Agata Manolova

739 total citations
95 papers, 435 citations indexed

About

Agata Manolova is a scholar working on Computer Vision and Pattern Recognition, Human-Computer Interaction and Electrical and Electronic Engineering. According to data from OpenAlex, Agata Manolova has authored 95 papers receiving a total of 435 indexed citations (citations by other indexed papers that have themselves been cited), including 48 papers in Computer Vision and Pattern Recognition, 16 papers in Human-Computer Interaction and 13 papers in Electrical and Electronic Engineering. Recurrent topics in Agata Manolova's work include Human Pose and Action Recognition (12 papers), Face recognition and analysis (11 papers) and Augmented Reality Applications (10 papers). Agata Manolova is often cited by papers focused on Human Pose and Action Recognition (12 papers), Face recognition and analysis (11 papers) and Augmented Reality Applications (10 papers). Agata Manolova collaborates with scholars based in Bulgaria, Denmark and France. Agata Manolova's co-authors include Krasimir Tonchev, Vladimir Poulkov, Pétia Georgieva, Peter Lindgren, Anne Guérin-Dugué, L. Jordá, Jean‐Luc Mari, Mariofanna Milanova, Stanislav Panev and Bhawani Shankar Chowdhry and has published in prestigious journals such as IEEE Access, Sensors and Electronics.

In The Last Decade

Agata Manolova

80 papers receiving 416 citations

Peers

Agata Manolova
Comparison fields: 5 of 84
  • Computer Vision and Pattern Recognition 146
  • Computer Networks and Communications 85
  • Electrical and Electronic Engineering 74
  • Human-Computer Interaction 64
  • Cognitive Neuroscience 53
Replace Turke Althobaiti with:
Turke Althobaiti Saudi Arabia
Mohammad A. Haque Denmark
Jungchan Cho South Korea
Dushyant Kumar Singh India
Jie Yan China
Jinsul Kim South Korea
Xiaopei Wu China
Ioannis Kansizoglou Greece
Paramjit Sehdev United States
Turke Althobaiti Saudi Arabia View profile →
Citations per field, relative to Agata Manolova
Agata Manolova · 1×
Citations per year, relative to Agata Manolova
Agata Manolova · 1×

Countries citing papers authored by Agata Manolova

Since Specialization
Citations

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

Fields of papers citing papers by Agata Manolova

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Agata Manolova

This figure shows the co-authorship network connecting the top 25 collaborators of Agata Manolova. A scholar is included among the top collaborators of Agata Manolova 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 Agata Manolova. Agata Manolova 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
# Work Indexed citations
1 0
2 1
3 1
4 12
5 2
6 1
7 1
8 2
9 0
10 6
11 4
12 1
13 2
14 3
15 9
16 15
17 26
18 6
19
Active Shape Models with 2D profiles for Stress/Anxiety recognition from face images
2
20
System for touchless interaction with medical images in surgery using Leap Motion
6

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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