This map shows the geographic impact of Mihai Boicu'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 Boicu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Mihai Boicu more than expected).
This network shows the impact of papers produced by Mihai Boicu. 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 Boicu. The network helps show where Mihai Boicu may publish in the future.
Co-authorship network of co-authors of Mihai Boicu
This figure shows the co-authorship network connecting the top 25 collaborators of Mihai Boicu.
A scholar is included among the top collaborators of Mihai Boicu 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 Boicu. Mihai Boicu is excluded from
the visualization to improve readability, since they are connected to all nodes in the network.
Boicu, Mihai, et al.. (2024). Metacognition in Graduate Engineering Courses. Papers on Engineering Education Repository (American Society for Engineering Education).2 indexed citations
3.
Tecuci, Gheorghe, et al.. (2018). Integrating Collaborative Cognitive Assistants Into Cybersecurity Operations Centers.. National Conference on Artificial Intelligence. 28–35.1 indexed citations
4.
Tecuci, Gheorghe, et al.. (2017). Collaborative Cognitive Assistants for Advanced Persistent Threat Detection.. National Conference on Artificial Intelligence. 171–178.2 indexed citations
5.
Boicu, Mihai, et al.. (2016). Inquiry-Based Teaching and Learning of Science with Cognitive Assistants.. National Conference on Artificial Intelligence.1 indexed citations
6.
Boicu, Mihai, Dorin Marcu, Gheorghe Tecuci, & David A. Schum. (2011). Cognitive Assistants for Evidence-Based Reasoning Tasks. National Conference on Artificial Intelligence.6 indexed citations
Tecuci, Gheorghe, Mihai Boicu, & Dorin Marcu. (2008). Toward a Disciple-based Mixed-Initiative Cognitive Assistant.
9.
Tecuci, Gheorghe, et al.. (2005). Improving Agent Learning through Rule Analysis.. International Conference on Artificial Intelligence. 491–497.6 indexed citations
10.
Tecuci, Gheorghe, et al.. (2005). Rule refinement by domain experts in complex knowledge bases. National Conference on Artificial Intelligence. 1598–1599.4 indexed citations
11.
Boicu, Mihai, et al.. (2005). A learning and reasoning system for intelligence analysis. National Conference on Artificial Intelligence. 1678–1679.1 indexed citations
12.
Boicu, Mihai & Gheorghe Tecuci. (2003). Modeling and learning with incomplete knowledge. 90(12). 433–5.10 indexed citations
13.
Boicu, Mihai, et al.. (2003). Mixed-initiative Control for Teaching and Learning in Disciple.3 indexed citations
Marcu, Dorin, Mihai Boicu, & Gheorghe Tecuci. (2001). User-Agent Interactions in Mixed-Initiative Learning. The Florida AI Research Society. 382–388.1 indexed citations
18.
Boicu, Mihai, et al.. (2001). Ontologies and the Knowledge Acquisition Bottleneck. International Joint Conference on Artificial Intelligence.8 indexed citations
19.
Bowman, Michael, Gheorghe Tecuci, & Mihai Boicu. (2001). Intelligent Agents in the Command Post. Military review. 81(2). 46.1 indexed citations
20.
Boicu, Mihai, Kathryn Wright, Dorin Marcu, et al.. (1999). The Disciple integrated shell and methodology for rapid development of knowledge-based agents. National Conference on Artificial Intelligence. 900–901.5 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.