This map shows the geographic impact of Roman Barták'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 Roman Barták with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Roman Barták more than expected).
This network shows the impact of papers produced by Roman Barták. 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 Roman Barták. The network helps show where Roman Barták may publish in the future.
Co-authorship network of co-authors of Roman Barták
This figure shows the co-authorship network connecting the top 25 collaborators of Roman Barták.
A scholar is included among the top collaborators of Roman Barták 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 Roman Barták. Roman Barták is excluded from
the visualization to improve readability, since they are connected to all nodes in the network.
Barták, Roman, et al.. (2018). Validation of Hierarchical Plans via Parsing of Attribute Grammars.. National Conference on Artificial Intelligence. 593–600.5 indexed citations
5.
Barták, Roman, et al.. (2017). Using Machine Learning to Identify Activities of a Flying Drone from Sensor Readings.. The Florida AI Research Society. 436–441.10 indexed citations
6.
Chrpa, Lukáš & Roman Barták. (2016). Guiding planning engines by transition-based domain control knowledge. University of Huddersfield Repository (University of Huddersfield). 545–548.4 indexed citations
7.
Barták, Roman, et al.. (2015). Camera-Based Localization and Stabilization of a Flying Drone. The Florida AI Research Society. 372–378.8 indexed citations
Barták, Roman. (2011). A Novel Constraint Model for Parallel Planning. The Florida AI Research Society.3 indexed citations
11.
Barták, Roman, Ondřej Kuželka, & Filip Železný. (2010). Formulating template consistency in inductive logic programming as a constraint satisfaction problem. National Conference on Artificial Intelligence. 2–7.
12.
Chrpa, Lukáš & Roman Barták. (2009). Reformulating Planning Problems by Eliminating Unpromising Actions. University of Huddersfield Repository (University of Huddersfield).15 indexed citations
13.
Barták, Roman & T.L. McCluskey. (2008). Workshop on Knowledge Engineering for Planning and Scheduling (KEPS). University of Huddersfield Repository (University of Huddersfield).2 indexed citations
14.
Barták, Roman, et al.. (2008). Reformulating Constraint Models for Classical Planning. The Florida AI Research Society. 525–530.18 indexed citations
15.
Chrpa, Lukáš & Roman Barták. (2008). Towards Getting Domain Knowledge: Plans Analysis through Investigation of Actions Dependencies. University of Huddersfield Repository (University of Huddersfield). 531–536.4 indexed citations
16.
Surynek, Pavel & Roman Barták. (2007). Maintaining Arc-Consistency over Mutex Relations in Planning Graphs during Search.. The Florida AI Research Society. 134–139.1 indexed citations
17.
Barták, Roman. (2006). Incremental Propagation of Time Windows on Disjunctive Resources.. The Florida AI Research Society. 25–30.3 indexed citations
18.
Barták, Roman. (2003). PRACTICAL CONSTRAINTS: A TUTORIAL ON MODELLING WITH CONSTRAINTS. 109(4). 121–5.1 indexed citations
Barták, Roman & Petr Štěpánek. (1997). Extendible meta-interpreters.. Kybernetika. 33. 291–310.2 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.