Alta de Waal

640 total citations
34 papers, 407 citations indexed

About

Alta de Waal is a scholar working on Artificial Intelligence, Information Systems and Computer Networks and Communications. According to data from OpenAlex, Alta de Waal has authored 34 papers receiving a total of 407 indexed citations (citations by other indexed papers that have themselves been cited), including 22 papers in Artificial Intelligence, 4 papers in Information Systems and 3 papers in Computer Networks and Communications. Recurrent topics in Alta de Waal's work include Bayesian Modeling and Causal Inference (12 papers), ICT in Developing Communities (4 papers) and Topic Modeling (4 papers). Alta de Waal is often cited by papers focused on Bayesian Modeling and Causal Inference (12 papers), ICT in Developing Communities (4 papers) and Topic Modeling (4 papers). Alta de Waal collaborates with scholars based in South Africa, Netherlands and United States. Alta de Waal's co-authors include Etienne Barnard, Johan W. Joubert, J. P. de Villiers, Marelie H. Davel, Febe de Wet, Tom Ritchey, Gregor Pavlin, Kelly Marnewick, Deon Cilliers and Lorraine K. Boast and has published in prestigious journals such as SHILAP Revista de lepidopterología, Expert Systems with Applications and Journal of the Operational Research Society.

In The Last Decade

Alta de Waal

33 papers receiving 366 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Alta de Waal South Africa 12 222 49 42 36 34 34 407
Thanuka L. Wickramarathne United States 9 124 0.6× 17 0.3× 28 0.7× 28 0.8× 14 0.4× 32 314
Ángel Cobo Spain 15 139 0.6× 33 0.7× 22 0.5× 31 0.9× 24 0.7× 39 512
S. Sarasvady India 4 125 0.6× 38 0.8× 37 0.9× 11 0.3× 28 0.8× 4 394
Haifeng Zhao China 15 142 0.6× 43 0.9× 15 0.4× 13 0.4× 51 1.5× 56 489
Bratislav Predić Serbia 13 83 0.4× 61 1.2× 88 2.1× 47 1.3× 29 0.9× 45 553
Yi Ouyang China 13 104 0.5× 117 2.4× 21 0.5× 21 0.6× 55 1.6× 57 447
George M. Coghill United Kingdom 13 222 1.0× 14 0.3× 19 0.5× 30 0.8× 23 0.7× 74 601
Isaac Brewer United States 12 172 0.8× 63 1.3× 118 2.8× 19 0.5× 63 1.9× 20 705
Rui Máximo Esteves Norway 8 135 0.6× 95 1.9× 36 0.9× 15 0.4× 9 0.3× 9 407
Adam Kiersztyn Poland 13 214 1.0× 26 0.5× 81 1.9× 53 1.5× 6 0.2× 48 520

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).

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.

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

20 of 20 papers shown
1.
Waal, Alta de, et al.. (2024). Feature engineered embeddings for classification of molecular data. Computational Biology and Chemistry. 110. 108056–108056. 1 indexed citations
2.
Waal, Alta de, et al.. (2022). Modelling Bimodal Data Using a Multivariate Triangular-Linked Distribution. Mathematics. 10(14). 2370–2370. 1 indexed citations
3.
Waal, Alta de & Johan W. Joubert. (2022). Explainable Bayesian networks applied to transport vulnerability. Expert Systems with Applications. 209. 118348–118348. 13 indexed citations
4.
Joubert, Johan W. & Alta de Waal. (2020). Activity-based travel demand generation using Bayesian networks. Transportation Research Part C Emerging Technologies. 120. 102804–102804. 29 indexed citations
5.
Waal, Alta de, Alex M. Lechner, Corinne Unger, et al.. (2019). Quantifying rehabilitation risks for surface-strip coal mines using a soil compaction Bayesian network in South Africa and Australia: To demonstrate the R2AIN Framework. Integrated Environmental Assessment and Management. 15(2). 190–208. 4 indexed citations
6.
Blasch, Erik, Carlos C. Insaurralde, Paulo Costa, Alta de Waal, & J. P. de Villiers. (2019). Uncertainty Ontology for Veracity and Relevance. 1–8. 6 indexed citations
7.
Pavlin, Gregor, Anne-Laure Jousselme, J. P. de Villiers, et al.. (2019). Online System Evaluation and Learning of Data Source Models: a Probabilistic Generative Approach. 1–10. 2 indexed citations
8.
Waal, Alta de, et al.. (2018). Latent Variable Bayesian Networks Constructed Using Structural Equation Modelling. 688–695. 4 indexed citations
9.
Villiers, J. P. de, et al.. (2017). An expert-driven causal model of the rhino poaching problem. Ecological Modelling. 347. 29–39. 16 indexed citations
10.
Waal, Alta de, et al.. (2016). Validation & verification of a Bayesian network model for aircraft vulnerability. 6 indexed citations
11.
Villiers, J. P. de, Kathryn Blackmond Laskey, Anne-Laure Jousselme, et al.. (2015). Uncertainty representation, quantification and evaluation for data and information fusion. 50–57. 21 indexed citations
12.
Villiers, J. P. de, et al.. (2014). A framework for inferring predictive distributions of rhino poaching events through causal modelling. International Conference on Information Fusion. 1–7. 12 indexed citations
13.
Waal, Alta de, et al.. (2014). Aircraft vulnerability analysis by modeling and simulation. Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE. 9251. 92510M–92510M. 5 indexed citations
14.
Waal, Alta de, et al.. (2013). The validation of an infrared simulation system. 1 indexed citations
15.
Waal, Alta de, et al.. (2012). Quality measurements for mobile data collection in the developing world.. 139–145. 5 indexed citations
16.
Waal, Alta de, et al.. (2012). Pyradi: an open-source toolkit for infrared calculation and data processing. Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE. 8543. 85430J–85430J. 2 indexed citations
17.
Wet, Febe de, et al.. (2011). Developing a broadband automatic speech recognition system for Afrikaans. 3185–3188. 8 indexed citations
18.
Plauché, Madelaine, et al.. (2010). Morphological analysis: a method for selecting ICT applications in South African government service delivery. Information Technologies and International Development. 6(1). 1–20. 7 indexed citations
19.
Johnson, Sandra, Kerrie Mengersen, Alta de Waal, et al.. (2009). Modelling cheetah relocation success in southern Africa using an Iterative Bayesian Network Development Cycle. Ecological Modelling. 221(4). 641–651. 56 indexed citations
20.
Waal, Alta de, et al.. (2004). Late-magmatic calcite-pyrrhotite-chalcopyrite mineralisation associated with magmatically-evolved diorite, Marble Hall, South Africa. South African Journal of Geology. 107(4). 545–558. 1 indexed citations

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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