Maria Chudnovsky
- Computational Theory and Mathematics top 0.2%
- Discrete Mathematics and Combinatorics top 0.2%
- Geometry and Topology top 1%
- Electrical and Electronic Engineering
- Computer Networks and Communications top 5%
- Co-authors
- Paul SeymourRobin ThomasNeil RobertsonKristina VuškovićXinming LiuGérard CornuéjolsFlavia BonomoAlex Scott
- Topics
- Advanced Graph Theory Research (126 papers)Limits and Structures in Graph Theory (77 papers)Graph Labeling and Dimension Problems (58 papers)
- Cited by
- Discrete Mathematics and CombinatoricsComputational Theory and MathematicsGeometry and Topology
- Partner nations
- United StatesCanadaUnited Kingdom
In The Last Decade
Maria Chudnovsky
119 papers receiving 1.8k citations
Hit Papers
Peers
Comparison fields: 5 of 62
- Computational Theory and Mathematics 1.7k
- Discrete Mathematics and Combinatorics 937
- Geometry and Topology 494
- Electrical and Electronic Engineering 277
- Computer Networks and Communications 225
Countries citing papers authored by Maria Chudnovsky
This map shows the geographic impact of Maria Chudnovsky'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 Maria Chudnovsky with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Maria Chudnovsky more than expected).
Fields of papers citing papers by Maria Chudnovsky
This network shows the impact of papers produced by Maria Chudnovsky. 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 Maria Chudnovsky. The network helps show where Maria Chudnovsky may publish in the future.
Co-authorship network of co-authors of Maria Chudnovsky
This figure shows the co-authorship network connecting the top 25 collaborators of Maria Chudnovsky. A scholar is included among the top collaborators of Maria Chudnovsky 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 Maria Chudnovsky. Maria Chudnovsky is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 3 | |
| 2 | 1 | |
| 3 | 0 | |
| 4 | 6 | |
| 5 | 4 | |
| 6 | 7 | |
| 7 | 7 | |
| 8 | 4 | |
| 9 | 6 | |
| 10 | 45 | |
| 11 | LexBFS, structure and algorithms | 1 |
| 12 | 17 | |
| 13 | 0 | |
| 14 | 14 | |
| 15 | Hadwiger's conjecture and seagull packing | 2 |
| 16 | 4 | |
| 17 | 11 | |
| 18 | 18 | |
| 19 | 2 | |
| 20 | 106 |
About Maria Chudnovsky
Maria Chudnovsky is a scholar working on Discrete Mathematics and Combinatorics, Computational Theory and Mathematics and Geometry and Topology, having authored 135 papers that have together received 1.9k indexed citations. Recurring topics across this work include Advanced Graph Theory Research (126 papers), Limits and Structures in Graph Theory (77 papers) and Graph Labeling and Dimension Problems (58 papers). The work is most often cited by research in Discrete Mathematics and Combinatorics (937 citations), Computational Theory and Mathematics (1.7k citations) and Geometry and Topology (494 citations). Maria Chudnovsky has collaborated with scholars based in United States, Canada and United Kingdom. Frequent co-authors include Paul Seymour, Robin Thomas, Neil Robertson, Kristina Vušković, Xinming Liu, Gérard Cornuéjols, Flavia Bonomo, Alex Scott, Muli Safra and Guillermo Durán. Their work appears in journals such as Annals of Mathematics, IEEE/ACM Transactions on Networking and Mathematical Programming.
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.