaborated with scholars based in Brazil, South Korea and Chile. Frequent co-authors include Oksam Chae, Byungyong Ryu, Adil Khan, Oksam Chae, Asad Masood Khattak, Ramil Kuleev, Maxim Gusarev, Luiz F. Bittencourt, Asad Masood Khattak and Kaushik Roy. Their work appears in journals such as IEEE Transactions on Pattern Analysis and Machine Intelligence, IEEE Transactions on Image Processing and Expert Systems with Applications.

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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