Charl van Heerden
- Artificial Intelligence top 10%
- Signal Processing top 5%
- Information Systems top 10%
- Computer Vision and Pattern Recognition
- Experimental and Cognitive Psychology
- Co-authors
- Etienne BarnardMarelie H. DavelJohan SchalkwykChristian MüllerMichael S. FeldRichard SchwartzDamianos KarakosPedro J. Moreno
- Topics
- Speech and dialogue systems (12 papers)Speech Recognition and Synthesis (12 papers)Natural Language Processing Techniques (8 papers)
- Partner nations
- South AfricaUnited StatesIndia
In The Last Decade
Charl van Heerden
23 papers receiving 199 citations
Peers
Comparison fields: 5 of 36
- Artificial Intelligence 200
- Signal Processing 110
- Information Systems 55
- Computer Vision and Pattern Recognition 22
- Experimental and Cognitive Psychology 13
Countries citing papers authored by Charl van Heerden
This map shows the geographic impact of Charl van Heerden'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 Charl van Heerden with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Charl van Heerden more than expected).
Fields of papers citing papers by Charl van Heerden
This network shows the impact of papers produced by Charl van Heerden. 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 Charl van Heerden. The network helps show where Charl van Heerden may publish in the future.
Co-authorship network of co-authors of Charl van Heerden
This figure shows the co-authorship network connecting the top 25 collaborators of Charl van Heerden. A scholar is included among the top collaborators of Charl van Heerden 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 Charl van Heerden. Charl van Heerden is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 1 | |
| 3 | 1 | |
| 4 | 17 | |
| 5 | 13 | |
| 6 | 5 | |
| 7 | 2 | |
| 8 | 15 | |
| 9 | Lwazi II Final Report: Increasing the impact of speech technologies in South Africa | 5 |
| 10 | Processing spoken lectures in resource-scarce environments | 2 |
| 11 | 23 | |
| 12 | 14 | |
| 13 | 28 | |
| 14 | 18 | |
| 15 | Combining multiple classifiers for age classification | 2 |
| 16 | 8 | |
| 17 | 5 | |
| 18 | 19 | |
| 19 | 47 | |
| 20 | 10 |
About Charl van Heerden
Charl van Heerden is a scholar working on Artificial Intelligence, Signal Processing and Information Systems, having authored 23 papers that have together received 246 indexed citations. Recurring topics across this work include Speech and dialogue systems (12 papers), Speech Recognition and Synthesis (12 papers) and Natural Language Processing Techniques (8 papers). The work is most often cited by research in Signal Processing (110 citations), Artificial Intelligence (200 citations) and Information Systems (55 citations). Charl van Heerden has collaborated with scholars based in South Africa, United States and India. Frequent co-authors include Etienne Barnard, Marelie H. Davel, Johan Schalkwyk, Christian Müller, Michael S. Feld, Richard Schwartz, Damianos Karakos, Pedro J. Moreno, Ewald van Dyk and Daniel van Niekerk. Their work appears in journals such as Speech Communication, Language Resources and Evaluation and Terapevticheskii arkhiv.
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.