Johan A. du Preez
- Artificial Intelligence top 2%
- Signal Processing top 2%
- Computer Vision and Pattern Recognition top 5%
- Media Technology top 5%
- Information Systems
- Co-authors
- Niko BrümmerB. M. HerbstDavid M. WeberWillem H. SteynJohan BurgerD. E. GoszczynskiL. C. SchwardtJustus C. Roux
- Topics
- Speech Recognition and Synthesis (23 papers)Speech and Audio Processing (14 papers)Natural Language Processing Techniques (11 papers)
- Journals
- SHILAP Revista de lepidopterologíaIEEE Transactions on Pattern Analysis and Machine IntelligenceIEEE Access
- Partner nations
- South AfricaBelgiumGermany
In The Last Decade
Johan A. du Preez
43 papers receiving 740 citations
Hit Papers
Peers
Comparison fields: 5 of 96
- Artificial Intelligence 480
- Signal Processing 347
- Computer Vision and Pattern Recognition 275
- Media Technology 62
- Information Systems 44
Countries citing papers authored by Johan A. du Preez
This map shows the geographic impact of Johan A. du Preez'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 Johan A. du Preez with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Johan A. du Preez more than expected).
Fields of papers citing papers by Johan A. du Preez
This network shows the impact of papers produced by Johan A. du Preez. 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 Johan A. du Preez. The network helps show where Johan A. du Preez may publish in the future.
Co-authorship network of co-authors of Johan A. du Preez
This figure shows the co-authorship network connecting the top 25 collaborators of Johan A. du Preez. A scholar is included among the top collaborators of Johan A. du Preez 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 Johan A. du Preez. Johan A. du Preez is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 11 | |
| 2 | 1 | |
| 3 | 1 | |
| 4 | 1 | |
| 5 | 5 | |
| 6 | 11 | |
| 7 | Regularized Gaussian Belief Propagation with Nodes of Arbitrary Size | 0 |
| 8 | On the Convergence of Gaussian Belief Propagation with Nodes of Arbitrary Size | 0 |
| 9 | 13 | |
| 10 | 22 | |
| 11 | 6 | |
| 12 | Off-line signature verification: A comparison between human and machine performance | 17 |
| 13 | 31 | |
| 14 | 10 | |
| 15 | 0 | |
| 16 | 0 | |
| 17 | 0 | |
| 18 | 4 | |
| 19 | Developing a Multilingual Telephone Based Information System in African Languages. | 11 |
| 20 | 10 |
About Johan A. du Preez
Johan A. du Preez is a scholar working on Signal Processing, Artificial Intelligence and Computer Vision and Pattern Recognition, having authored 52 papers that have together received 827 indexed citations. Recurring topics across this work include Speech Recognition and Synthesis (23 papers), Speech and Audio Processing (14 papers) and Natural Language Processing Techniques (11 papers). The work is most often cited by research in Signal Processing (347 citations), Artificial Intelligence (480 citations) and Computer Vision and Pattern Recognition (275 citations). Johan A. du Preez has collaborated with scholars based in South Africa, Belgium and Germany. Frequent co-authors include Niko Brümmer, B. M. Herbst, David M. Weber, Willem H. Steyn, Johan Burger, D. E. Goszczynski, L. C. Schwardt, Justus C. Roux, Elizabeth C. Botha and Dominique Schreurs. Their work appears in journals such as SHILAP Revista de lepidopterología, IEEE Transactions on Pattern Analysis and Machine Intelligence and IEEE Access.
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.