Filip Ponulak
- Electrical and Electronic Engineering top 10%
- Cognitive Neuroscience top 10%
- Artificial Intelligence top 10%
- Cellular and Molecular Neuroscience
- Control and Systems Engineering
- Co-authors
- Andrzej KasińskiJ. J. HopfieldMarek Kraft
- Topics
- Neural dynamics and brain function (5 papers)Advanced Memory and Neural Computing (5 papers)Neural Networks and Applications (3 papers)
- Journals
- Frontiers in Computational NeuroscienceActa Neurobiologiae ExperimentalisInternational Journal of Applied Mathematics and Computer Science
- Partner nations
- PolandUnited States
In The Last Decade
Filip Ponulak
7 papers receiving 392 citations
Peers
Comparison fields: 5 of 56
- Electrical and Electronic Engineering 316
- Cognitive Neuroscience 234
- Artificial Intelligence 172
- Cellular and Molecular Neuroscience 93
- Control and Systems Engineering 39
Countries citing papers authored by Filip Ponulak
This map shows the geographic impact of Filip Ponulak'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 Filip Ponulak with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Filip Ponulak more than expected).
Fields of papers citing papers by Filip Ponulak
This network shows the impact of papers produced by Filip Ponulak. 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 Filip Ponulak. The network helps show where Filip Ponulak may publish in the future.
Co-authorship network of co-authors of Filip Ponulak
This figure shows the co-authorship network connecting the top 25 collaborators of Filip Ponulak. A scholar is included among the top collaborators of Filip Ponulak 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 Filip Ponulak. Filip Ponulak is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 51 | |
| 2 | 248 | |
| 3 | 22 | |
| 4 | Generalization Properties of SNN Trained with ReSuMe | 3 |
| 5 | Comparison of supervised learning methods for spike time coding in spiking neural networks | 87 |
| 6 | Generalization properties of spiking neurons trained with ReSuMe method. | 1 |
| 7 | 2 |
About Filip Ponulak
Filip Ponulak is a scholar working on Cognitive Neuroscience, Artificial Intelligence and Electrical and Electronic Engineering, having authored 7 papers that have together received 414 indexed citations. Recurring topics across this work include Neural dynamics and brain function (5 papers), Advanced Memory and Neural Computing (5 papers) and Neural Networks and Applications (3 papers). The work is most often cited by research in Cognitive Neuroscience (234 citations), Electrical and Electronic Engineering (316 citations) and Artificial Intelligence (172 citations). Filip Ponulak has collaborated with scholars based in Poland and United States. Frequent co-authors include Andrzej Kasiński, J. J. Hopfield and Marek Kraft. Their work appears in journals such as Frontiers in Computational Neuroscience, Acta Neurobiologiae Experimentalis and International Journal of Applied Mathematics and Computer Science.
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.