Richard Chbeir

2.2k total citations
135 papers, 863 citations indexed

About

Richard Chbeir is a scholar working on Artificial Intelligence, Computer Networks and Communications and Computer Vision and Pattern Recognition. According to data from OpenAlex, Richard Chbeir has authored 135 papers receiving a total of 863 indexed citations (citations by other indexed papers that have themselves been cited), including 58 papers in Artificial Intelligence, 49 papers in Computer Networks and Communications and 28 papers in Computer Vision and Pattern Recognition. Recurrent topics in Richard Chbeir's work include Semantic Web and Ontologies (35 papers), Advanced Database Systems and Queries (24 papers) and Data Management and Algorithms (16 papers). Richard Chbeir is often cited by papers focused on Semantic Web and Ontologies (35 papers), Advanced Database Systems and Queries (24 papers) and Data Management and Algorithms (16 papers). Richard Chbeir collaborates with scholars based in France, Lebanon and Tunisia. Richard Chbeir's co-authors include Joe Tekli, Kokou Yétongnon, Agma J. M. Traina, Caetano Traina, Yannis Manolopoulos, Ernesto Damiani, Yudith Cardinale, Ilias Maglogiannis, Gabriele Gianini and Reda Alhajj and has published in prestigious journals such as IEEE Transactions on Geoscience and Remote Sensing, Sensors and Information Sciences.

In The Last Decade

Richard Chbeir

121 papers receiving 815 citations

Peers

Richard Chbeir
Richard Chbeir
Citations per year, relative to Richard Chbeir Richard Chbeir (= 1×) peers Mohamed Nazih Omri

Countries citing papers authored by Richard Chbeir

Since Specialization
Citations

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

Fields of papers citing papers by Richard Chbeir

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Richard Chbeir

This figure shows the co-authorship network connecting the top 25 collaborators of Richard Chbeir. A scholar is included among the top collaborators of Richard Chbeir 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 Chbeir. Richard Chbeir 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.
Chbeir, Richard, et al.. (2024). Uncertainty-Aware Time Series Anomaly Detection. Future Internet. 16(11). 403–403. 3 indexed citations
2.
Chbeir, Richard, et al.. (2024). An Ontology for In‐Depth Description of User Situations in Connected Environments. Expert Systems. 42(2).
3.
Chbeir, Richard, et al.. (2024). Towards ML Models’ Recommendations. Data Science and Engineering. 9(4). 409–430. 1 indexed citations
4.
Peng, Tao, et al.. (2023). Multi‐output regression for imbalanced data stream. Expert Systems. 40(10). 1 indexed citations
5.
Noureddine, Adel, et al.. (2022). The Impact of Green Feedback on Users’ Software Usage. IEEE Transactions on Sustainable Computing. 8(2). 280–292. 5 indexed citations
6.
Figueroa, Alejandro, et al.. (2017). EDiM: Ecosistema Digital Multimedia Plataforma Novedosa de Colaboración y Compartimiento. 1(18).
7.
Chbeir, Richard, et al.. (2016). Automatic rule generation using crowdsourcing for better relationship type discovery. Pervasive and Mobile Computing. 36. 80–97. 1 indexed citations
8.
Chbeir, Richard, et al.. (2013). A visual programming language for XML manipulation. HAL (Le Centre pour la Communication Scientifique Directe). 4 indexed citations
9.
Chbeir, Richard. (2010). Proceedings of the International Conference on Management of Emergent Digital EcoSystems. 199–199. 9 indexed citations
10.
Chbeir, Richard, et al.. (2008). Efficient Power Aware and Reputation-Based Routing Protocol for MANET. Journal of Digital Information Management. 6(1). 21–29. 5 indexed citations
11.
Ma, Yinghua, Richard Chbeir, & Kokou Yétongnon. (2007). An improved cluster-based P2P multicasting approach. 59.
12.
Tekli, Joe, et al.. (2007). Towards efficient horizontal multimedia database fragmentation using semantic-based predicates implication. 68–82. 8 indexed citations
13.
Tekli, Joe, Richard Chbeir, & Kokou Yétongnon. (2007). Efficient XML Structural Similarity Detection using Sub-tree Commonalities. 116–130. 11 indexed citations
14.
Tekli, Joe, Richard Chbeir, & Kokou Yétongnon. (2007). A fine-grained XML structural comparison approach. 582–598. 4 indexed citations
15.
Chbeir, Richard & Kokou Yétongnon. (2006). Signal Image Technology & Internet-based Systems.. Journal of Digital Information Management. 4. 100–101. 6 indexed citations
16.
Tekli, Joe, Richard Chbeir, & Kokou Yétongnon. (2006). Semantic and Structure Based XML Similarity: An Integrated Approach.. 27–38. 8 indexed citations
17.
Kacimi, Mouna, et al.. (2005). Distributed Caching in a Cluster-based Hybrid Overlay Network for P2P Systems.. 9–14.
18.
Chbeir, Richard, et al.. (2004). Towards Fully Functional Distributed MultiMedia DBMS. Journal of Digital Information Management. 2(3). 116–121. 4 indexed citations
19.
Chbeir, Richard, et al.. (2000). MIMS: a prototype for medical image retrieval. 846–861. 16 indexed citations
20.
Chbeir, Richard, et al.. (2000). Image modeling for medical databases.. Computers and Their Applications. 24–28. 2 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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