Jan Bajcsy
- Electrical and Electronic Engineering top 10%
- Computer Networks and Communications top 5%
- Artificial Intelligence top 10%
- Computer Vision and Pattern Recognition top 10%
- Computational Theory and Mathematics top 10%
- Co-authors
- Patrick MitranRaymond YimLawrence R. ChenDavid VargasFady AlajajiDavid Gómez‐BarqueroHiroshi KobayashiNarcís Cardona
- Topics
- Advanced Wireless Communication Techniques (36 papers)Wireless Communication Networks Research (21 papers)PAPR reduction in OFDM (14 papers)
- Cited by
- Computer Networks and CommunicationsElectrical and Electronic EngineeringArtificial Intelligence
- Journals
- IEEE Journal on Selected Areas in CommunicationsIEEE Transactions on CommunicationsElectronics Letters
- Partner nations
- CanadaUnited StatesSpain
In The Last Decade
Jan Bajcsy
45 papers receiving 601 citations
Peers
Comparison fields: 5 of 26
- Electrical and Electronic Engineering 592
- Computer Networks and Communications 305
- Artificial Intelligence 190
- Computer Vision and Pattern Recognition 60
- Computational Theory and Mathematics 43
Countries citing papers authored by Jan Bajcsy
This map shows the geographic impact of Jan Bajcsy'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 Jan Bajcsy with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jan Bajcsy more than expected).
Fields of papers citing papers by Jan Bajcsy
This network shows the impact of papers produced by Jan Bajcsy. 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 Jan Bajcsy. The network helps show where Jan Bajcsy may publish in the future.
Co-authorship network of co-authors of Jan Bajcsy
This figure shows the co-authorship network connecting the top 25 collaborators of Jan Bajcsy. A scholar is included among the top collaborators of Jan Bajcsy 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 Jan Bajcsy. Jan Bajcsy 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 | 28 | |
| 3 | 7 | |
| 4 | 1 | |
| 5 | 0 | |
| 6 | 6 | |
| 7 | 7 | |
| 8 | 3 | |
| 9 | 1 | |
| 10 | 1 | |
| 11 | 1 | |
| 12 | 2 | |
| 13 | Using Turbo Codes and Non-Gaussian Interference to Improve Spectral Efficiency in M-ary Optical CDMA Networks | 5 |
| 14 | 1 | |
| 15 | 1 | |
| 16 | 4 | |
| 17 | 14 | |
| 18 | 35 | |
| 19 | 4 | |
| 20 | 2 |
About Jan Bajcsy
Jan Bajcsy is a scholar working on Computer Networks and Communications, Electrical and Electronic Engineering and Artificial Intelligence, having authored 48 papers that have together received 629 indexed citations. Recurring topics across this work include Advanced Wireless Communication Techniques (36 papers), Wireless Communication Networks Research (21 papers) and PAPR reduction in OFDM (14 papers). The work is most often cited by research in Computer Networks and Communications (305 citations), Electrical and Electronic Engineering (592 citations) and Artificial Intelligence (190 citations). Jan Bajcsy has collaborated with scholars based in Canada, United States and Spain. Frequent co-authors include Patrick Mitran, Raymond Yim, Lawrence R. Chen, David Vargas, Fady Alajaji, David Gómez‐Barquero, Hiroshi Kobayashi and Narcís Cardona. Their work appears in journals such as IEEE Journal on Selected Areas in Communications, IEEE Transactions on Communications and Electronics Letters.
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.