Pavlo Molchanov
- Computer Vision and Pattern Recognition top 0.5%
- Artificial Intelligence top 1%
- Human-Computer Interaction top 0.2%
- Biomedical Engineering top 5%
- Electrical and Electronic Engineering
- Co-authors
- Jan KautzKihwan KimShalini GuptaStephen TyreeHongxu YinJosé M. AlvarezArun MallyaKari Pulli
- Topics
- Advanced Neural Network Applications (14 papers)Domain Adaptation and Few-Shot Learning (10 papers)Human Pose and Action Recognition (10 papers)
- Journals
- IEEE Transactions on Medical ImagingMedical Image AnalysisActive and Passive Electronic Components
- Partner nations
- United StatesUkraineUnited Kingdom
In The Last Decade
Pavlo Molchanov
42 papers receiving 2.8k citations
Hit Papers
Peers
Comparison fields: 5 of 125
- Computer Vision and Pattern Recognition 1.6k
- Artificial Intelligence 1.0k
- Human-Computer Interaction 1.0k
- Biomedical Engineering 546
- Electrical and Electronic Engineering 306
Countries citing papers authored by Pavlo Molchanov
This map shows the geographic impact of Pavlo Molchanov'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 Pavlo Molchanov with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Pavlo Molchanov more than expected).
Fields of papers citing papers by Pavlo Molchanov
This network shows the impact of papers produced by Pavlo Molchanov. 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 Pavlo Molchanov. The network helps show where Pavlo Molchanov may publish in the future.
Co-authorship network of co-authors of Pavlo Molchanov
This figure shows the co-authorship network connecting the top 25 collaborators of Pavlo Molchanov. A scholar is included among the top collaborators of Pavlo Molchanov 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 Pavlo Molchanov. Pavlo Molchanov 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 | 0 | |
| 3 | 0 | |
| 4 | 1 | |
| 5 | 0 | |
| 6 | 13 | |
| 7 | 64 | |
| 8 | 20 | |
| 9 | A-ViT: Adaptive Tokens for Efficient Vision Transformerbreakdown → | 165 |
| 10 | 10 | |
| 11 | 43 | |
| 12 | See through Gradients: Image Batch Recovery via GradInversionbreakdown → | 254 |
| 13 | 148 | |
| 14 | 0 | |
| 15 | Dreaming to Distill: Data-Free Knowledge Transfer via DeepInversionbreakdown → | 284 |
| 16 | IamNN: Iterative and Adaptive Mobile Neural Network for Efficient Image Classification | 0 |
| 17 | Pruning Convolutional Neural Networks for Resource Efficient Inference | 123 |
| 18 | Pruning Convolutional Neural Networks for Resource Efficient Transfer Learning. | 197 |
| 19 | Hand gesture recognition with 3D convolutional neural networksbreakdown → | 331 |
| 20 | 179 |
About Pavlo Molchanov
Pavlo Molchanov is a scholar working on Computer Vision and Pattern Recognition, Human-Computer Interaction and Instrumentation, having authored 57 papers that have together received 2.9k indexed citations. Recurring topics across this work include Advanced Neural Network Applications (14 papers), Domain Adaptation and Few-Shot Learning (10 papers) and Human Pose and Action Recognition (10 papers). The work is most often cited by research in Human-Computer Interaction (1.0k citations), Computer Vision and Pattern Recognition (1.6k citations) and Artificial Intelligence (1.0k citations). Pavlo Molchanov has collaborated with scholars based in United States, Ukraine and United Kingdom. Frequent co-authors include Jan Kautz, Kihwan Kim, Shalini Gupta, Stephen Tyree, Hongxu Yin, José M. Alvarez, Arun Mallya, Kari Pulli, Xiaodong Yang and Arash Vahdat. Their work appears in journals such as IEEE Transactions on Medical Imaging, Medical Image Analysis and Active and Passive Electronic Components.
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.