Anahí Gajardo
- Artificial Intelligence top 10%
- Statistical and Nonlinear Physics top 5%
- Computational Theory and Mathematics top 5%
- Information Systems top 10%
- Computer Vision and Pattern Recognition top 10%
- Co-authors
- Pierre SenellartVincent D. BlondelPaul Van DoorenAndrés MoreiraEric GolesJarkko KariJohan MazoyerÉric Goles
- Topics
- Cellular Automata and Applications (10 papers)DNA and Biological Computing (5 papers)Computability, Logic, AI Algorithms (5 papers)
- Cited by
- Statistical and Nonlinear PhysicsComputational MathematicsComputational Theory and Mathematics
- Partner nations
- ChileFranceKazakhstan
In The Last Decade
Anahí Gajardo
13 papers receiving 303 citations
Peers
Comparison fields: 5 of 73
- Artificial Intelligence 148
- Statistical and Nonlinear Physics 110
- Computational Theory and Mathematics 85
- Information Systems 84
- Computer Vision and Pattern Recognition 60
Countries citing papers authored by Anahí Gajardo
This map shows the geographic impact of Anahí Gajardo'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 Anahí Gajardo with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Anahí Gajardo more than expected).
Fields of papers citing papers by Anahí Gajardo
This network shows the impact of papers produced by Anahí Gajardo. 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 Anahí Gajardo. The network helps show where Anahí Gajardo may publish in the future.
Co-authorship network of co-authors of Anahí Gajardo
This figure shows the co-authorship network connecting the top 25 collaborators of Anahí Gajardo. A scholar is included among the top collaborators of Anahí Gajardo 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 Anahí Gajardo. Anahí Gajardo is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 1 | |
| 3 | 9 | |
| 4 | 1 | |
| 5 | 5 | |
| 6 | Sofic one head machines | 0 |
| 7 | 6 | |
| 8 | 5 | |
| 9 | 6 | |
| 10 | 278 | |
| 11 | 3 | |
| 12 | 29 | |
| 13 | 2 | |
| 14 | 4 |
About Anahí Gajardo
Anahí Gajardo is a scholar working on Computational Theory and Mathematics, Mathematical Physics and Condensed Matter Physics, having authored 14 papers that have together received 350 indexed citations. Recurring topics across this work include Cellular Automata and Applications (10 papers), DNA and Biological Computing (5 papers) and Computability, Logic, AI Algorithms (5 papers). The work is most often cited by research in Statistical and Nonlinear Physics (110 citations), Computational Mathematics (5 citations) and Computational Theory and Mathematics (85 citations). Anahí Gajardo has collaborated with scholars based in Chile, France and Kazakhstan. Frequent co-authors include Pierre Senellart, Vincent D. Blondel, Paul Van Dooren, Andrés Moreira, Eric Goles, Eric Goles, Jarkko Kari, Johan Mazoyer, Éric Goles and Julio Aracena. Their work appears in journals such as SIAM Review, Theoretical Computer Science and Journal of Computer and System Sciences.
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.