Mihai Bâdoiu
- Artificial Intelligence top 5%
- Computer Vision and Pattern Recognition top 5%
- Computer Graphics and Computer-Aided Design top 2%
- Computational Theory and Mathematics top 5%
- Signal Processing top 10%
- Co-authors
- Piotr IndykKenneth L. ClarksonSariel Har-PeledAnastasios SidiropoulosErik D. DemaineJulia ChuzhoyMohammad Taghi HajiaghayiMohammadTaghi Hajiaghayi
- Topics
- Computational Geometry and Mesh Generation (5 papers)Complexity and Algorithms in Graphs (4 papers)Sparse and Compressive Sensing Techniques (3 papers)
- Cited by
- Computer Graphics and Computer-Aided DesignComputational Theory and MathematicsComputer Vision and Pattern Recognition
- Partner nations
- United StatesIsrael
In The Last Decade
Mihai Bâdoiu
13 papers receiving 510 citations
Peers
Comparison fields: 5 of 45
- Artificial Intelligence 255
- Computer Vision and Pattern Recognition 200
- Computer Graphics and Computer-Aided Design 177
- Computational Theory and Mathematics 173
- Signal Processing 101
Countries citing papers authored by Mihai Bâdoiu
This map shows the geographic impact of Mihai Bâdoiu'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 Mihai Bâdoiu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Mihai Bâdoiu more than expected).
Fields of papers citing papers by Mihai Bâdoiu
This network shows the impact of papers produced by Mihai Bâdoiu. 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 Mihai Bâdoiu. The network helps show where Mihai Bâdoiu may publish in the future.
Co-authorship network of co-authors of Mihai Bâdoiu
This figure shows the co-authorship network connecting the top 25 collaborators of Mihai Bâdoiu. A scholar is included among the top collaborators of Mihai Bâdoiu 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 Mihai Bâdoiu. Mihai Bâdoiu is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 8 | |
| 2 | 19 | |
| 3 | 82 | |
| 4 | 13 | |
| 5 | 8 | |
| 6 | 13 | |
| 7 | Algorithmic embeddings | 1 |
| 8 | 37 | |
| 9 | A Constant-Factor Approximation Algorithm for Embedding Unweighted Graphs into Trees | 3 |
| 10 | 24 | |
| 11 | 1 | |
| 12 | 19 | |
| 13 | 89 | |
| 14 | 48 | |
| 15 | 200 |
About Mihai Bâdoiu
Mihai Bâdoiu is a scholar working on Computer Graphics and Computer-Aided Design, Computational Theory and Mathematics and Signal Processing, having authored 15 papers that have together received 565 indexed citations. Recurring topics across this work include Computational Geometry and Mesh Generation (5 papers), Complexity and Algorithms in Graphs (4 papers) and Sparse and Compressive Sensing Techniques (3 papers). The work is most often cited by research in Computer Graphics and Computer-Aided Design (177 citations), Computational Theory and Mathematics (173 citations) and Computer Vision and Pattern Recognition (200 citations). Mihai Bâdoiu has collaborated with scholars based in United States and Israel. Frequent co-authors include Piotr Indyk, Kenneth L. Clarkson, Sariel Har-Peled, Anastasios Sidiropoulos, Erik D. Demaine, Julia Chuzhoy, Mohammad Taghi Hajiaghayi, MohammadTaghi Hajiaghayi, Richard Cole and John Iacono. Their work appears in journals such as Theoretical Computer Science, Discrete & Computational Geometry and 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.