Mihai Barbuceanu
- Artificial Intelligence top 2%
- Management Information Systems top 1%
- Information Systems top 5%
- Industrial and Manufacturing Engineering top 2%
- Management Science and Operations Research top 5%
- Topics
- Multi-Agent Systems and Negotiation (20 papers)Semantic Web and Ontologies (11 papers)Business Process Modeling and Analysis (9 papers)
In The Last Decade
Mihai Barbuceanu
23 papers receiving 849 citations
Peers
Comparison fields: 5 of 66
- Artificial Intelligence 547
- Management Information Systems 450
- Information Systems 242
- Industrial and Manufacturing Engineering 225
- Management Science and Operations Research 198
Countries citing papers authored by Mihai Barbuceanu
This map shows the geographic impact of Mihai Barbuceanu'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 Mihai Barbuceanu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Mihai Barbuceanu more than expected).
Fields of papers citing papers by Mihai Barbuceanu
This network shows the impact of papers produced by Mihai Barbuceanu. 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 Mihai Barbuceanu. The network helps show where Mihai Barbuceanu may publish in the future.
Co-authorship network of co-authors of Mihai Barbuceanu
This figure shows the co-authorship network connecting the top 25 collaborators of Mihai Barbuceanu. A scholar is included among the top collaborators of Mihai Barbuceanu 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 Mihai Barbuceanu. Mihai Barbuceanu is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | Building Agents for the Customer Service Front | 0 |
| 3 | 39 | |
| 4 | 32 | |
| 5 | 1 | |
| 6 | 19 | |
| 7 | An Organization Ontology for Enterprise Modelling | 61 |
| 8 | 201 | |
| 9 | 59 | |
| 10 | Agents that work in harmony by knowing and fulfilling their obligations | 7 |
| 11 | An organizational ontology for enterprise modeling | 52 |
| 12 | Coordinating agents by role based social constraints and conversation plans | 18 |
| 13 | 36 | |
| 14 | Conflict Management with a Credibility/ Deniability Model | 1 |
| 15 | 30 | |
| 16 | 120 | |
| 17 | The Integrated Supply Chain Management System | 99 |
| 18 | 13 | |
| 19 | XRL: An Evolutionary Multi-Paradigm Environment for AI Programming. | 0 |
| 20 | 3 |
About Mihai Barbuceanu
Mihai Barbuceanu is a scholar working on Management Information Systems, Artificial Intelligence and Management Science and Operations Research, having authored 28 papers that have together received 988 indexed citations. Recurring topics across this work include Multi-Agent Systems and Negotiation (20 papers), Semantic Web and Ontologies (11 papers) and Business Process Modeling and Analysis (9 papers). The work is most often cited by research in Management Information Systems (450 citations), Industrial and Manufacturing Engineering (225 citations) and Artificial Intelligence (547 citations). Mihai Barbuceanu has collaborated with scholars based in Canada, Romania and China. Frequent co-authors include Mark S. Fox, Michael Grüninger, Jinxin Lin, Serge Mankovski, Zhongdong Zhang and Ștefan Trăușan-Matu. Their work appears in journals such as Computers in Industry, AI Magazine and Applied 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.