Lyuba Alboul

39 papers receiving 603 citations

Peers

Lyuba Alboul
Comparison fields: 5 of 100
  • Computational Mechanics 177
  • Pulmonary and Respiratory Medicine 140
  • Computer Vision and Pattern Recognition 138
  • Computer Networks and Communications 108
  • Mechanical Engineering 80
Replace Byeong‐Seok Shin with:
Byeong‐Seok Shin South Korea
Meng Xia Hong Kong
Yiqun Li China
Mohamed Elgharib Germany
Aitor Moreno Spain
Weiqing Li China
Xi Wang China
Michihiko Minoh Japan
Frederic Kleinermann Belgium
Lawrence Rosenblum United States
Lyuba Alboul relative to Byeong‐Seok Shin South Korea Byeong‐Seok Shin's profile →
Citations per field
00.5×6.7×
Byeong‐Seok Shin · 1×
Citations per year

Countries citing papers authored by Lyuba Alboul

Since Specialization
Citations

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

Fields of papers citing papers by Lyuba Alboul

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Lyuba Alboul

This figure shows the co-authorship network connecting the top 25 collaborators of Lyuba Alboul. A scholar is included among the top collaborators of Lyuba Alboul 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 Lyuba Alboul. Lyuba Alboul 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 3
3 0
4 7
5 1
6 2
7
Following a Robot using a Haptic Interface without Visual Feedback
8
8 4
9 1
10 20
11 204
12
3D modelling and recognition
6
13
Methods for Indexing Stripes in Uncoded Structured Light Scanning Systems
29
14
Modelling interaction patterns and group behaviour in a three-robot team
5
15
On Flips in Polyhedral Surfaces: a new development
1
16 21
17
Best data-dependent triangulations
4
18
Polyhedral metrics in surface reconstruction: tight triangulations
19
19
Interaction Congenial Autonomous Robots
2
20
Polyhedral Metrics in Surface Reconstruction
14

About Lyuba Alboul

Lyuba Alboul is a scholar working on Computer Graphics and Computer-Aided Design, Human-Computer Interaction and Computer Vision and Pattern Recognition, having authored 42 papers that have together received 640 indexed citations. Recurring topics across this work include Robotic Path Planning Algorithms (8 papers), Modular Robots and Swarm Intelligence (7 papers) and Distributed Control Multi-Agent Systems (7 papers). The work is most often cited by research in Computer Graphics and Computer-Aided Design (57 citations), Fluid Flow and Transfer Processes (65 citations) and Computational Mechanics (177 citations). Lyuba Alboul has collaborated with scholars based in United Kingdom, Spain and Netherlands. Frequent co-authors include Michael M. Dupin, Jacques Penders, Lance L. Munn, C. M. Care, Ian Halliday, Joan Sàez-Pons, Martin Beer, Patrick Oseloka Ezepue, Marcos Rodrigues and Ulf Witkowski. Their work appears in journals such as Sustainability, Journal of Computational and Applied Mathematics and Lecture notes in computer science.

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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