Anna Lubiw

142 papers receiving 1.8k citations

Peers

Anna Lubiw
Comparison fields: 5 of 82
  • Computer Graphics and Computer-Aided Design 1.1k
  • Discrete Mathematics and Combinatorics 146
  • Computational Theory and Mathematics 749
  • Computer Vision and Pattern Recognition 561
  • Signal Processing 230
Replace Thérèse Biedl with:
Thérèse Biedl Canada
Ferrán Hurtado Spain
Iyad A. Kanj United States
Michiel Smid Canada
Matthew J. Katz Israel
Isao Shirakawa Japan
David Rappaport Canada
Tetsuo Asano Japan
Christopher J. Van Wyk United States
Jurek Czyzowicz Canada
Anna Lubiw relative to Thérèse Biedl Canada Thérèse Biedl's profile →
Citations per field
00.5×2×3.0×
Thérèse Biedl · 1×
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 151 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1987124
2 1998111
3 1981101
4 200695
5 200390
6 200257
7 200153
8 198545
9
Unfolding some classes of orthogonal polyhedra.
199843
10 199142
11 199642
12 200439
13 199838
14 200634
15 199133
16 199027
17 199827
18 200126
19 200024
20 200323

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, Signal Processing and Industrial and Manufacturing Engineering, having authored 151 papers that have together received 1.9k indexed citations. Recurring topics across this work include Computational Geometry and Mesh Generation (109 papers), Advanced Graph Theory Research (41 papers), Advanced Materials and Mechanics (23 papers), Data Management and Algorithms (18 papers), Digital Image Processing Techniques (17 papers), graph theory and CDMA systems (17 papers), Computer Graphics and Visualization Techniques (14 papers) and Robotic Path Planning Algorithms (12 papers). The work is most often cited by research in Computer Graphics and Computer-Aided Design (1.1k citations), Discrete Mathematics and Combinatorics (146 citations), Computational Theory and Mathematics (749 citations), Computer Vision and Pattern Recognition (561 citations) and Signal Processing (230 citations). Anna Lubiw has collaborated with scholars based in Canada, United States and Italy. Frequent co-authors include Prosenjit K. Bose, Erik D. Demaine, Alon Efrat, Thérèse Biedl, Jonathan F. Buss, Martin L. Demaine, Joseph S. B. Mitchell, Stephen Kobourov, Sue H. Whitesides and Moshe Dror. Their work appears in journals such as Computational Geometry, Journal of Graph Algorithms and Applications, Lecture notes in computer science, SIAM Journal on Computing 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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