Mikołaj Jankowski
- Artificial Intelligence top 5%
- Electrical and Electronic Engineering
- Computer Networks and Communications top 10%
- Computer Vision and Pattern Recognition top 10%
- Aerospace Engineering
- Co-authors
- Denız GündüzKrystian MikolajczykTze-Yang TungDavid Burth KurkaMahdi Boloursaz MashhadiMarios KountourisDavid Gesbert
- Topics
- Advanced Data Compression Techniques (4 papers)Speech and Audio Processing (3 papers)Wireless Signal Modulation Classification (2 papers)
- Cited by
- Artificial IntelligenceComputer Networks and CommunicationsComputer Vision and Pattern Recognition
- Partner nations
- United KingdomFrance
In The Last Decade
Mikołaj Jankowski
9 papers receiving 443 citations
Peers
Comparison fields: 5 of 37
- Artificial Intelligence 202
- Electrical and Electronic Engineering 197
- Computer Networks and Communications 104
- Computer Vision and Pattern Recognition 93
- Aerospace Engineering 42
Countries citing papers authored by Mikołaj Jankowski
This map shows the geographic impact of Mikołaj Jankowski'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 Mikołaj Jankowski with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Mikołaj Jankowski more than expected).
Fields of papers citing papers by Mikołaj Jankowski
This network shows the impact of papers produced by Mikołaj Jankowski. 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 Mikołaj Jankowski. The network helps show where Mikołaj Jankowski may publish in the future.
Co-authorship network of co-authors of Mikołaj Jankowski
This figure shows the co-authorship network connecting the top 25 collaborators of Mikołaj Jankowski. A scholar is included among the top collaborators of Mikołaj Jankowski 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 Mikołaj Jankowski. Mikołaj Jankowski is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 3 | |
| 2 | 2 | |
| 3 | 81 | |
| 4 | 51 | |
| 5 | 15 | |
| 6 | 21 | |
| 7 | 49 | |
| 8 | 185 | |
| 9 | 39 |
About Mikołaj Jankowski
Mikołaj Jankowski is a scholar working on Signal Processing, Computer Vision and Pattern Recognition and Computational Mechanics, having authored 9 papers that have together received 446 indexed citations. Recurring topics across this work include Advanced Data Compression Techniques (4 papers), Speech and Audio Processing (3 papers) and Wireless Signal Modulation Classification (2 papers). The work is most often cited by research in Artificial Intelligence (202 citations), Computer Networks and Communications (104 citations) and Computer Vision and Pattern Recognition (93 citations). Mikołaj Jankowski has collaborated with scholars based in United Kingdom and France. Frequent co-authors include Denız Gündüz, Krystian Mikolajczyk, Tze-Yang Tung, David Burth Kurka, Mahdi Boloursaz Mashhadi, Marios Kountouris and David Gesbert. Their work appears in journals such as IEEE Transactions on Wireless Communications, IEEE Transactions on Vehicular Technology and View.
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.