Richard J. Oentaryo
- Artificial Intelligence top 5%
- Information Systems top 2%
- Software top 5%
- Computer Networks and Communications top 10%
- Computer Vision and Pattern Recognition top 10%
- Co-authors
- David LoMichel PasquierTien-Duy B. LeEe‐Peng LimWłodzisław DuchMeng Joo ErXiang LiThong Hoang
- Topics
- Fuzzy Logic and Control Systems (14 papers)Neural Networks and Applications (14 papers)Recommender Systems and Techniques (4 papers)
- Partner nations
- SingaporeUnited StatesIndonesia
In The Last Decade
Richard J. Oentaryo
31 papers receiving 609 citations
Peers
Comparison fields: 5 of 79
- Artificial Intelligence 285
- Information Systems 277
- Software 129
- Computer Networks and Communications 74
- Computer Vision and Pattern Recognition 72
Countries citing papers authored by Richard J. Oentaryo
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
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
| # | Work | Indexed citations |
|---|---|---|
| 1 | 20 | |
| 2 | 14 | |
| 3 | 16 | |
| 4 | 8 | |
| 5 | Detecting click fraud in online advertising: a data mining approach | 45 |
| 6 | 19 | |
| 7 | 34 | |
| 8 | Mining fraudulent patterns in online advertising | 1 |
| 9 | 19 | |
| 10 | 25 | |
| 11 | 9 | |
| 12 | 3 | |
| 13 | 14 | |
| 14 | 1 | |
| 15 | Cognitive Architectures: Where do we go from here? | 74 |
| 16 | 12 | |
| 17 | 3 | |
| 18 | 10 | |
| 19 | 4 | |
| 20 | 17 |
About Richard J. Oentaryo
Richard J. Oentaryo is a scholar working on Artificial Intelligence, Marketing and Software, having authored 31 papers that have together received 647 indexed citations. Recurring topics across this work include Fuzzy Logic and Control Systems (14 papers), Neural Networks and Applications (14 papers) and Recommender Systems and Techniques (4 papers). The work is most often cited by research in Software (129 citations), Information Systems (277 citations) and Artificial Intelligence (285 citations). Richard J. Oentaryo has collaborated with scholars based in Singapore, United States and Indonesia. Frequent 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. Their work appears in journals such as Expert Systems with Applications, IEEE Transactions on Software Engineering and Neurocomputing.
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.