Albert Atserias
- Computational Theory and Mathematics top 2%
- Artificial Intelligence top 5%
- Computer Networks and Communications top 5%
- Signal Processing top 5%
- Computer Vision and Pattern Recognition
- Co-authors
- Martin GroheDániel MarxAnuj DawarMarı́a Luisa BonetPhokion G. KolaitisElitza ManevaAndreǐ A. BulatovJuan Luis Esteban
- Topics
- Complexity and Algorithms in Graphs (25 papers)Advanced Graph Theory Research (19 papers)Logic, Reasoning, and Knowledge (15 papers)
- Cited by
- Computational Theory and MathematicsSignal ProcessingDiscrete Mathematics and Combinatorics
- Partner nations
- SpainUnited StatesUnited Kingdom
In The Last Decade
Albert Atserias
43 papers receiving 466 citations
Peers
Comparison fields: 5 of 33
- Computational Theory and Mathematics 339
- Artificial Intelligence 230
- Computer Networks and Communications 184
- Signal Processing 116
- Computer Vision and Pattern Recognition 56
Countries citing papers authored by Albert Atserias
This map shows the geographic impact of Albert Atserias'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 Albert Atserias with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Albert Atserias more than expected).
Fields of papers citing papers by Albert Atserias
This network shows the impact of papers produced by Albert Atserias. 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 Albert Atserias. The network helps show where Albert Atserias may publish in the future.
Co-authorship network of co-authors of Albert Atserias
This figure shows the co-authorship network connecting the top 25 collaborators of Albert Atserias. A scholar is included among the top collaborators of Albert Atserias 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 Albert Atserias. Albert Atserias is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 0 | |
| 3 | 1 | |
| 4 | 3 | |
| 5 | 1 | |
| 6 | 2 | |
| 7 | 14 | |
| 8 | 7 | |
| 9 | Graph Isomorphism, Sherali-Adams Relaxations and Expressibility in Counting Logics. | 2 |
| 10 | 4 | |
| 11 | 33 | |
| 12 | 25 | |
| 13 | 28 | |
| 14 | Non-uniform Hardness for NP via Black-Box Adversaries | 2 |
| 15 | On Chvátal Rank and Cutting Planes Proofs | 1 |
| 16 | 4 | |
| 17 | 27 | |
| 18 | 9 | |
| 19 | 26 | |
| 20 | Refining logical characterizations of advice complexity classes | 1 |
About Albert Atserias
Albert Atserias is a scholar working on Computational Theory and Mathematics, Artificial Intelligence and Discrete Mathematics and Combinatorics, having authored 48 papers that have together received 498 indexed citations. Recurring topics across this work include Complexity and Algorithms in Graphs (25 papers), Advanced Graph Theory Research (19 papers) and Logic, Reasoning, and Knowledge (15 papers). The work is most often cited by research in Computational Theory and Mathematics (339 citations), Signal Processing (116 citations) and Discrete Mathematics and Combinatorics (33 citations). Albert Atserias has collaborated with scholars based in Spain, United States and United Kingdom. Frequent co-authors include Martin Grohe, Dániel Marx, Anuj Dawar, Marı́a Luisa Bonet, Phokion G. Kolaitis, Elitza Maneva, Andreǐ A. Bulatov, Juan Luis Esteban, Jakob Nordström and Massimo Lauria. Their work appears in journals such as Journal of the ACM, SIAM Journal on Computing and Theoretical Computer Science.
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.