Minh Dao-Tran

1.1k total citations
14 papers, 113 citations indexed

About

Minh Dao-Tran is a scholar working on Artificial Intelligence, Computer Networks and Communications and Signal Processing. According to data from OpenAlex, Minh Dao-Tran has authored 14 papers receiving a total of 113 indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Artificial Intelligence, 11 papers in Computer Networks and Communications and 5 papers in Signal Processing. Recurrent topics in Minh Dao-Tran's work include Semantic Web and Ontologies (11 papers), Advanced Database Systems and Queries (8 papers) and Logic, Reasoning, and Knowledge (7 papers). Minh Dao-Tran is often cited by papers focused on Semantic Web and Ontologies (11 papers), Advanced Database Systems and Queries (8 papers) and Logic, Reasoning, and Knowledge (7 papers). Minh Dao-Tran collaborates with scholars based in Austria, Ireland and Germany. Minh Dao-Tran's co-authors include Thomas Eiter, Harald Beck, Michael Fink, Danh Le-Phuoc, Thomas Krennwallner, Manfred Hauswirth, Konstantin Schekotihin and Hermann Hellwagner and has published in prestigious journals such as Artificial Intelligence, Journal of Artificial Intelligence Research and KI - Künstliche Intelligenz.

In The Last Decade

Minh Dao-Tran

14 papers receiving 108 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Minh Dao-Tran Austria 7 94 54 33 17 12 14 113
Michaël Thomazo France 6 119 1.3× 97 1.8× 39 1.2× 12 0.7× 4 0.3× 15 132
Michael Minock Sweden 6 112 1.2× 60 1.1× 48 1.5× 47 2.8× 12 1.0× 21 152
Franz Faerber Germany 6 35 0.4× 81 1.5× 27 0.8× 38 2.2× 11 0.9× 11 97
Thibault Gisselbrecht France 3 154 1.6× 27 0.5× 23 0.7× 18 1.1× 10 0.8× 4 181
Flavio Rizzolo Canada 6 105 1.1× 119 2.2× 94 2.8× 35 2.1× 12 1.0× 14 150
Mahesh Motwani India 6 59 0.6× 29 0.5× 11 0.3× 35 2.1× 24 2.0× 19 121
Frédéric Koriche France 7 80 0.9× 54 1.0× 32 1.0× 19 1.1× 3 0.3× 17 131
Holger Meuss Germany 8 134 1.4× 125 2.3× 98 3.0× 44 2.6× 10 0.8× 13 173
Daniel Rausch Germany 7 60 0.6× 32 0.6× 12 0.4× 58 3.4× 12 1.0× 11 102
Indranil Ghosh Ray United Kingdom 8 95 1.0× 22 0.4× 18 0.5× 51 3.0× 17 1.4× 16 131

Countries citing papers authored by Minh Dao-Tran

Since Specialization
Citations

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

Fields of papers citing papers by Minh Dao-Tran

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Minh Dao-Tran. 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 Minh Dao-Tran. The network helps show where Minh Dao-Tran may publish in the future.

Co-authorship network of co-authors of Minh Dao-Tran

This figure shows the co-authorship network connecting the top 25 collaborators of Minh Dao-Tran. A scholar is included among the top collaborators of Minh Dao-Tran 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 Minh Dao-Tran. Minh Dao-Tran is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

14 of 14 papers shown
1.
Beck, Harald, et al.. (2018). Stream Reasoning with LARS. KI - Künstliche Intelligenz. 32(2-3). 193–195. 3 indexed citations
2.
Beck, Harald, Minh Dao-Tran, & Thomas Eiter. (2018). LARS: A Logic-based framework for Analytic Reasoning over Streams. Artificial Intelligence. 261. 16–70. 21 indexed citations
3.
Beck, Harald, et al.. (2017). Stream reasoning-based control of caching strategies in CCN routers. 17. 1–6. 4 indexed citations
4.
Dao-Tran, Minh & Thomas Eiter. (2017). Streaming Multi-Context Systems. 1000–1007. 10 indexed citations
5.
Beck, Harald, Minh Dao-Tran, & Thomas Eiter. (2016). Equivalent stream reasoning programs. International Joint Conference on Artificial Intelligence. 929–935. 2 indexed citations
6.
Beck, Harald, Minh Dao-Tran, & Thomas Eiter. (2015). Answer update for rule-based stream reasoning. International Conference on Artificial Intelligence. 2741–2747. 5 indexed citations
7.
Dao-Tran, Minh, Thomas Eiter, Michael Fink, & Thomas Krennwallner. (2015). Distributed Evaluation of Nonmonotonic Multi-context Systems. Journal of Artificial Intelligence Research. 52. 543–600. 8 indexed citations
8.
Le-Phuoc, Danh, et al.. (2015). RDF stream processing with CQELS framework for real-time analysis. Publikationsdatenbank der Fraunhofer-Gesellschaft (Fraunhofer-Gesellschaft). 285–292. 7 indexed citations
9.
Beck, Harald, Minh Dao-Tran, Thomas Eiter, & Michael Fink. (2015). LARS: A Logic-Based Framework for Analyzing Reasoning over Streams. Proceedings of the AAAI Conference on Artificial Intelligence. 29(1). 25 indexed citations
10.
Dao-Tran, Minh & Danh Le-Phuoc. (2015). Towards Enriching CQELS with Complex Event Processing and Path Navigation.. 2–14. 7 indexed citations
11.
Dao-Tran, Minh, Harald Beck, & Thomas Eiter. (2015). Towards Comparing RDF Stream Processing Semantics.. 15–27. 2 indexed citations
12.
Beck, Harald, Minh Dao-Tran, Thomas Eiter, & Michael Fink. (2014). Towards a logic-based framework for analyzing stream reasoning. 11–22. 6 indexed citations
13.
Dao-Tran, Minh, Thomas Eiter, Michael Fink, & Thomas Krennwallner. (2011). Model Streaming for Distributed Multi-Context Systems.. 11–22. 1 indexed citations
14.
Dao-Tran, Minh, Thomas Eiter, Michael Fink, & Thomas Krennwallner. (2010). Distributed nonmonotonic multi-context systems. Principles of Knowledge Representation and Reasoning. 60–70. 12 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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