Alta de Waal
- Artificial Intelligence top 5%
- Information Systems top 10%
- Signal Processing
- Management Science and Operations Research
- Transportation top 10%
- Co-authors
- Etienne BarnardJohan W. JoubertJ. P. de VilliersMarelie H. DavelFebe de WetTom RitcheyGregor PavlinDeon Cilliers
- Topics
- Bayesian Modeling and Causal Inference (12 papers)ICT in Developing Communities (4 papers)Topic Modeling (4 papers)
- Journals
- SHILAP Revista de lepidopterologíaExpert Systems with ApplicationsJournal of the Operational Research Society
- Partner nations
- South AfricaNetherlandsUnited States
In The Last Decade
Alta de Waal
33 papers receiving 366 citations
Peers
Comparison fields: 5 of 98
- Artificial Intelligence 222
- Information Systems 49
- Signal Processing 42
- Management Science and Operations Research 36
- Transportation 34
Countries citing papers authored by Alta de Waal
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).
Fields of papers citing papers by Alta de Waal
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.
Co-authorship network of co-authors of Alta de Waal
This figure shows the co-authorship network connecting the top 25 collaborators of Alta de Waal. A scholar is included among the top collaborators of Alta de Waal 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 Alta de Waal. Alta de Waal 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 | 13 | |
| 4 | 9 | |
| 5 | 29 | |
| 6 | 4 | |
| 7 | 2 | |
| 8 | 6 | |
| 9 | 4 | |
| 10 | Validation & verification of a Bayesian network model for aircraft vulnerability | 6 |
| 11 | Uncertainty representation, quantification and evaluation for data and information fusion | 21 |
| 12 | A framework for inferring predictive distributions of rhino poaching events through causal modelling | 12 |
| 13 | 5 | |
| 14 | The validation of an infrared simulation system | 1 |
| 15 | Quality measurements for mobile data collection in the developing world. | 5 |
| 16 | 8 | |
| 17 | Morphological analysis: a method for selecting ICT applications in South African government service delivery | 7 |
| 18 | 56 | |
| 19 | 3 | |
| 20 | 1 |
About Alta de Waal
Alta de Waal is a scholar working on Artificial Intelligence, Ecological Modeling and Statistics, Probability and Uncertainty, having authored 34 papers that have together received 407 indexed citations. Recurring topics across this work include Bayesian Modeling and Causal Inference (12 papers), ICT in Developing Communities (4 papers) and Topic Modeling (4 papers). The work is most often cited by research in Artificial Intelligence (222 citations), Transportation (34 citations) and General Social Sciences (14 citations). Alta de Waal has collaborated with scholars based in South Africa, Netherlands and United States. Frequent co-authors include Etienne Barnard, Johan W. Joubert, J. P. de Villiers, Marelie H. Davel, Febe de Wet, Tom Ritchey, Gregor Pavlin, Deon Cilliers, Lorraine K. Boast and Kerrie Mengersen. Their work appears in journals such as SHILAP Revista de lepidopterología, Expert Systems with Applications and Journal of the Operational Research Society.
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.