Mateusz Malinowski
- Computer Vision and Pattern Recognition top 2%
- Artificial Intelligence top 5%
- Radiology, Nuclear Medicine and Imaging
- Media Technology
- Signal Processing
- Co-authors
- Mario FritzMarcus RohrbachBernt SchieleZeynep AkataJoseph A. ParadisoMark FeldmeierArthur RichardsJames L. McClelland
- Topics
- Multimodal Machine Learning Applications (7 papers)Domain Adaptation and Few-Shot Learning (7 papers)Advanced Image and Video Retrieval Techniques (5 papers)
- Journals
- Nature CommunicationsarXiv (Cornell University)DSpace@MIT (Massachusetts Institute of Technology)
- Partner nations
- GermanyUnited StatesUnited Kingdom
In The Last Decade
Mateusz Malinowski
18 papers receiving 620 citations
Hit Papers
Peers
Comparison fields: 5 of 61
- Computer Vision and Pattern Recognition 570
- Artificial Intelligence 462
- Radiology, Nuclear Medicine and Imaging 27
- Media Technology 16
- Signal Processing 13
Countries citing papers authored by Mateusz Malinowski
This map shows the geographic impact of Mateusz Malinowski'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 Mateusz Malinowski with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Mateusz Malinowski more than expected).
Fields of papers citing papers by Mateusz Malinowski
This network shows the impact of papers produced by Mateusz Malinowski. 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 Mateusz Malinowski. The network helps show where Mateusz Malinowski may publish in the future.
Co-authorship network of co-authors of Mateusz Malinowski
This figure shows the co-authorship network connecting the top 25 collaborators of Mateusz Malinowski. A scholar is included among the top collaborators of Mateusz Malinowski 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 Mateusz Malinowski. Mateusz Malinowski is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 5 | |
| 2 | 3 | |
| 3 | 11 | |
| 4 | 3 | |
| 5 | 2 | |
| 6 | 2 | |
| 7 | The Visual QA Devil is in the Details: On the Sensitivity of CLEVR results to Early Fusion and Batch Norm | 1 |
| 8 | Long-Term Image Boundary Extrapolation | 3 |
| 9 | 71 | |
| 10 | 1 | |
| 11 | Hard to Cheat: A Turing Test based on Answering Questions about Images | 3 |
| 12 | Ask Your Neurons: A Neural-Based Approach to Answering Questions about Imagesbreakdown → | 323 |
| 13 | 141 | |
| 14 | 24 | |
| 15 | Learnable Pooling Regions for Image Classification | 16 |
| 16 | 16 | |
| 17 | Capital Market Efficiency : an event study on the incorporation of football transfers | 1 |
| 18 | Large Group Musical Interaction using Disposable Wireless motion sensors | 18 |
About Mateusz Malinowski
Mateusz Malinowski is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Software, having authored 18 papers that have together received 644 indexed citations. Recurring topics across this work include Multimodal Machine Learning Applications (7 papers), Domain Adaptation and Few-Shot Learning (7 papers) and Advanced Image and Video Retrieval Techniques (5 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (570 citations), Artificial Intelligence (462 citations) and Media Technology (16 citations). Mateusz Malinowski has collaborated with scholars based in Germany, United States and United Kingdom. Frequent co-authors include Mario Fritz, Marcus Rohrbach, Bernt Schiele, Zeynep Akata, Joseph A. Paradiso, Mark Feldmeier, Arthur Richards, James L. McClelland, Alexander Lerchner and Yoram Bachrach. Their work appears in journals such as Nature Communications, arXiv (Cornell University) and DSpace@MIT (Massachusetts Institute of Technology).
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.