Johann A. Briffa
- Artificial Intelligence top 10%
- Computer Vision and Pattern Recognition top 10%
- Computer Networks and Communications top 10%
- Computational Theory and Mathematics top 10%
- Media Technology top 10%
- Co-authors
- Yaochu JinHans Georg SchaathunTim BrownAinuddin Wahid Abdul WahabGianluca ValentinoReuben A. FarrugiaMang ChenJakub Nalepa
- Topics
- Advanced Steganography and Watermarking Techniques (6 papers)Cellular Automata and Applications (6 papers)Algorithms and Data Compression (6 papers)
- Cited by
- Media TechnologyComputer Vision and Pattern RecognitionComputer Networks and Communications
- Partner nations
- MaltaUnited KingdomChina
In The Last Decade
Johann A. Briffa
33 papers receiving 260 citations
Peers
Comparison fields: 5 of 56
- Artificial Intelligence 97
- Computer Vision and Pattern Recognition 77
- Computer Networks and Communications 77
- Computational Theory and Mathematics 49
- Media Technology 47
Countries citing papers authored by Johann A. Briffa
This map shows the geographic impact of Johann A. Briffa'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 Johann A. Briffa with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Johann A. Briffa more than expected).
Fields of papers citing papers by Johann A. Briffa
This network shows the impact of papers produced by Johann A. Briffa. 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 Johann A. Briffa. The network helps show where Johann A. Briffa may publish in the future.
Co-authorship network of co-authors of Johann A. Briffa
This figure shows the co-authorship network connecting the top 25 collaborators of Johann A. Briffa. A scholar is included among the top collaborators of Johann A. Briffa 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 Johann A. Briffa. Johann A. Briffa is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 0 | |
| 3 | 0 | |
| 4 | 3 | |
| 5 | 2 | |
| 6 | 5 | |
| 7 | 0 | |
| 8 | 1 | |
| 9 | 3 | |
| 10 | 27 | |
| 11 | 1 | |
| 12 | 58 | |
| 13 | Evaluating the eavesdropping range of varying magnetic field strengths in NFC standards | 12 |
| 14 | 9 | |
| 15 | 12 | |
| 16 | 4 | |
| 17 | 2 | |
| 18 | 2 | |
| 19 | 1 | |
| 20 | 3 |
About Johann A. Briffa
Johann A. Briffa is a scholar working on Computer Vision and Pattern Recognition, Media Technology and Computer Networks and Communications, having authored 38 papers that have together received 269 indexed citations. Recurring topics across this work include Advanced Steganography and Watermarking Techniques (6 papers), Cellular Automata and Applications (6 papers) and Algorithms and Data Compression (6 papers). The work is most often cited by research in Media Technology (47 citations), Computer Vision and Pattern Recognition (77 citations) and Computer Networks and Communications (77 citations). Johann A. Briffa has collaborated with scholars based in Malta, United Kingdom and China. Frequent co-authors include Yaochu Jin, Hans Georg Schaathun, Tim Brown, Ainuddin Wahid Abdul Wahab, Gianluca Valentino, Reuben A. Farrugia, Mang Chen, Jakub Nalepa, Michał Kawulok and Steve Schneider. Their work appears in journals such as PLoS ONE, IEEE Transactions on Geoscience and Remote Sensing and IEEE Transactions on Cybernetics.
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.