Alta de Waal

About

Alta de Waal is a scholar working on Artificial Intelligence, Information Systems and Aerospace Engineering. According to data from OpenAlex, Alta de Waal has authored 21 papers receiving a total of 210 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Artificial Intelligence, 3 papers in Information Systems and 2 papers in Aerospace Engineering. Recurrent topics in Alta de Waal’s work include Bayesian Modeling and Causal Inference (6 papers), Bayesian Methods and Mixture Models (3 papers) and ICT in Developing Communities (3 papers). Alta de Waal is often cited by papers focused on Bayesian Modeling and Causal Inference (6 papers), Bayesian Methods and Mixture Models (3 papers) and ICT in Developing Communities (3 papers). Alta de Waal collaborates with scholars based in South Africa, Australia and India. Alta de Waal's co-authors include Johan W. Joubert, Tom Ritchey, Lorraine K. Boast, Sandra Johnson, Febe de Wet, Marelie H. Davel, Deon Cilliers, Kelly Marnewick, Kerrie Mengersen and Etienne Barnard and has published in prestigious journals such as Expert Systems with Applications, Journal of the Operational Research Society and Ecological Modelling.

In The Last Decade

Co-authorship network of co-authors of Alta de Waal i

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Fields of papers citing papers by Alta de Waal

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Alta de Waal. 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 Alta de Waal. The network helps show where Alta de Waal may publish in the future.

Countries citing papers authored by Alta de Waal

Since Specialization

Citations

This map shows the geographic impact of Alta de Waal'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 Alta de Waal with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Alta de Waal 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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