Piotr Mirowski
Impact in
- Signal Processing top 2%
- Blind Source Separation Techniques
- Atmospheric Science top 5%
- Meteorological Phenomena and Simulations
- Precipitation Measurement and Analysis
Papers in
-
- Speech and Audio Processing 3
-
- Multimodal Machine Learning Applications 6
- Co-authors
- Yann LeCunTin Kam HoDeepak MadhavanRuben KuznieckyChun-Nam YuMichael B. MacDonaldKory W. MathewsonGloria M. Coruzzi
- Journals
- Bell Labs Technical Journal (2 papers)Clinical Neurophysiology (1 paper)Epilepsy Research (1 paper)Brain Research (1 paper)Mathematical Geosciences (1 paper)
- Partner nations
- United StatesUnited KingdomCanada
In The Last Decade
Piotr Mirowski
40 papers receiving 2.2k citations
Hit Papers
Peers
Comparison fields: 5 of 140
- Signal Processing 327
- Atmospheric Science 359
- Cognitive Neuroscience 378
- Computer Vision and Pattern Recognition 297
- Artificial Intelligence 457
Countries citing papers authored by Piotr Mirowski
This map shows the geographic impact of Piotr Mirowski'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 Piotr Mirowski with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Piotr Mirowski more than expected).
Fields of papers citing papers by Piotr Mirowski
This network shows the impact of papers produced by Piotr Mirowski. 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 Piotr Mirowski. The network helps show where Piotr Mirowski may publish in the future.
Co-authors
The 25 scholars most cited alongside Piotr Mirowski, 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 | 2023 | 2 | |
| 2 | Skilful precipitation nowcasting using deep generative models of radar Hit paper breakdown → | 2021 | 554 |
| 3 | 2020 | 10 | |
| 4 | Rosetta Code: Improv in Any Language. | 2020 | 2 |
| 5 | 2019 | 4 | |
| 6 | 2019 | 5 | |
| 7 | 2019 | 17 | |
| 8 | 2017 | 17 | |
| 9 | 2016 | 115 | |
| 10 | 2014 | 6 | |
| 11 | 2014 | 46 | |
| 12 | Sub-meter Accuracy 3D Indoor Positioning Algorithm by Matching Feature Points of 2D Smartphone Photo | 2013 | 2 |
| 13 | 2011 | 8 | |
| 14 | 2011 | 54 | |
| 15 | 2010 | 223 | |
| 16 | Dynamic auto-encoders for semantic indexing | 2010 | 18 |
| 17 | 2009 | 263 | |
| 18 | 2008 | 17 | |
| 19 | 2008 | 2 | |
| 20 | 2007 | 13 |
About Piotr Mirowski
Piotr Mirowski is a scholar working on Signal Processing, Computer Vision and Pattern Recognition, Artificial Intelligence, Human-Computer Interaction and Aerospace Engineering, having authored 41 papers that have together received 2.3k indexed citations. Recurring topics across this work include Indoor and Outdoor Localization Technologies (9 papers), Robotics and Sensor-Based Localization (7 papers), Multimodal Machine Learning Applications (6 papers), Topic Modeling (4 papers), Reinforcement Learning in Robotics (4 papers), Speech and Audio Processing (3 papers), Energy Load and Power Forecasting (3 papers) and Underwater Vehicles and Communication Systems (3 papers). The work is most often cited by research in Signal Processing (327 citations), Atmospheric Science (359 citations), Cognitive Neuroscience (378 citations), Computer Vision and Pattern Recognition (297 citations) and Artificial Intelligence (457 citations). Piotr Mirowski has collaborated with scholars based in United States, United Kingdom and Canada. Frequent co-authors include Yann LeCun, Tin Kam Ho, Deepak Madhavan, Ruben Kuzniecky, Chun-Nam Yu, Michael B. MacDonald, Kory W. Mathewson, Gloria M. Coruzzi, Dennis Shasha and Gabriel Krouk. Their work appears in journals such as Bell Labs Technical Journal, Clinical Neurophysiology, Epilepsy Research, Brain Research and Mathematical Geosciences.
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.