Richard Khoury
- Artificial Intelligence top 10%
- Molecular Biology
- Information Systems top 10%
- Computational Theory and Mathematics top 10%
- Biomedical Engineering
- Co-authors
- Simon FongShauna Farr-JonesJinyan LiYan ZhuangRachid BenlamriWei ChenMohamed S. KamelLuc Lamontagne
- Topics
- Topic Modeling (15 papers)Natural Language Processing Techniques (11 papers)Advanced Text Analysis Techniques (8 papers)
In The Last Decade
Richard Khoury
36 papers receiving 364 citations
Peers
Comparison fields: 5 of 122
- Artificial Intelligence 144
- Molecular Biology 93
- Information Systems 74
- Computational Theory and Mathematics 63
- Biomedical Engineering 29
Countries citing papers authored by Richard Khoury
This map shows the geographic impact of Richard Khoury'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 Khoury with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Richard Khoury more than expected).
Fields of papers citing papers by Richard Khoury
This network shows the impact of papers produced by Richard Khoury. 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 Khoury. The network helps show where Richard Khoury may publish in the future.
Co-authorship network of co-authors of Richard Khoury
This figure shows the co-authorship network connecting the top 25 collaborators of Richard Khoury. A scholar is included among the top collaborators of Richard Khoury 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 Khoury. Richard Khoury is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 1 | |
| 3 | 0 | |
| 4 | 8 | |
| 5 | 7 | |
| 6 | 8 | |
| 7 | 1 | |
| 8 | Building User Interest Profiles Using DBpedia in a Question Answering System. | 2 |
| 9 | Word embeddings and Global Preference for Contextual Suggestion. | 4 |
| 10 | Laval University and Lakehead University Experiments at TREC 2015 Contextual Suggestion Track | 1 |
| 11 | Optimizing Question-Answering Systems Using Genetic Algorithms | 0 |
| 12 | 2 | |
| 13 | 16 | |
| 14 | 0 | |
| 15 | 24 | |
| 16 | 1 | |
| 17 | 10 | |
| 18 | 134 | |
| 19 | 2 | |
| 20 | 8 |
About Richard Khoury
Richard Khoury is a scholar working on Artificial Intelligence, Computational Theory and Mathematics and Information Systems, having authored 39 papers that have together received 389 indexed citations. Recurring topics across this work include Topic Modeling (15 papers), Natural Language Processing Techniques (11 papers) and Advanced Text Analysis Techniques (8 papers). The work is most often cited by research in Artificial Intelligence (144 citations), Computational Theory and Mathematics (63 citations) and Information Systems (74 citations). Richard Khoury has collaborated with scholars based in Canada, Macao and China. Frequent co-authors include Simon Fong, Shauna Farr-Jones, Jinyan Li, Yan Zhuang, Rachid Benlamri, Wei Chen, Mohamed S. Kamel, Luc Lamontagne, Fakhreddine Karray and Fakhri Karray. Their work appears in journals such as IEEE Transactions on Fuzzy Systems, Knowledge-Based Systems and Soft Computing.
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.