Richard Khoury

708 total citations
39 papers, 389 citations indexed

About

Richard Khoury is a scholar working on Artificial Intelligence, Information Systems and Computational Theory and Mathematics. According to data from OpenAlex, Richard Khoury has authored 39 papers receiving a total of 389 indexed citations (citations by other indexed papers that have themselves been cited), including 29 papers in Artificial Intelligence, 7 papers in Information Systems and 5 papers in Computational Theory and Mathematics. Recurrent topics in Richard Khoury's work include Topic Modeling (15 papers), Natural Language Processing Techniques (11 papers) and Advanced Text Analysis Techniques (8 papers). Richard Khoury is often cited by papers focused on Topic Modeling (15 papers), Natural Language Processing Techniques (11 papers) and Advanced Text Analysis Techniques (8 papers). Richard Khoury collaborates with scholars based in Canada, Macao and Spain. Richard Khoury's co-authors include Simon Fong, Shauna Farr-Jones, Jinyan Li, Yan Zhuang, Rachid Benlamri, Wei Chen, Mohamed S. Kamel, Luc Lamontagne, Fakhri Karray and Fakhreddine Karray and has published in prestigious journals such as IEEE Transactions on Fuzzy Systems, Knowledge-Based Systems and Soft Computing.

In The Last Decade

Richard Khoury

36 papers receiving 364 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Richard Khoury Canada 10 144 93 74 63 29 39 389
Scott Spangler United States 14 223 1.5× 175 1.9× 136 1.8× 54 0.9× 34 1.2× 34 673
Ruchi Mittal India 13 97 0.7× 64 0.7× 54 0.7× 74 1.2× 12 0.4× 55 493
Gregor Leban Slovenia 9 159 1.1× 134 1.4× 71 1.0× 22 0.3× 9 0.3× 20 437
Jun Ren China 11 135 0.9× 149 1.6× 51 0.7× 57 0.9× 47 1.6× 29 539
Alaaeldin M. Hafez Saudi Arabia 11 153 1.1× 54 0.6× 152 2.1× 103 1.6× 19 0.7× 37 441
Nidhi Arora India 11 117 0.8× 185 2.0× 44 0.6× 58 0.9× 16 0.6× 57 633
Vijil Chenthamarakshan United States 13 210 1.5× 218 2.3× 81 1.1× 264 4.2× 32 1.1× 29 708
Miao Liu China 8 106 0.7× 29 0.3× 119 1.6× 51 0.8× 8 0.3× 19 323
Markus Bundschus Germany 10 233 1.6× 315 3.4× 45 0.6× 76 1.2× 13 0.4× 12 559
Felipe Viegas Brazil 11 321 2.2× 60 0.6× 111 1.5× 22 0.3× 30 1.0× 27 543

Countries citing papers authored by Richard Khoury

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

20 of 20 papers shown
1.
Saggion, Horacio, et al.. (2023). MeaningBERT: assessing meaning preservation between sentences. Frontiers in Artificial Intelligence. 6. 1223924–1223924. 1 indexed citations
2.
Khoury, Richard, et al.. (2023). Modeling and Moderation of COVID-19 Social Network Chat. Information. 14(2). 124–124. 1 indexed citations
3.
4.
Khoury, Raphaël, et al.. (2021). Use of Security Logs for Data Leak Detection: A Systematic Literature Review. Security and Communication Networks. 2021. 1–29. 7 indexed citations
5.
Benlamri, Rachid, et al.. (2018). NLP-Enriched Automatic Video Segmentation. 1–6. 8 indexed citations
6.
Benlamri, Rachid, et al.. (2017). Improved Sentiment Classification by Multi-Modal Fusion. 1 2. 11–16. 1 indexed citations
7.
Lamontagne, Luc, et al.. (2016). Word embeddings and Global Preference for Contextual Suggestion.. Text REtrieval Conference. 4 indexed citations
8.
Khoury, Richard, et al.. (2016). Building User Interest Profiles Using DBpedia in a Question Answering System.. The Florida AI Research Society. 14–19. 2 indexed citations
9.
Khoury, Richard, et al.. (2015). Optimizing Question-Answering Systems Using Genetic Algorithms. The Florida AI Research Society. 32–37.
10.
Lamontagne, Luc, et al.. (2015). Laval University and Lakehead University Experiments at TREC 2015 Contextual Suggestion Track. Text REtrieval Conference. 1 indexed citations
11.
Khoury, Richard, et al.. (2015). Latin word stemming using Wiktionary:. Digital Scholarship in the Humanities. 31(2). 368–373. 2 indexed citations
12.
Fong, Simon, et al.. (2013). Air Cargo Scheduling Using Genetic Algorithms.
13.
Fong, Simon, Yan Zhuang, Jinyan Li, & Richard Khoury. (2013). Sentiment Analysis of Online News Using MALLET. 16 indexed citations
14.
Chen, Wei, Richard Khoury, & Simon Fong. (2012). Web 2.0 Recommendation service by multi-collaborative filtering trust network algorithm. Information Systems Frontiers. 15(4). 533–551. 24 indexed citations
15.
Khoury, Richard, Fakhreddine Karray, & Mohamed S. Kamel. (2008). Domain Representation Using Possibility Theory: An Exploratory Study. IEEE Transactions on Fuzzy Systems. 16(6). 1531–1541. 2 indexed citations
16.
Khoury, Richard, Fakhri Karray, Yu Sun, Mohamed S. Kamel, & Otman Basir. (2007). Semantic Understanding of General Linguistic Items by Means of Fuzzy Set Theory. IEEE Transactions on Fuzzy Systems. 15(5). 757–771. 10 indexed citations
17.
Sun, Yu, Richard Khoury, Fakhri Karray, & Otman Basir. (2006). Semantic Context Classification by Means of Fuzzy Set Theory. 12. 250–255. 2 indexed citations
18.
Farr-Jones, Shauna, et al.. (2006). High-Throughput Screening: Update on Practices and Success. SLAS DISCOVERY. 11(7). 864–869. 134 indexed citations
19.
Fox, Sandra, et al.. (2001). High Throughput Screening: Early Successes Indicate a Promising Future. SLAS DISCOVERY. 6(3). 137–140. 8 indexed citations
20.
Fox, Sandra, et al.. (2001). High Throughput Screening: Early Successes Indicate a Promising Future. 6(3). 137–140. 1 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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