A. Gacsádi
- Computer Vision and Pattern Recognition top 5%
- Artificial Intelligence top 10%
- Computer Networks and Communications
- Radiology, Nuclear Medicine and Imaging
- Cognitive Neuroscience
- Topics
- Neural Networks and Applications (23 papers)Neural Networks Stability and Synchronization (22 papers)Image and Signal Denoising Methods (7 papers)
- Journals
- SHILAP Revista de lepidopterologíaBiomedical Signal Processing and ControlInternational Journal of Computers Communications & Control
In The Last Decade
A. Gacsádi
38 papers receiving 256 citations
Peers
Comparison fields: 5 of 56
- Computer Vision and Pattern Recognition 144
- Artificial Intelligence 135
- Computer Networks and Communications 57
- Radiology, Nuclear Medicine and Imaging 50
- Cognitive Neuroscience 44
Countries citing papers authored by A. Gacsádi
This map shows the geographic impact of A. Gacsádi'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 A. Gacsádi with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites A. Gacsádi more than expected).
Fields of papers citing papers by A. Gacsádi
This network shows the impact of papers produced by A. Gacsádi. 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 A. Gacsádi. The network helps show where A. Gacsádi may publish in the future.
Co-authorship network of co-authors of A. Gacsádi
This figure shows the co-authorship network connecting the top 25 collaborators of A. Gacsádi. A scholar is included among the top collaborators of A. Gacsádi 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 A. Gacsádi. A. Gacsádi is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 15 | |
| 2 | Noise suppression methods for low quality images with application to face recognition | 2 |
| 3 | CNN processing techniques for image-based path planning of a mobile robot | 3 |
| 4 | Energy based medical imaging segmentation methods by using cellular neural networks | 0 |
| 5 | 4 | |
| 6 | Design of safe PLC programs by using Petri nets and formal methods | 2 |
| 7 | Plenary lecture 1: variational based image inpainting methods by using cellular neural networks | 1 |
| 8 | Vision based approaches for driver assistance systems | 2 |
| 9 | 74 | |
| 10 | 1 | |
| 11 | Non-negative Dimensionality Reduction for Mammogram Classification | 1 |
| 12 | Mobile robot navigation based on CNN images processing: an experimental setup | 2 |
| 13 | Arterial elasticity maps obtained by using basic block-matching methods | 1 |
| 14 | Variational based image enhancement method by using cellular neural networks | 0 |
| 15 | Obstacles Avoidance Method for an Autonomous Mobile Robot using Two IR Sensors | 1 |
| 16 | Wall-following method for an autonomous mobile robot using two IR sensors | 6 |
| 17 | Image-based visual servo control of a robotic arm by using cellular neural networks | 2 |
| 18 | 12 | |
| 19 | 11 | |
| 20 | Interpolation of 2D signals using CNN | 6 |
About A. Gacsádi
A. Gacsádi is a scholar working on Computer Networks and Communications, Computer Vision and Pattern Recognition and Artificial Intelligence, having authored 42 papers that have together received 285 indexed citations. Recurring topics across this work include Neural Networks and Applications (23 papers), Neural Networks Stability and Synchronization (22 papers) and Image and Signal Denoising Methods (7 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (144 citations), Human-Computer Interaction (25 citations) and Artificial Intelligence (135 citations). A. Gacsádi has collaborated with scholars based in Romania, Hungary and Pakistan. Frequent co-authors include Ioan Buciu, Péter Szolgay, P. Szolgay, Cătălin Daniel Căleanu, Joos Vandewalle and Zoltán Nagy. Their work appears in journals such as SHILAP Revista de lepidopterología, Biomedical Signal Processing and Control and International Journal of Computers Communications & Control.
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.