Steve Kroon

518 total citations
19 papers, 285 citations indexed

About

Steve Kroon is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Statistical and Nonlinear Physics. According to data from OpenAlex, Steve Kroon has authored 19 papers receiving a total of 285 indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Artificial Intelligence, 4 papers in Computer Vision and Pattern Recognition and 3 papers in Statistical and Nonlinear Physics. Recurrent topics in Steve Kroon's work include Bayesian Methods and Mixture Models (2 papers), Sports Analytics and Performance (2 papers) and Artificial Intelligence in Games (2 papers). Steve Kroon is often cited by papers focused on Bayesian Methods and Mixture Models (2 papers), Sports Analytics and Performance (2 papers) and Artificial Intelligence in Games (2 papers). Steve Kroon collaborates with scholars based in South Africa, United Kingdom and Fiji. Steve Kroon's co-authors include Lidia Auret, John T. McCoy, H. C. Eggers, Elena Sellentin, Alan Heavens, Y. Fantaye, Sunil Pati, Zdeněk Novák, Cecelia Hutto and Suresh B. Boppana and has published in prestigious journals such as Physical Review Letters, Clinical Infectious Diseases and Pattern Recognition Letters.

In The Last Decade

Steve Kroon

17 papers receiving 276 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Steve Kroon South Africa 6 104 78 75 48 42 19 285
Farhad Ali Pakistan 10 177 1.7× 10 0.1× 157 2.1× 26 0.5× 10 0.2× 46 391
A. Najmi United States 8 60 0.6× 86 1.1× 10 0.1× 2 0.0× 32 0.8× 10 330
Vinicius Albani Brazil 10 17 0.2× 14 0.2× 6 0.1× 31 0.6× 25 0.6× 31 227
Phillip D. Stroud United States 8 3 0.0× 71 0.9× 41 0.5× 19 0.4× 44 1.0× 21 274
J. Castle United States 7 62 0.6× 67 0.9× 16 0.2× 8 0.2× 21 193
Matthew J. Miller United States 12 70 0.7× 19 0.2× 24 0.3× 9 0.2× 22 586
Markus Mayr Austria 9 8 0.1× 12 0.2× 3 0.0× 106 2.2× 16 0.4× 11 330
A. Wagner Germany 12 6 0.1× 6 0.1× 216 2.9× 18 0.4× 18 0.4× 46 370
Antoni Artigues Spain 10 33 0.3× 4 0.1× 6 0.1× 37 0.8× 31 0.7× 23 319
Sergey Yakovlev Ukraine 9 9 0.1× 17 0.2× 6 0.1× 4 0.1× 9 0.2× 15 301

Countries citing papers authored by Steve Kroon

Since Specialization
Citations

This map shows the geographic impact of Steve Kroon'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 Steve Kroon with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Steve Kroon more than expected).

Fields of papers citing papers by Steve Kroon

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Steve Kroon. 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 Steve Kroon. The network helps show where Steve Kroon may publish in the future.

Co-authorship network of co-authors of Steve Kroon

This figure shows the co-authorship network connecting the top 25 collaborators of Steve Kroon. A scholar is included among the top collaborators of Steve Kroon 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 Steve Kroon. Steve Kroon is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

19 of 19 papers shown
1.
Kamper, Herman, et al.. (2020). On the expected behaviour of noise regularised deep neural networks as Gaussian processes. Pattern Recognition Letters. 138. 75–81. 4 indexed citations
2.
Cameron, Scott, H. C. Eggers, & Steve Kroon. (2019). Stochastic Gradient Annealed Importance Sampling for Efficient Online Marginal Likelihood Estimation. Entropy. 21(11). 1109–1109. 1 indexed citations
3.
Kroon, Steve, et al.. (2019). A Coordinated Search Strategy for Solitary Robots. 433–434. 1 indexed citations
4.
Cameron, Scott, H. C. Eggers, & Steve Kroon. (2019). A Sequential Marginal Likelihood Approximation Using Stochastic Gradients. 18–18. 1 indexed citations
5.
Kroon, Steve, et al.. (2018). Critical initialisation for deep signal propagation in noisy rectifier neural networks. arXiv (Cornell University). 31. 5717–5726. 2 indexed citations
6.
McCoy, John T., Steve Kroon, & Lidia Auret. (2018). Variational Autoencoders for Missing Data Imputation with Application to a Simulated Milling Circuit. IFAC-PapersOnLine. 51(21). 141–146. 80 indexed citations
7.
Heavens, Alan, et al.. (2017). No Evidence for Extensions to the Standard Cosmological Model. Physical Review Letters. 119(10). 101301–101301. 111 indexed citations
8.
Bekker, James, et al.. (2017). New reinforcement learning algorithm for robot soccer. SUNScholar (Stellenbosch University). 33(1). 1–1. 3 indexed citations
9.
Kroon, Steve, et al.. (2016). DSaaS. 37–48. 1 indexed citations
10.
Kroon, Steve, et al.. (2016). Unsupervised pre-training for fully convolutional neural networks. SUNScholar (Stellenbosch University). 27. 1–6. 6 indexed citations
11.
Kroon, Steve, et al.. (2015). N-Gram Representations For Comment Filtering. TU/e Research Portal. 1–10. 1 indexed citations
12.
Kroon, Steve, et al.. (2014). Birth Prevalence of Congenital Cytomegalovirus Among Infants of HIV-Infected Women on Prenatal Antiretroviral Prophylaxis in South Africa. Clinical Infectious Diseases. 58(10). 1467–1472. 47 indexed citations
13.
Waal, Reneé de, Steve Kroon, Alan R. Horn, et al.. (2014). Nevirapine Concentrations in Preterm and Low Birth Weight HIV-Exposed Infants. The Pediatric Infectious Disease Journal. 33(12). 1231–1233. 15 indexed citations
14.
Kroon, Steve, et al.. (2014). Sample Evaluation for Action Selection in Monte Carlo Tree Search. SUNScholar (Stellenbosch University). 314–322. 2 indexed citations
15.
Fici, Gabriele, et al.. (2013). Binary jumbled string matching for highly run-length compressible texts. Information Processing Letters. 113(17). 604–608. 6 indexed citations
16.
Kroon, Steve, et al.. (2012). Unsupervised Construction of Topic-Based Twitter Lists. 11. 283–292. 1 indexed citations
17.
Fici, Gabriele, et al.. (2012). Binary Jumbled String Matching: Faster Indexing in Less Space. 2 indexed citations
18.
Kroon, Steve, et al.. (2012). Monte-Carlo tree search parallelisation for computer go. 129–138. 1 indexed citations
19.
Kroon, Steve & Christian W. Omlin. (2004). Getting to grips with support vector machines : application : general. 38(2). 159–172.

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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