Citations per year, relative to Peter Vojtáš Peter Vojtáš (= 1×)
peers
Steve Chien
Countries citing papers authored by Peter Vojtáš
Since
Specialization
Citations
This map shows the geographic impact of Peter Vojtáš'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 Peter Vojtáš with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Peter Vojtáš more than expected).
This network shows the impact of papers produced by Peter Vojtáš. 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 Peter Vojtáš. The network helps show where Peter Vojtáš may publish in the future.
Co-authorship network of co-authors of Peter Vojtáš
This figure shows the co-authorship network connecting the top 25 collaborators of Peter Vojtáš.
A scholar is included among the top collaborators of Peter Vojtáš 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 Peter Vojtáš. Peter Vojtáš is excluded from
the visualization to improve readability, since they are connected to all nodes in the network.
All Works
20 of 20 papers shown
1.
Peška, Ladislav & Peter Vojtáš. (2017). Towards Complex User Feedback and Presentation Context in Recommender Systems.. 203–207.1 indexed citations
2.
Peška, Ladislav & Peter Vojtáš. (2015). How to Interpret Implicit User Feedback. Conference on Recommender Systems.2 indexed citations
3.
Peška, Ladislav & Peter Vojtáš. (2012). Evaluating the Importance of Various Implicit Factors in E-commerce.. Conference on Recommender Systems. 51–55.2 indexed citations
Pokorný, Jaroslav, et al.. (2011). Multi-user Searching of Top-k Objects with Data on Remote Servers.. 200–211.
6.
Vojtáš, Peter, et al.. (2010). Comparison of Scoring and Order Approach in Description Logic EL(D). 709–720.2 indexed citations
7.
Vojtáš, Peter, et al.. (2009). How to learn fuzzy user preferences with variable objectives. European Society for Fuzzy Logic and Technology Conference. 938–943.4 indexed citations
8.
Vojtáš, Peter, et al.. (2009). Fuzziness as a Model of User Preference in Semantic Web Search. European Society for Fuzzy Logic and Technology Conference. 998–1003.1 indexed citations
9.
Horváth, Tomáš, et al.. (2009). User Preference Web Search -- Experiments with a System Connecting Web and User. Computing and Informatics / Computers and Artificial Intelligence. 28(4). 515–553.5 indexed citations
10.
Pokorný, Jaroslav, et al.. (2009). Ontology Engineering Relationally. European Journal of Combinatorics. 275–282.
11.
Horváth, Tomáš, et al.. (2007). Uncertainty issues in automating process connecting web and user. 97–108.4 indexed citations
12.
Vojtáš, Peter, et al.. (2004). An ILP model for a monotone graded classification problem. Kybernetika. 40(3). 317–332.4 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.