Kalev Kask
Impact in
- Signal Processing top 10%
- Data Management and Algorithms
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- Constraint Satisfaction and Optimization
- Advanced Database Systems and Queries
Papers in
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- Bayesian Modeling and Causal Inference 16
- Machine Learning and Algorithms 10
- AI-based Problem Solving and Planning 9
- Logic, Reasoning, and Knowledge 2
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- Constraint Satisfaction and Optimization 13
- Error Correcting Code Techniques 3
- Co-authors
- Rina Dechter (23 shared papers)Javier Larrosa (3 shared papers)Robert Mateescu (2 shared papers)Alexander Ihler (3 shared papers)Radu Marinescu (1 shared paper)Irina Rish (2 shared papers)Pierre Baldi (1 shared paper)Yadong Lu (1 shared paper)
- Journals
- Artificial Intelligence (2 papers)Journal of Computer and System Sciences (1 paper)Journal of Artificial Intelligence Research (1 paper)Annals of Mathematics and Artificial Intelligence (1 paper)Uncertainty in Artificial Intelligence (1 paper)
- Partner nations
- United StatesSpainIsrael
In The Last Decade
Kalev Kask
23 papers receiving 253 citations
Peers
Comparison fields: 5 of 33
- Signal Processing 93
- Computer Networks and Communications 168
- Artificial Intelligence 207
- Software 13
- Computational Theory and Mathematics 42
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-authors
The 10 scholars most cited alongside Kalev Kask, 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 | 2005 | 49 | |
| 2 | 2001 | 45 | |
| 3 | Stochastic local search for Bayesian network. | 1999 | 40 |
| 4 | 2002 | 22 | |
| 5 | 2011 | 20 | |
| 6 | 2012 | 18 | |
| 7 | GSAT and local consistency | 1995 | 17 |
| 8 | Branch and Bound with Mini-Bucket Heuristics | 1999 | 14 |
| 9 | 2002 | 13 | |
| 10 | Temporal reasoning with constraints on fluents and events | 1994 | 12 |
| 11 | A graph-based method for improving GSAT | 1996 | 10 |
| 12 | Abstraction Sampling in Graphical Models | 2018 | 4 |
| 13 | Approximation algorithms for graphical models | 2001 | 4 |
| 14 | 2017 | 3 | |
| 15 | 2013 | 3 | |
| 16 | 2017 | 3 | |
| 17 | 2012 | 3 | |
| 18 | 2011 | 2 | |
| 19 | 2021 | 2 | |
| 20 | Approximation Algorithms for Probabilistic Decoding | 1998 | 1 |
About Kalev Kask
Kalev Kask is a scholar working on Artificial Intelligence, Computer Networks and Communications, Signal Processing, Computational Theory and Mathematics and General Health Professions, 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), Machine Learning and Algorithms (10 papers), AI-based Problem Solving and Planning (9 papers), Data Management and Algorithms (5 papers), Error Correcting Code Techniques (3 papers), Logic, Reasoning, and Knowledge (2 papers) and Formal Methods in Verification (2 papers). The work is most often cited by research in Signal Processing (93 citations), Computer Networks and Communications (168 citations), Artificial Intelligence (207 citations), Software (13 citations) and Computational Theory and Mathematics (42 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, Pierre Baldi, Yadong Lu, Sakshi Agarwal and Vibhav Gogate. Their work appears in journals such as Artificial Intelligence, Journal of Computer and System Sciences, Journal of Artificial Intelligence Research, Annals of Mathematics and Artificial Intelligence and Uncertainty in Artificial Intelligence.
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.