Roni Khardon

2.1k total citations
78 papers, 1.1k citations indexed

About

Roni Khardon is a scholar working on Artificial Intelligence, Computational Theory and Mathematics and Computer Networks and Communications. According to data from OpenAlex, Roni Khardon has authored 78 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 66 papers in Artificial Intelligence, 21 papers in Computational Theory and Mathematics and 9 papers in Computer Networks and Communications. Recurrent topics in Roni Khardon's work include Machine Learning and Algorithms (30 papers), AI-based Problem Solving and Planning (19 papers) and Logic, Reasoning, and Knowledge (18 papers). Roni Khardon is often cited by papers focused on Machine Learning and Algorithms (30 papers), AI-based Problem Solving and Planning (19 papers) and Logic, Reasoning, and Knowledge (18 papers). Roni Khardon collaborates with scholars based in United States, United Kingdom and Germany. Roni Khardon's co-authors include Dan Roth, Heikki Mannila, Dimitrios Gunopulos, Hannu Toivonen, Gabriel Wachman, Sanjeev Saluja, Dae Won Kim, Prasad Tadepalli, Markos Trichas and Alan Fern and has published in prestigious journals such as The Astrophysical Journal, Artificial Intelligence and The International Journal of Robotics Research.

In The Last Decade

Roni Khardon

71 papers receiving 974 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Roni Khardon United States 17 723 319 221 185 151 78 1.1k
Neal E. Young United States 20 358 0.5× 412 1.3× 107 0.5× 957 5.2× 284 1.9× 65 1.9k
Duncan A. Buell United States 20 401 0.6× 240 0.8× 239 1.1× 344 1.9× 213 1.4× 103 1.4k
Ata Kabán United Kingdom 20 707 1.0× 122 0.4× 101 0.5× 65 0.4× 198 1.3× 83 1.1k
Henk Sips Netherlands 23 270 0.4× 99 0.3× 293 1.3× 1.3k 6.9× 124 0.8× 118 1.9k
Daniel M. Roy United States 13 659 0.9× 103 0.3× 107 0.5× 270 1.5× 138 0.9× 51 1.1k
Michael Fink Austria 18 834 1.2× 82 0.3× 40 0.2× 135 0.7× 117 0.8× 71 1.2k
M. D. McIlroy United States 13 376 0.5× 112 0.4× 166 0.8× 179 1.0× 104 0.7× 22 706
S.C. Pohlig United States 5 559 0.8× 96 0.3× 259 1.2× 104 0.6× 31 0.2× 12 716
David R. Musser United States 19 1.1k 1.6× 623 2.0× 385 1.7× 398 2.2× 70 0.5× 61 1.6k
L. D. Baumert United States 16 614 0.8× 287 0.9× 29 0.1× 295 1.6× 79 0.5× 29 1.2k

Countries citing papers authored by Roni Khardon

Since Specialization
Citations

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

Fields of papers citing papers by Roni Khardon

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Roni Khardon

This figure shows the co-authorship network connecting the top 25 collaborators of Roni Khardon. A scholar is included among the top collaborators of Roni Khardon 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 Roni Khardon. Roni Khardon 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.
Natarajan, Sriraam, et al.. (2023). Explainable models via compression of tree ensembles. Machine Learning. 113(3). 1303–1328. 1 indexed citations
2.
Malikić, Salem, et al.. (2020). Tumor Phylogeny Topology Inference via Deep Learning. iScience. 23(11). 101655–101655. 8 indexed citations
3.
Khardon, Roni, et al.. (2019). Sampling Networks and Aggregate Simulation for Online POMDP Planning. Neural Information Processing Systems. 32. 9218–9228. 1 indexed citations
4.
Khardon, Roni, et al.. (2018). Lifted Stochastic Planning, Belief Propagation and Marginal MAP.. National Conference on Artificial Intelligence. 658–664.
5.
Marinescu, Radu, et al.. (2018). From Stochastic Planning to Marginal MAP. Neural Information Processing Systems. 31. 3081–3091. 2 indexed citations
6.
Khardon, Roni, et al.. (2017). Excess Risk Bounds for the Bayes Risk using Variational Inference in Latent Gaussian Models. Neural Information Processing Systems. 30. 5151–5161. 4 indexed citations
7.
Khardon, Roni, et al.. (2016). A Fixed-Point Operator for Inference in Variational Bayesian Latent Gaussian Models. International Conference on Artificial Intelligence and Statistics. 761–769. 2 indexed citations
8.
Khardon, Roni, et al.. (2016). Online symbolic gradient-based optimization for factored action MDPs. International Joint Conference on Artificial Intelligence. 3075–3081. 6 indexed citations
9.
Khardon, Roni, et al.. (2015). Sparse Variational Inference for Generalized GP Models. International Conference on Machine Learning. 1302–1311. 8 indexed citations
10.
Khardon, Roni, et al.. (2013). Symbolic Opportunistic Policy Iteration for Factored-Action MDPs. Neural Information Processing Systems. 26. 2499–2507. 6 indexed citations
11.
Khardon, Roni, et al.. (2013). Relational Markov decision processes: promise and prospects. National Conference on Artificial Intelligence. 15–17.
12.
Khardon, Roni, et al.. (2012). Generalization Bounds for Online Learning Algorithms with Pairwise Loss Functions. Conference on Learning Theory. 28 indexed citations
13.
Kim, Dae‐Won, et al.. (2011). Automatic QSO Selection Algorithm Using Time Series Analysis and Machine Learning. 217. 1 indexed citations
14.
Kersting, Kristian, et al.. (2009). Generalized first order decision diagrams for first order Markov decision processes. Publikationsdatenbank der Fraunhofer-Gesellschaft (Fraunhofer-Gesellschaft). 1916–1921. 5 indexed citations
15.
Khardon, Roni, et al.. (2008). Stochastic planning with first order decision diagrams. International Conference on Automated Planning and Scheduling. 156–163. 5 indexed citations
16.
Arias, Marta, et al.. (2007). Learning Horn Expressions with LOGAN-H. Journal of Machine Learning Research. 8(20). 549–587. 8 indexed citations
17.
Khardon, Roni & Gabriel Wachman. (2007). Noise Tolerant Variants of the Perceptron Algorithm. Journal of Machine Learning Research. 8(8). 227–248. 53 indexed citations
18.
Arias, Marta, et al.. (2006). Polynomial certificates for propositional classes. Information and Computation. 204(5). 816–834. 5 indexed citations
19.
Abe, Naoki, Roni Khardon, & Thomas Zeugmann. (2001). Proceedings of the 12th International Conference on Algorithmic Learning Theory. 6 indexed citations
20.
Khardon, Roni. (2000). Learning Horn Expressions with LogAn-H. International Conference on Machine Learning. 471–478. 4 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.

Explore authors with similar magnitude of impact

Rankless by CCL
2026