Tomasz Malisiewicz
- Computer Vision and Pattern Recognition top 0.5%
- Artificial Intelligence top 5%
- Aerospace Engineering top 5%
- Media Technology top 2%
- Geology top 5%
- Co-authors
- Alexei A. EfrosAbhinav GuptaAntonio TorralbaAbhinav ShrivastavaCarl VondrickAditya KhoslaVijay BadrinarayananChen‐Yu Lee
- Topics
- Advanced Image and Video Retrieval Techniques (16 papers)Advanced Neural Network Applications (6 papers)Image Retrieval and Classification Techniques (5 papers)
- Journals
- ACM Transactions on GraphicsInternational Journal of Computer VisionFigshare
- Partner nations
- United StatesSwitzerland
In The Last Decade
Tomasz Malisiewicz
18 papers receiving 1.5k citations
Hit Papers
Peers
Comparison fields: 5 of 93
- Computer Vision and Pattern Recognition 1.3k
- Artificial Intelligence 325
- Aerospace Engineering 301
- Media Technology 146
- Geology 110
Countries citing papers authored by Tomasz Malisiewicz
This map shows the geographic impact of Tomasz Malisiewicz'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 Tomasz Malisiewicz with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Tomasz Malisiewicz more than expected).
Fields of papers citing papers by Tomasz Malisiewicz
This network shows the impact of papers produced by Tomasz Malisiewicz. 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 Tomasz Malisiewicz. The network helps show where Tomasz Malisiewicz may publish in the future.
Co-authorship network of co-authors of Tomasz Malisiewicz
This figure shows the co-authorship network connecting the top 25 collaborators of Tomasz Malisiewicz. A scholar is included among the top collaborators of Tomasz Malisiewicz 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 Tomasz Malisiewicz. Tomasz Malisiewicz is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 45 | |
| 2 | Learning Data-Adaptive Interest Points through Epipolar Adaptation. | 1 |
| 3 | 54 | |
| 4 | 17 | |
| 5 | 101 | |
| 6 | 24 | |
| 7 | 1 | |
| 8 | 145 | |
| 9 | Exemplar-SVMs for visual object detection, label transfer and image retrieval | 6 |
| 10 | A Gaussian Approximation of Feature Space for Fast Image Similarity | 19 |
| 11 | Ensemble of exemplar-SVMs for object detection and beyondbreakdown → | 567 |
| 12 | 89 | |
| 13 | 18 | |
| 14 | Exemplar-based representations for object detection, association and beyond | 8 |
| 15 | 138 | |
| 16 | 96 | |
| 17 | 178 | |
| 18 | 16 |
About Tomasz Malisiewicz
Tomasz Malisiewicz is a scholar working on Computer Vision and Pattern Recognition, Media Technology and Geology, having authored 18 papers that have together received 1.5k indexed citations. Recurring topics across this work include Advanced Image and Video Retrieval Techniques (16 papers), Advanced Neural Network Applications (6 papers) and Image Retrieval and Classification Techniques (5 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (1.3k citations), Geology (110 citations) and Media Technology (146 citations). Tomasz Malisiewicz has collaborated with scholars based in United States and Switzerland. Frequent co-authors include Alexei A. Efros, Abhinav Gupta, Antonio Torralba, Abhinav Shrivastava, Carl Vondrick, Aditya Khosla, Vijay Badrinarayanan, Chen‐Yu Lee, Andrew Rabinovich and Daniel DeTone. Their work appears in journals such as ACM Transactions on Graphics, International Journal of Computer Vision and Figshare.
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.