Irina Rish
About
In The Last Decade
Irina Rish
79 papers receiving 3.2k citations
Hit Papers
Peers
Comparison fields: 5 of 191
- Artificial Intelligence 1.5k
- Computer Networks and Communications 899
- Information Systems 611
- Computer Vision and Pattern Recognition 399
- Signal Processing 351
Countries citing papers authored by Irina Rish
This map shows the geographic impact of Irina Rish'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 Irina Rish with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Irina Rish more than expected).
Fields of papers citing papers by Irina Rish
This network shows the impact of papers produced by Irina Rish. 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 Irina Rish. The network helps show where Irina Rish may publish in the future.
Co-authorship network of co-authors of Irina Rish
This figure shows the co-authorship network connecting the top 25 collaborators of Irina Rish. A scholar is included among the top collaborators of Irina Rish 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 Irina Rish. Irina Rish 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 | 3 | |
| 4 | 9 | |
| 5 | 28 | |
| 6 | Online Fast Adaptation and Knowledge Accumulation (OSAKA): a New Approach to Continual Learning | 23 |
| 7 | Beyond Backprop: Alternating Minimization with co-Activation Memory. | 4 |
| 8 | 5 | |
| 9 | 24 | |
| 10 | Variable Selection for Gaussian Graphical Models | 8 |
| 11 | Sparse Markov Net Learning with Priors on Regularization Parameters | 2 |
| 12 | Active Collaborative Prediction with Maximum Margin Matrix Factorization. | 11 |
| 13 | 111 | |
| 14 | Active probing strategies for problem diagnosis in distributed systems | 25 |
| 15 | Approximability of Probability Distributions | 7 |
| 16 | 23 | |
| 17 | Inference Complexity as a Model-Selection Criterion for Learning Bayesian Networks. | 2 |
| 18 | Recognizing End-User Transactions in Performance Management | 35 |
| 19 | Approximation Algorithms for Probabilistic Decoding | 1 |
| 20 | Summarizing CSP hardness with continuous probability distributions | 21 |
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.