Richard J. Oentaryo

1.1k total citations
31 papers, 647 citations indexed

About

Richard J. Oentaryo is a scholar working on Artificial Intelligence, Information Systems and Marketing. According to data from OpenAlex, Richard J. Oentaryo has authored 31 papers receiving a total of 647 indexed citations (citations by other indexed papers that have themselves been cited), including 20 papers in Artificial Intelligence, 8 papers in Information Systems and 5 papers in Marketing. Recurrent topics in Richard J. Oentaryo's work include Fuzzy Logic and Control Systems (14 papers), Neural Networks and Applications (14 papers) and Recommender Systems and Techniques (4 papers). Richard J. Oentaryo is often cited by papers focused on Fuzzy Logic and Control Systems (14 papers), Neural Networks and Applications (14 papers) and Recommender Systems and Techniques (4 papers). Richard J. Oentaryo collaborates with scholars based in Singapore, United States and Indonesia. Richard J. Oentaryo's co-authors include David Lo, Michel Pasquier, Tien-Duy B. Le, Ee‐Peng Lim, Włodzisław Duch, Meng Joo Er, Xiang Li, Thong Hoang, Chai Quek and Mahardhika Pratama and has published in prestigious journals such as Expert Systems with Applications, IEEE Transactions on Software Engineering and Neurocomputing.

In The Last Decade

Richard J. Oentaryo

31 papers receiving 609 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Richard J. Oentaryo Singapore	15	285	277	129	74	72	31	647
Patricia Riddle New Zealand	12	430 1.5×	174 0.6×	45 0.3×	99 1.3×	91 1.3×	57	692
Mieke Massink Italy	17	334 1.2×	158 0.6×	372 2.9×	187 2.5×	71 1.0×	77	914
Huan Huo Australia	15	265 0.9×	220 0.8×	32 0.2×	84 1.1×	90 1.3×	49	563
In‐Young Ko South Korea	13	177 0.6×	321 1.2×	104 0.8×	282 3.8×	116 1.6×	92	611
Samir Ouchani France	13	193 0.7×	160 0.6×	90 0.7×	133 1.8×	24 0.3×	64	546
Derek Rayside Canada	20	511 1.8×	490 1.8×	256 2.0×	292 3.9×	81 1.1×	62	944
Hongji Yang United Kingdom	16	417 1.5×	735 2.7×	206 1.6×	329 4.4×	98 1.4×	147	1.2k
Ashish Jain India	11	191 0.7×	256 0.9×	375 2.9×	114 1.5×	153 2.1×	52	785
Brad Cox United States	6	360 1.3×	328 1.2×	144 1.1×	248 3.4×	42 0.6×	17	830

Countries citing papers authored by Richard J. Oentaryo

Since Specialization

Citations

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

Fields of papers citing papers by Richard J. Oentaryo

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Richard J. Oentaryo. 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 Richard J. Oentaryo. The network helps show where Richard J. Oentaryo may publish in the future.

Co-authorship network of co-authors of Richard J. Oentaryo

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

All Works

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20 of 20 papers shown

Hoang, Thong, Julia Lawall, Yuan Tian, Richard J. Oentaryo, & David Lo. (2019). PatchNet: Hierarchical Deep Learning-Based Stable Patch Identification for the Linux Kernel. IEEE Transactions on Software Engineering. 47(11). 2471–2486. 20 indexed citations

Oentaryo, Richard J., et al.. (2016). Local Gaussian Processes for Efficient Fine-Grained Traffic Speed Prediction. IEEE Transactions on Big Data. 3(2). 194–207. 16 indexed citations

Lai, Vivian, et al.. (2016). CareerMapper: An automated resume evaluation tool. 4005–4007. 8 indexed citations

Oentaryo, Richard J., Stephanus Daniel Handoko, & Hoong Chuin Lau. (2015). Algorithm Selection via Ranking. Proceedings of the AAAI Conference on Artificial Intelligence. 29(1). 5 indexed citations

Oentaryo, Richard J., Ee‐Peng Lim, David Lo, et al.. (2014). Detecting click fraud in online advertising: a data mining approach. Journal of Machine Learning Research. 15(1). 99–140. 45 indexed citations

Oentaryo, Richard J., et al.. (2014). Online probabilistic learning for fuzzy inference system. Expert Systems with Applications. 41(11). 5082–5096. 19 indexed citations

Oentaryo, Richard J., et al.. (2014). Predicting response in mobile advertising with hierarchical importance-aware factorization machine. 123–132. 64 indexed citations

Oentaryo, Richard J., et al.. (2013). Modeling Temporal Adoptions Using Dynamic Matrix Factorization. 91–100. 34 indexed citations

Er, Meng Joo & Richard J. Oentaryo. (2011). Computational Intelligence: Methods and Techniques (Rutkowski, L.; 2008) [Book Review]. IEEE Computational Intelligence Magazine. 6(4). 76–78. 3 indexed citations

10.

Oentaryo, Richard J., Michel Pasquier, & Chai Quek. (2011). RFCMAC: A novel reduced localized neuro-fuzzy system approach to knowledge extraction. Expert Systems with Applications. 38(10). 12066–12084. 9 indexed citations

11.

Oentaryo, Richard J., et al.. (2011). Bayesian ART-based fuzzy inference system: A new approach to prognosis of machining processes. 23. 1–10. 14 indexed citations

12.

Pratama, Mahardhika, Meng Joo Er, Xiang Li, et al.. (2011). Tool wear prediction using evolutionary Dynamic Fuzzy Neural (EDFNN) Network. 9. 4739–4744. 3 indexed citations

13.

Oentaryo, Richard J. & Michel Pasquier. (2009). A novel dual neuro-fuzzy system approach for large-scale knowledge consolidation. 53–58. 1 indexed citations

14.

Duch, Włodzisław, Richard J. Oentaryo, & Michel Pasquier. (2008). Cognitive Architectures: Where do we go from here?. 122–136. 74 indexed citations

15.

Oentaryo, Richard J. & Michel Pasquier. (2008). Towards A Novel Integrated Neuro-Cognitive Architecture (INCA). 1902–1909. 7 indexed citations

16.

Pasquier, Michel & Richard J. Oentaryo. (2008). Learning to drive the human way: a step towards intelligent vehicles. International Journal of Vehicle Autonomous Systems. 6(1/2). 24–24. 12 indexed citations

17.

Oentaryo, Richard J. & Michel Pasquier. (2008). A reduced rule-based localist network for data comprehension. 146. 2660–2667. 1 indexed citations

18.

Pasquier, Michel, et al.. (2007). Generic GA-based meta-level parameter optimization for pattern recognition systems. 220. 1593–1600. 3 indexed citations

19.

Oentaryo, Richard J., Michel Pasquier, & Chai Quek. (2007). GenSoFNN-Yager: A novel brain-inspired generic self-organizing neuro-fuzzy system realizing Yager inference. Expert Systems with Applications. 35(4). 1825–1840. 17 indexed citations

20.

Oentaryo, Richard J. & Michel Pasquier. (2005). Self-trained automated parking system. 2. 1005–1010. 17 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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