Paul Gorday
- Computer Networks and Communications top 5%
- Electrical and Electronic Engineering
- Biomedical Engineering
- Computer Vision and Pattern Recognition
- Control and Systems Engineering
- Co-authors
- Edgar H. CallawayJ.A. GutiérrezVictor BahlN.S. CorrealSpyros KyperountasNurgün ErdölHanqi ZhuangR.J. O'Dea
- Topics
- Power Line Communications and Noise (5 papers)Cognitive Radio Networks and Spectrum Sensing (4 papers)Radio Frequency Integrated Circuit Design (3 papers)
- Cited by
- Computer Networks and CommunicationsElectrical and Electronic EngineeringComputer Vision and Pattern Recognition
- Journals
- IEEE Communications MagazineIEEE Open Journal of the Communications SocietyIEEE Circuits and Devices Magazine
- Partner nations
- United StatesRussiaTaiwan
In The Last Decade
Paul Gorday
13 papers receiving 367 citations
Peers
Comparison fields: 5 of 47
- Computer Networks and Communications 322
- Electrical and Electronic Engineering 240
- Biomedical Engineering 50
- Computer Vision and Pattern Recognition 36
- Control and Systems Engineering 32
Countries citing papers authored by Paul Gorday
This map shows the geographic impact of Paul Gorday'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 Paul Gorday with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Paul Gorday more than expected).
Fields of papers citing papers by Paul Gorday
This network shows the impact of papers produced by Paul Gorday. 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 Paul Gorday. The network helps show where Paul Gorday may publish in the future.
Co-authorship network of co-authors of Paul Gorday
This figure shows the co-authorship network connecting the top 25 collaborators of Paul Gorday. A scholar is included among the top collaborators of Paul Gorday 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 Paul Gorday. Paul Gorday is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 4 | |
| 2 | 5 | |
| 3 | 1 | |
| 4 | 1 | |
| 5 | 2 | |
| 6 | Early Opportunities for Commercialization of TV Whitespace in the U.S. (invited paper) | 1 |
| 7 | 5 | |
| 8 | 29 | |
| 9 | 6 | |
| 10 | 2 | |
| 11 | 3 | |
| 12 | 2 | |
| 13 | 347 |
About Paul Gorday
Paul Gorday is a scholar working on Computer Networks and Communications, Electrical and Electronic Engineering and Artificial Intelligence, having authored 13 papers that have together received 408 indexed citations. Recurring topics across this work include Power Line Communications and Noise (5 papers), Cognitive Radio Networks and Spectrum Sensing (4 papers) and Radio Frequency Integrated Circuit Design (3 papers). The work is most often cited by research in Computer Networks and Communications (322 citations), Electrical and Electronic Engineering (240 citations) and Computer Vision and Pattern Recognition (36 citations). Paul Gorday has collaborated with scholars based in United States, Russia and Taiwan. Frequent co-authors include Edgar H. Callaway, J.A. Gutiérrez, Victor Bahl, N.S. Correal, Spyros Kyperountas, Nurgün Erdöl, Hanqi Zhuang, R.J. O'Dea, Randy L. Ekl and Changqing Cao. Their work appears in journals such as IEEE Communications Magazine, IEEE Open Journal of the Communications Society and IEEE Circuits and Devices Magazine.
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.