Charl van Heerden

About

Charl van Heerden is a scholar working on Artificial Intelligence, Information Systems and Signal Processing. According to data from OpenAlex, Charl van Heerden has authored 17 papers receiving a total of 157 indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Artificial Intelligence, 6 papers in Information Systems and 5 papers in Signal Processing. Recurrent topics in Charl van Heerden’s work include Speech Recognition and Synthesis (10 papers), Speech and dialogue systems (9 papers) and Natural Language Processing Techniques (7 papers). Charl van Heerden is often cited by papers focused on Speech Recognition and Synthesis (10 papers), Speech and dialogue systems (9 papers) and Natural Language Processing Techniques (7 papers). Charl van Heerden collaborates with scholars based in South Africa, United States and India. Charl van Heerden's co-authors include Marelie H. Davel, Etienne Barnard, Johan Schalkwyk, Damianos Karakos, Christian Müller, Ewald van Dyk, Richard Schwartz, Michael S. Feld, Javier Tejedor and Xavier Anguera and has published in prestigious journals such as Speech Communication, Language Resources and Evaluation and Interspeech 2022.

In The Last Decade

Co-authorship network of co-authors of Charl van Heerden i

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Fields of papers citing papers by Charl van Heerden

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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.

Countries citing papers authored by Charl van Heerden

Since Specialization

Citations

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).

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.

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