Boris N. Oreshkin
- Artificial Intelligence top 5%
- Computer Networks and Communications top 5%
- Computer Vision and Pattern Recognition top 5%
- Signal Processing top 5%
- Management Science and Operations Research top 5%
- Co-authors
- Mark CoatesMennatullah SiamCristian ChallúArtur DubrawskiKin G. OlivaresMichael RabbatMartin JägersandTarem Ahmed
- Topics
- Distributed Control Multi-Agent Systems (8 papers)Target Tracking and Data Fusion in Sensor Networks (6 papers)Time Series Analysis and Forecasting (4 papers)
- Journals
- IEEE Transactions on Signal ProcessingIEEE Transactions on Medical ImagingOperations Research
- Partner nations
- CanadaUnited StatesFrance
In The Last Decade
Boris N. Oreshkin
29 papers receiving 856 citations
Hit Papers
Peers
Comparison fields: 5 of 89
- Artificial Intelligence 376
- Computer Networks and Communications 335
- Computer Vision and Pattern Recognition 180
- Signal Processing 132
- Management Science and Operations Research 116
Countries citing papers authored by Boris N. Oreshkin
This map shows the geographic impact of Boris N. Oreshkin'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 Boris N. Oreshkin with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Boris N. Oreshkin more than expected).
Fields of papers citing papers by Boris N. Oreshkin
This network shows the impact of papers produced by Boris N. Oreshkin. 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 Boris N. Oreshkin. The network helps show where Boris N. Oreshkin may publish in the future.
Co-authorship network of co-authors of Boris N. Oreshkin
This figure shows the co-authorship network connecting the top 25 collaborators of Boris N. Oreshkin. A scholar is included among the top collaborators of Boris N. Oreshkin 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 Boris N. Oreshkin. Boris N. Oreshkin is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 2 | |
| 2 | NHITS: Neural Hierarchical Interpolation for Time Series Forecastingbreakdown → | 239 |
| 3 | 6 | |
| 4 | Reproducibility and Stability Analysis in Metric-Based Few-Shot Learning. | 1 |
| 5 | Adaptive Masked Weight Imprinting for Few-Shot Segmentation | 11 |
| 6 | 116 | |
| 7 | Random Numbers for Parallel Computers: Requirements and Methods | 1 |
| 8 | 22 | |
| 9 | 16 | |
| 10 | 3 | |
| 11 | 5 | |
| 12 | 4 | |
| 13 | 7 | |
| 14 | 80 | |
| 15 | 48 | |
| 16 | Multi-hop Greedy Gossip with Eavesdropping | 1 |
| 17 | Numerical breast models for commercial FDTD simulators | 3 |
| 18 | 14 | |
| 19 | 95 | |
| 20 | 2 |
About Boris N. Oreshkin
Boris N. Oreshkin is a scholar working on Computer Networks and Communications, Computer Vision and Pattern Recognition and Signal Processing, having authored 30 papers that have together received 887 indexed citations. Recurring topics across this work include Distributed Control Multi-Agent Systems (8 papers), Target Tracking and Data Fusion in Sensor Networks (6 papers) and Time Series Analysis and Forecasting (4 papers). The work is most often cited by research in Computer Networks and Communications (335 citations), Signal Processing (132 citations) and Artificial Intelligence (376 citations). Boris N. Oreshkin has collaborated with scholars based in Canada, United States and France. Frequent co-authors include Mark Coates, Mennatullah Siam, Cristian Challú, Artur Dubrawski, Kin G. Olivares, Michael Rabbat, Martin Jägersand, Tarem Ahmed, Tuncer C. Aysal and Pierre L’Ecuyer. Their work appears in journals such as IEEE Transactions on Signal Processing, IEEE Transactions on Medical Imaging and Operations 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.