Anna Lubiw

92 papers receiving 974 citations

Peers

Anna Lubiw
Comparison fields: 5 of 75
  • Computer Graphics and Computer-Aided Design 535
  • Discrete Mathematics and Combinatorics 98
  • Computational Theory and Mathematics 450
  • Computer Vision and Pattern Recognition 288
  • Signal Processing 143
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Adrian Dumitrescu United States
Thérèse Biedl Canada
Isao Shirakawa Japan
Iyad Kanj United States
Michiel Smid Canada
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Citations per year

Countries citing papers authored by Anna Lubiw

Since Specialization
Citations

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

Fields of papers citing papers by Anna Lubiw

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Anna Lubiw, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Anna Lubiw Line = papers co-authored together Anna Lubiw links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 98 papers — load more, or switch the sort, to bring in the rest.

#Work
1 198795
2 198173
3 199870
4 200363
5 200642
6 200141
7 200241
8 198535
9 200430
10
Unfolding some classes of orthogonal polyhedra.
199828
11 199827
12 199624
13 200622
14 199121
15 200120
16 199020
17 199119
18 199819
19 199116
20 201415

About Anna Lubiw

Anna Lubiw is a scholar working on Computer Graphics and Computer-Aided Design, Computational Theory and Mathematics, Computer Vision and Pattern Recognition, Mechanical Engineering and Electrical and Electronic Engineering, having authored 98 papers that have together received 1.1k indexed citations. Recurring topics across this work include Computational Geometry and Mesh Generation (67 papers), Advanced Graph Theory Research (24 papers), Advanced Materials and Mechanics (20 papers), Data Management and Algorithms (10 papers), Computer Graphics and Visualization Techniques (10 papers), graph theory and CDMA systems (10 papers), Robotic Path Planning Algorithms (9 papers) and Digital Image Processing Techniques (9 papers). The work is most often cited by research in Computer Graphics and Computer-Aided Design (535 citations), Discrete Mathematics and Combinatorics (98 citations), Computational Theory and Mathematics (450 citations), Computer Vision and Pattern Recognition (288 citations) and Signal Processing (143 citations). Anna Lubiw has collaborated with scholars based in Canada, United States and Italy. Frequent co-authors include Prosenjit Bose, Erik D. Demaine, Alon Efrat, Thérèse Biedl, Joseph S. B. Mitchell, Jonathan F. Buss, Martin L. Demaine, Moshe Dror, Sue Whitesides and Collette R. Coullard. Their work appears in journals such as Computational Geometry, Journal of Graph Algorithms and Applications, SIAM Journal on Computing, SIAM Journal on Discrete Mathematics and Discrete & Computational Geometry.

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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