Minh Dao-Tran

1.1k citations
14 papers · 113 · h-index 7

Impact in

    • Data Management and Algorithms
    • Semantic Web and Ontologies
    • Logic, Reasoning, and Knowledge
    • Multi-Agent Systems and Negotiation
    • AI-based Problem Solving and Planning

Papers in

Minh Dao-Tran

14 papers receiving 108 citations

Peers

Minh Dao-Tran
Comparison fields: 5 of 28
  • Signal Processing 33
  • Artificial Intelligence 94
  • Computer Networks and Communications 54
  • Information Systems 17
  • Health Informatics 1
Replace Michaël Thomazo with:
Michaël Thomazo France
Franz Faerber Germany
Michael Minock Sweden
Thibault Gisselbrecht France
Frédéric Koriche France
Flavio Rizzolo Canada
Wei-Lin Chiang Taiwan
Wil Michiels Netherlands
Mahesh Motwani India
Indranil Ghosh Ray United Kingdom
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Citations per field
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Citations per year

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-authors

The 8 scholars most cited alongside Minh Dao-Tran, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Minh Dao-Tran Line = papers co-authored together Minh Dao-Tran links everyone, so they are left out of the graph.

All Works

14 of 14 papers shown
#Work
1 201525
2 201821
3
Distributed nonmonotonic multi-context systems
201012
4 201710
5 20158
6 20157
7
Towards Enriching CQELS with Complex Event Processing and Path Navigation.
20157
8
Towards a logic-based framework for analyzing stream reasoning
20146
9
Answer update for rule-based stream reasoning
20155
10 20174
11 20183
12
Equivalent stream reasoning programs
20162
13
Towards Comparing RDF Stream Processing Semantics.
20152
14
Model Streaming for Distributed Multi-Context Systems.
20111

About Minh Dao-Tran

Minh Dao-Tran is a scholar working on Artificial Intelligence, Computer Networks and Communications, Signal Processing, Sociology and Political Science and Information Systems, having authored 14 papers that have together received 113 indexed citations. Recurring topics across this work include Semantic Web and Ontologies (11 papers), Advanced Database Systems and Queries (8 papers), Logic, Reasoning, and Knowledge (7 papers), Data Management and Algorithms (5 papers), Multi-Agent Systems and Negotiation (3 papers), Distributed systems and fault tolerance (1 paper), Bayesian Modeling and Causal Inference (1 paper) and Access Control and Trust (1 paper). The work is most often cited by research in Signal Processing (33 citations), Artificial Intelligence (94 citations), Computer Networks and Communications (54 citations), Information Systems (17 citations) and Health Informatics (1 citation). Minh Dao-Tran has collaborated with scholars based in Austria, Ireland and Germany. Frequent co-authors include Thomas Eiter, Harald Beck, Michael Fink, Danh Le-Phuoc, Thomas Krennwallner, Konstantin Schekotihin, Manfred Hauswirth and Hermann Hellwagner. Their work appears in journals such as Artificial Intelligence, Journal of Artificial Intelligence Research, KI - Künstliche Intelligenz, Principles of Knowledge Representation and Reasoning and International Conference on Artificial Intelligence.

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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