Meghyn Bienvenu

1.9k total citations
45 papers, 429 citations indexed

About

Meghyn Bienvenu is a scholar working on Artificial Intelligence, Computer Networks and Communications and Computational Theory and Mathematics. According to data from OpenAlex, Meghyn Bienvenu has authored 45 papers receiving a total of 429 indexed citations (citations by other indexed papers that have themselves been cited), including 44 papers in Artificial Intelligence, 28 papers in Computer Networks and Communications and 7 papers in Computational Theory and Mathematics. Recurrent topics in Meghyn Bienvenu's work include Semantic Web and Ontologies (36 papers), Advanced Database Systems and Queries (26 papers) and Logic, Reasoning, and Knowledge (24 papers). Meghyn Bienvenu is often cited by papers focused on Semantic Web and Ontologies (36 papers), Advanced Database Systems and Queries (26 papers) and Logic, Reasoning, and Knowledge (24 papers). Meghyn Bienvenu collaborates with scholars based in France, United Kingdom and Germany. Meghyn Bienvenu's co-authors include Sheila A. McIlraith, Christian Fritz, Carsten Lutz, Frank Wolter, François Goasdoué, Balder ten Cate, Riccardo Rosati, Alberto Rivas, Serge Abiteboul and Alban Galland and has published in prestigious journals such as Artificial Intelligence, Journal of the ACM and ACM Transactions on Database Systems.

In The Last Decade

Meghyn Bienvenu

45 papers receiving 397 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Meghyn Bienvenu France 12 388 210 75 60 45 45 429
Simona Perri Italy 8 665 1.7× 145 0.7× 101 1.3× 45 0.8× 16 0.4× 34 704
Evgeny Dantsin United States 9 505 1.3× 249 1.2× 219 2.9× 57 0.9× 25 0.6× 21 641
Vladislav Ryzhikov United Kingdom 11 308 0.8× 215 1.0× 46 0.6× 59 1.0× 15 0.3× 35 323
Hideya Iwasaki Japan 11 195 0.5× 176 0.8× 91 1.2× 97 1.6× 35 0.8× 40 397
Cristian Riveros Chile 9 233 0.6× 183 0.9× 57 0.8× 60 1.0× 50 1.1× 41 297
Giovambattista Ianni Italy 12 555 1.4× 149 0.7× 53 0.7× 97 1.6× 13 0.3× 43 605
Jia-Huai You Canada 11 412 1.1× 87 0.4× 162 2.2× 61 1.0× 10 0.2× 77 490
Grant Weddell Canada 12 400 1.0× 255 1.2× 30 0.4× 109 1.8× 40 0.9× 59 438
Nicole Schweikardt Germany 12 247 0.6× 196 0.9× 185 2.5× 21 0.3× 26 0.6× 48 385
Sławek Staworko France 9 211 0.5× 166 0.8× 22 0.3× 40 0.7× 73 1.6× 21 272

Countries citing papers authored by Meghyn Bienvenu

Since Specialization
Citations

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

Fields of papers citing papers by Meghyn Bienvenu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Meghyn Bienvenu

This figure shows the co-authorship network connecting the top 25 collaborators of Meghyn Bienvenu. A scholar is included among the top collaborators of Meghyn Bienvenu 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 Meghyn Bienvenu. Meghyn Bienvenu 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.
Bienvenu, Meghyn, et al.. (2023). REPLACE: A Logical Framework for Combining Collective Entity Resolution and Repairing. SPIRE - Sciences Po Institutional REpository. 3132–3139. 1 indexed citations
2.
Bienvenu, Meghyn, et al.. (2023). Combining Global and Local Merges in Logic-based Entity Resolution. SPIRE - Sciences Po Institutional REpository. 742–746. 2 indexed citations
3.
Bienvenu, Meghyn, et al.. (2019). Computing and Explaining Query Answers over Inconsistent DL-Lite Knowledge Bases. Journal of Artificial Intelligence Research. 64. 563–644. 24 indexed citations
4.
Camacho‐Morales, Alberto, Meghyn Bienvenu, & Sheila A. McIlraith. (2019). Towards a Unified View of AI Planning and Reactive Synthesis. HAL (Le Centre pour la Communication Scientifique Directe). 2 indexed citations
5.
Bienvenu, Meghyn. (2016). Ontology-mediated query answering: harnessing knowledge to get more from data. HAL (Le Centre pour la Communication Scientifique Directe). 4058–4061. 9 indexed citations
6.
Bienvenu, Meghyn, et al.. (2016). Query-driven Repairing of Inconsistent DL-Lite Knowledge Bases (Extended Abstract).. Description Logics. 1 indexed citations
7.
Bienvenu, Meghyn & Riccardo Rosati. (2016). Query-based comparison of mappings in ontology-based data access. HAL (Le Centre pour la Communication Scientifique Directe). 197–206. 4 indexed citations
8.
Bienvenu, Meghyn, Magdalena Ortiz, & Mantas Šimkus. (2015). Navigational Queries Based on Frontier-Guarded Datalog: Preliminary Results.. 2 indexed citations
9.
Bienvenu, Meghyn & Riccardo Rosati. (2015). Query-based comparison of OBDA specifications.. IRIS Research product catalog (Sapienza University of Rome). 7 indexed citations
10.
Bienvenu, Meghyn, Diego Calvanese, Magdalena Ortiz, & Mantas Šimkus. (2014). Nested Regular Path Queries in Description Logics (Extended Abstract).. View. 1 indexed citations
11.
Bienvenu, Meghyn & Riccardo Rosati. (2013). New Inconsistency-Tolerant Semantics for Robust Ontology-Based Data Access.. IRIS Research product catalog (Sapienza University of Rome). 1014. 53–64. 6 indexed citations
12.
Bienvenu, Meghyn. (2012). Inconsistency-Tolerant Conjunctive Query Answering for Simple Ontologies.. Description Logics. 4 indexed citations
13.
Bienvenu, Meghyn, Thomas Eiter, Carsten Lutz, Magdalena Ortiz, & Mantas Šimkus. (2010). Query Answering in the Description Logic S. Description Logics. 5 indexed citations
14.
Baader, Franz, Meghyn Bienvenu, Carsten Lutz, & Frank Wolter. (2009). Query Answering over DL ABoxes: How to Pick the Relevant Symbols.. Description Logics. 1 indexed citations
15.
Bienvenu, Meghyn. (2008). Prime Implicate Normal Form for ALC Concepts.. National Conference on Artificial Intelligence. 412–417. 6 indexed citations
16.
Baier, Jorge A., Christian Fritz, Meghyn Bienvenu, & Sheila A. McIlraith. (2008). Beyond classical planning: procedural control knowledge and preferences in state-of-the-art planners. National Conference on Artificial Intelligence. 1509–1512. 18 indexed citations
17.
Bienvenu, Meghyn. (2008). Complexity of abduction in the EL family of lightweight description logics. Principles of Knowledge Representation and Reasoning. 220–230. 18 indexed citations
18.
Bienvenu, Meghyn. (2007). Prime implicates and prime implicants in modal logic. National Conference on Artificial Intelligence. 379–384. 3 indexed citations
19.
Bienvenu, Meghyn. (2007). Consequence Finding in ALC.. Description Logics. 1 indexed citations
20.
Bienvenu, Meghyn, Christian Fritz, & Sheila A. McIlraith. (2006). Planning with qualitative temporal preferences. Principles of Knowledge Representation and Reasoning. 134–144. 52 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.

Explore authors with similar magnitude of impact

Rankless by CCL
2026