Citations per year, relative to Nikola Trčka Nikola Trčka (= 1×)
peers
Marina Ribaudo
Countries citing papers authored by Nikola Trčka
Since
Specialization
Citations
This map shows the geographic impact of Nikola Trčka'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 Nikola Trčka with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Nikola Trčka more than expected).
This network shows the impact of papers produced by Nikola Trčka. 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 Nikola Trčka. The network helps show where Nikola Trčka may publish in the future.
Co-authorship network of co-authors of Nikola Trčka
This figure shows the co-authorship network connecting the top 25 collaborators of Nikola Trčka.
A scholar is included among the top collaborators of Nikola Trčka 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 Nikola Trčka. Nikola Trčka 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.
Basten, Twan, Martijn Hendriks, Lou Somers, & Nikola Trčka. (2013). Model-Driven Design-Space Exploration for Software-Intensive Embedded Systems ⋆ (extended abstract).1 indexed citations
2.
Pechenizkiy, Mykola, Nikola Trčka, Paul De Bra, & Pedro Toledo. (2012). CurriM: Curriculum Mining. TU/e Research Portal. 64(7-8). 216–217.16 indexed citations
3.
Trčka, Nikola, Mykola Pechenizkiy, & Wil M. P. van der Aalst. (2011). Process mining from educational data (Chapter 9). Data Archiving and Networked Services (DANS). 123.5 indexed citations
Somers, Lou, et al.. (2011). A visual language for modeling and analyzing printer data path architectures. Munich Personal RePEc Archive (Ludwig Maximilian University of Munich). 53(6). 1–20.1 indexed citations
Trčka, Nikola, et al.. (2010). Parameterized timed partial orders with resources: formal definition and semantics. Data Archiving and Networked Services (DANS). 38–43.1 indexed citations
9.
Pechenizkiy, Mykola, Nikola Trčka, Ekaterina Vasilyeva, Wil M. P. van der Aalst, & Pme Paul De Bra. (2009). Process Mining Online Assessment Data. TU/e Research Portal. 2009(1). 279–288.39 indexed citations
Trčka, Nikola, Sonja Georgievska, Jasen Markovski, Suzana Andova, & E.P. de Vink. (2008). Performance analysis of chi models using discrete-time probabilistic reward graphs. TU/e Research Portal (Eindhoven University of Technology).2 indexed citations
14.
Glabbeek, Rob van, Bas Luttik, & Nikola Trčka. (2008). . TU/e Research Portal.21 indexed citations
15.
Trčka, Nikola, Wil M. P. van der Aalst, & Natalia Sidorova. (2008). Analyzing control-flow and data-flow in workflow processes in a unified way. Data Archiving and Networked Services (DANS). 831.13 indexed citations
16.
Markovski, Jasen & Nikola Trčka. (2007). Aggregation Methods for Markov Reward Chains with Fast and Silent Transitions. TU/e Research Portal (Eindhoven University of Technology). 708. 1–15.4 indexed citations
Trčka, Nikola, et al.. (2004). Analyzing a Chi model of a turntable system using Spin, CADP and Uppaal. Data Archiving and Networked Services (DANS). 423.1 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.