Andras Palffy
Impact in
- Instrumentation top 10%
- Advanced Optical Sensing Technologies
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- Advanced Neural Network Applications
Papers in
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- Video Surveillance and Tracking Methods 2
- Advanced Neural Network Applications 2
- Advanced Vision and Imaging 1
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- Autonomous Vehicle Technology and Safety 3
- Co-authors
- Dariu M. Gavrila (4 shared papers)Julian F. P. Kooij (3 shared papers)Ewoud A. I. Pool (1 shared paper)Chris Xiaoxuan Lu (1 shared paper)Fangqiang Ding (1 shared paper)Holger Caesar (2 shared papers)Nannan Li (1 shared paper)E. Kasper (1 shared paper)
- Journals
- IEEE Transactions on Intelligent Vehicles (2 papers)IEEE Robotics and Automation Letters (1 paper)Research Repository (Delft University of Technology) (1 paper)Data Archiving and Networked Services (DANS) (1 paper)
- Partner nations
- NetherlandsGermanyUnited States
In The Last Decade
Andras Palffy
6 papers receiving 245 citations
Andras Palffy's Hit Papers
Peers
Comparison fields: 5 of 36
- Instrumentation 31
- Computer Vision and Pattern Recognition 118
- Aerospace Engineering 136
- Automotive Engineering 46
- Environmental Engineering 21
Countries citing papers authored by Andras Palffy
This map shows the geographic impact of Andras Palffy'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 Andras Palffy with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Andras Palffy more than expected).
Fields of papers citing papers by Andras Palffy
This network shows the impact of papers produced by Andras Palffy. 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 Andras Palffy. The network helps show where Andras Palffy may publish in the future.
Co-authors
The 8 scholars most cited alongside Andras Palffy, 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 | Multi-Class Road User Detection With 3+1D Radar in the View-of-Delft Dataset Hit paper breakdown → | 2022 | 166 |
| 2 | 2023 | 28 | |
| 3 | 2022 | 24 | |
| 4 | 2019 | 22 | |
| 5 | 2024 | 10 | |
| 6 | 2025 | 1 | |
| 7 | 2024 | 0 |
About Andras Palffy
Andras Palffy is a scholar working on Computer Vision and Pattern Recognition, Automotive Engineering, Aerospace Engineering, Control and Systems Engineering and Signal Processing, having authored 7 papers that have together received 251 indexed citations. Recurring topics across this work include Autonomous Vehicle Technology and Safety (3 papers), Video Surveillance and Tracking Methods (2 papers), Advanced Neural Network Applications (2 papers), Robotics and Sensor-Based Localization (2 papers), Optical Systems and Laser Technology (1 paper), Infrared Target Detection Methodologies (1 paper), Advanced Vision and Imaging (1 paper) and Human Motion and Animation (1 paper). The work is most often cited by research in Instrumentation (31 citations), Computer Vision and Pattern Recognition (118 citations), Aerospace Engineering (136 citations), Automotive Engineering (46 citations) and Environmental Engineering (21 citations). Andras Palffy has collaborated with scholars based in Netherlands, Germany and United States. Frequent co-authors include Dariu M. Gavrila, Julian F. P. Kooij, Ewoud A. I. Pool, Chris Xiaoxuan Lu, Fangqiang Ding, Holger Caesar, Nannan Li and E. Kasper. Their work appears in journals such as IEEE Transactions on Intelligent Vehicles, IEEE Robotics and Automation Letters, Research Repository (Delft University of Technology) and Data Archiving and Networked Services (DANS).
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.