Kalev Kask
- Artificial Intelligence top 5%
- Computer Networks and Communications top 5%
- Signal Processing top 10%
- Computational Theory and Mathematics top 10%
- Management Science and Operations Research
- Co-authors
- Rina DechterJavier LarrosaRobert MateescuAlexander IhlerRadu MarinescuIrina RishYadong LuPierre Baldi
- Topics
- Bayesian Modeling and Causal Inference (16 papers)Constraint Satisfaction and Optimization (13 papers)Machine Learning and Algorithms (10 papers)
- Journals
- Artificial IntelligenceJournal of Computer and System SciencesJournal of Artificial Intelligence Research
- Partner nations
- United StatesSpainIsrael
In The Last Decade
Kalev Kask
23 papers receiving 253 citations
Peers
Comparison fields: 5 of 33
- Artificial Intelligence 207
- Computer Networks and Communications 168
- Signal Processing 93
- Computational Theory and Mathematics 42
- Management Science and Operations Research 32
Countries citing papers authored by Kalev Kask
This map shows the geographic impact of Kalev Kask'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 Kalev Kask with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Kalev Kask more than expected).
Fields of papers citing papers by Kalev Kask
This network shows the impact of papers produced by Kalev Kask. 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 Kalev Kask. The network helps show where Kalev Kask may publish in the future.
Co-authorship network of co-authors of Kalev Kask
This figure shows the co-authorship network connecting the top 25 collaborators of Kalev Kask. A scholar is included among the top collaborators of Kalev Kask 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 Kalev Kask. Kalev Kask 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 | 1 | |
| 3 | Abstraction Sampling in Graphical Models | 4 |
| 4 | 3 | |
| 5 | 3 | |
| 6 | 3 | |
| 7 | 1 | |
| 8 | 3 | |
| 9 | 49 | |
| 10 | New Look-Ahead Schemes for Constraint Satisfaction | 1 |
| 11 | 22 | |
| 12 | 13 | |
| 13 | 45 | |
| 14 | Approximation algorithms for graphical models | 4 |
| 15 | Branch and Bound with Mini-Bucket Heuristics | 14 |
| 16 | Stochastic local search for Bayesian network. | 40 |
| 17 | Approximation Algorithms for Probabilistic Decoding | 1 |
| 18 | A graph-based method for improving GSAT | 10 |
| 19 | GSAT and local consistency | 17 |
| 20 | Temporal reasoning with constraints on fluents and events | 12 |
About Kalev Kask
Kalev Kask is a scholar working on Computer Networks and Communications, Artificial Intelligence and Signal Processing, having authored 24 papers that have together received 288 indexed citations. Recurring topics across this work include Bayesian Modeling and Causal Inference (16 papers), Constraint Satisfaction and Optimization (13 papers) and Machine Learning and Algorithms (10 papers). The work is most often cited by research in Signal Processing (93 citations), Computer Networks and Communications (168 citations) and Artificial Intelligence (207 citations). Kalev Kask has collaborated with scholars based in United States, Spain and Israel. Frequent co-authors include Rina Dechter, Javier Larrosa, Robert Mateescu, Alexander Ihler, Radu Marinescu, Irina Rish, Yadong Lu, Pierre Baldi, Sakshi Agarwal and Vibhav Gogate. Their work appears in journals such as Artificial Intelligence, Journal of Computer and System Sciences and Journal of Artificial Intelligence Research.
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.