Artūrs Bačkurs
Impact in
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- Complexity and Algorithms in Graphs
- Advanced Graph Theory Research
- semigroups and automata theory
- Artificial Intelligence top 10%
- Algorithms and Data Compression
Papers in
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- Algorithms and Data Compression 5
- Machine Learning and Algorithms 5
- Quantum Computing Algorithms and Architecture 3
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- Complexity and Algorithms in Graphs 8
- Advanced Graph Theory Research 4
- Co-authors
- Piotr Indyk (10 shared papers)Virginia Vassilevska Williams (5 shared papers)Amir Abboud (4 shared papers)Krzysztof Onak (2 shared papers)Sam Wiseman (1 shared paper)Liam Roditty (2 shared papers)Ludwig Schmidt (2 shared papers)Karl Stratos (1 shared paper)
- Journals
- SIAM Journal on Computing (2 papers)ACM Transactions on Algorithms (1 paper)Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing (1 paper)DOAJ (DOAJ: Directory of Open Access Journals) (1 paper)DROPS (Schloss Dagstuhl – Leibniz Center for Informatics) (4 papers)
- Partner nations
- United StatesNetherlandsIsrael
In The Last Decade
Artūrs Bačkurs
24 papers receiving 285 citations
Peers
Comparison fields: 5 of 48
- Computational Theory and Mathematics 104
- Artificial Intelligence 190
- Computer Graphics and Computer-Aided Design 14
- Hardware and Architecture 27
- Signal Processing 30
Countries citing papers authored by Artūrs Bačkurs
This map shows the geographic impact of Artūrs Bačkurs'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 Artūrs Bačkurs with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Artūrs Bačkurs more than expected).
Fields of papers citing papers by Artūrs Bačkurs
This network shows the impact of papers produced by Artūrs Bačkurs. 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 Artūrs Bačkurs. The network helps show where Artūrs Bačkurs may publish in the future.
Co-authors
The 25 scholars most cited alongside Artūrs Bačkurs, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 24 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2015 | 93 | |
| 2 | 2015 | 53 | |
| 3 | 2018 | 23 | |
| 4 | 2024 | 17 | |
| 5 | Space and Time Efficient Kernel Density Estimation in High Dimensions | 2019 | 13 |
| 6 | 2018 | 12 | |
| 7 | 2019 | 11 | |
| 8 | 2021 | 8 | |
| 9 | 2017 | 7 | |
| 10 | 2017 | 7 | |
| 11 | 2016 | 6 | |
| 12 | 2017 | 6 | |
| 13 | 2018 | 5 | |
| 14 | 2021 | 5 | |
| 15 | 2014 | 4 | |
| 16 | 2016 | 4 | |
| 17 | 2015 | 4 | |
| 18 | 2013 | 4 | |
| 19 | 2018 | 3 | |
| 20 | 2017 | 3 |
About Artūrs Bačkurs
Artūrs Bačkurs is a scholar working on Artificial Intelligence, Computational Theory and Mathematics, Computer Vision and Pattern Recognition, Computer Graphics and Computer-Aided Design and Computational Mechanics, having authored 24 papers that have together received 294 indexed citations. Recurring topics across this work include Complexity and Algorithms in Graphs (8 papers), Algorithms and Data Compression (5 papers), Machine Learning and Algorithms (5 papers), Computational Geometry and Mesh Generation (5 papers), Advanced Graph Theory Research (4 papers), Sparse and Compressive Sensing Techniques (3 papers), Data Management and Algorithms (3 papers) and Quantum Computing Algorithms and Architecture (3 papers). The work is most often cited by research in Computational Theory and Mathematics (104 citations), Artificial Intelligence (190 citations), Computer Graphics and Computer-Aided Design (14 citations), Hardware and Architecture (27 citations) and Signal Processing (30 citations). Artūrs Bačkurs has collaborated with scholars based in United States, Netherlands and Israel. Frequent co-authors include Piotr Indyk, Virginia Vassilevska Williams, Amir Abboud, Krzysztof Onak, Sam Wiseman, Liam Roditty, Ludwig Schmidt, Karl Stratos, Andris Ambainis and Ludwig Schmidt. Their work appears in journals such as SIAM Journal on Computing, ACM Transactions on Algorithms, Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing, DOAJ (DOAJ: Directory of Open Access Journals) and DROPS (Schloss Dagstuhl – Leibniz Center for Informatics).
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.