J. Rissanen
- Signal Processing top 0.1%
- Blind Source Separation Techniques 10
- Artificial Intelligence top 0.05%
- Algorithms and Data Compression 46
- Machine Learning and Algorithms 17
- Neural Networks and Applications 11
- Statistics and Probability top 0.2%
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- Advanced Data Compression Techniques 12
- Computational Theory and Mathematics top 0.1%
- Cellular Automata and Applications 15
- Computability, Logic, AI Algorithms 15
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- Fault Detection and Control Systems 15
- Co-authors
- Glen G. LangdonBin YuAndrew R. BarronE. J. HannanM.J. WeinbergerMeir FederR. ArpsPeter E. Caines
- Journals
- Journal of the American Statistical Association (1 paper)IEEE Transactions on Automatic Control (4 papers)IEEE Transactions on Information Theory (20 papers)
- Partner nations
- United StatesFinlandUnited Kingdom
In The Last Decade
J. Rissanen
111 papers receiving 12.0k citations
Hit Papers
Peers
Comparison fields: 5 of 181
- Signal Processing 2.8k
- Artificial Intelligence 7.2k
- Statistics and Probability 1.3k
- Computer Vision and Pattern Recognition 3.0k
- Computational Theory and Mathematics 1.9k
Countries citing papers authored by J. Rissanen
This map shows the geographic impact of J. Rissanen'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 J. Rissanen with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites J. Rissanen more than expected).
Fields of papers citing papers by J. Rissanen
This network shows the impact of papers produced by J. Rissanen. 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 J. Rissanen. The network helps show where J. Rissanen may publish in the future.
Co-authorship network
The 25 scholars most cited alongside J. Rissanen, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2009 | 15 | |
| 2 | 2007 | 1 | |
| 3 | 2004 | 9 | |
| 4 | Efficient Computing of Stochastic Complexity. | 2003 | 14 |
| 5 | The minimum description length principle in coding and modeling (invited paper) | 2000 | 1 |
| 6 | Stochastic Complexity in Statistical Inquirybreakdown → | 1998 | 897 |
| 7 | The minimum description length principle in coding and modelingbreakdown → | 1998 | 657 |
| 8 | 1997 | 27 | |
| 9 | MDL-based decision tree pruning | 1995 | 112 |
| 10 | Stochastic Complexity in Statistical Inquiry Theory | 1989 | 65 |
| 11 | 1987 | 69 | |
| 12 | Modeling by shortest data descriptionbreakdown → | 1978 | 3807 |
| 13 | 1976 | 5 | |
| 14 | On Canonical Forms, Parameter Identifiability and the Concept of Complexity | 1975 | 19 |
| 15 | 1974 | 57 | |
| 16 | 1973 | 146 | |
| 17 | 1971 | 9 | |
| 18 | 1970 | 1 | |
| 19 | 1967 | 10 | |
| 20 | 1967 | 7 |
About J. Rissanen
J. Rissanen is a scholar working on Computational Theory and Mathematics, Artificial Intelligence and Signal Processing, having authored 119 papers that have together received 13.5k indexed citations. Recurring topics across this work include Algorithms and Data Compression (46 papers), Machine Learning and Algorithms (17 papers), Fault Detection and Control Systems (15 papers), Cellular Automata and Applications (15 papers), Computability, Logic, AI Algorithms (15 papers), Advanced Data Compression Techniques (12 papers), Neural Networks and Applications (11 papers) and Blind Source Separation Techniques (10 papers). The work is most often cited by research in Signal Processing (2.8k citations), Artificial Intelligence (7.2k citations) and Statistics and Probability (1.3k citations). J. Rissanen has collaborated with scholars based in United States, Finland and United Kingdom. Frequent co-authors include Glen G. Langdon, Bin Yu, Andrew R. Barron, E. J. Hannan, M.J. Weinberger, Meir Feder, R. Arps, Peter E. Caines, Rakesh Agrawal and Manish Mehta. Their work appears in journals such as Journal of the American Statistical Association, IEEE Transactions on Automatic Control and IEEE Transactions on Information Theory.
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.