Marius Mikučionis

2.5k total citations · 1 hit paper
27 papers, 677 citations indexed

About

Marius Mikučionis is a scholar working on Computational Theory and Mathematics, Hardware and Architecture and Software. According to data from OpenAlex, Marius Mikučionis has authored 27 papers receiving a total of 677 indexed citations (citations by other indexed papers that have themselves been cited), including 21 papers in Computational Theory and Mathematics, 12 papers in Hardware and Architecture and 12 papers in Software. Recurrent topics in Marius Mikučionis's work include Formal Methods in Verification (18 papers), Software Testing and Debugging Techniques (10 papers) and Real-Time Systems Scheduling (9 papers). Marius Mikučionis is often cited by papers focused on Formal Methods in Verification (18 papers), Software Testing and Debugging Techniques (10 papers) and Real-Time Systems Scheduling (9 papers). Marius Mikučionis collaborates with scholars based in Denmark, France and China. Marius Mikučionis's co-authors include Kim G. Larsen, Alexandre David, Danny Bøgsted Poulsen, Axel Legay, Brian Nielsen, Arne Skou, Dehui Du, Zheng Wang, Jin Hyun Kim and Ulrik Nyman and has published in prestigious journals such as SHILAP Revista de lepidopterología, Science China Information Sciences and Science of Computer Programming.

In The Last Decade

Marius Mikučionis

26 papers receiving 647 citations

Hit Papers

Uppaal SMC tutorial 2015 2026 2018 2022 2015 50 100 150 200 250

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Marius Mikučionis Denmark 12 407 341 185 142 108 27 677
Alexandre David Denmark 12 481 1.2× 353 1.0× 207 1.1× 211 1.5× 116 1.1× 48 798
Arne Skou Denmark 14 376 0.9× 247 0.7× 172 0.9× 167 1.2× 113 1.0× 55 620
Dejan Ničković Austria 12 257 0.6× 215 0.6× 93 0.5× 157 1.1× 75 0.7× 49 465
Béatrice Bérard France 11 521 1.3× 246 0.7× 153 0.8× 256 1.8× 172 1.6× 31 760
Doron Drusinsky United States 12 295 0.7× 262 0.8× 120 0.6× 204 1.4× 76 0.7× 62 535
Markus Siegle Germany 13 318 0.8× 193 0.6× 73 0.4× 134 0.9× 139 1.3× 39 530
Danny Bøgsted Poulsen Denmark 6 242 0.6× 164 0.5× 97 0.5× 118 0.8× 68 0.6× 17 406
Saddek Bensalem France 13 367 0.9× 255 0.7× 175 0.9× 221 1.6× 109 1.0× 42 565
Cristina Seceleanu Sweden 11 183 0.4× 161 0.5× 125 0.7× 159 1.1× 81 0.8× 86 416
Gerd Behrmann Denmark 12 363 0.9× 209 0.6× 129 0.7× 160 1.1× 292 2.7× 31 726

Countries citing papers authored by Marius Mikučionis

Since Specialization
Citations

This map shows the geographic impact of Marius Mikučionis'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 Marius Mikučionis with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Marius Mikučionis more than expected).

Fields of papers citing papers by Marius Mikučionis

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Marius Mikučionis. 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 Marius Mikučionis. The network helps show where Marius Mikučionis may publish in the future.

Co-authorship network of co-authors of Marius Mikučionis

This figure shows the co-authorship network connecting the top 25 collaborators of Marius Mikučionis. A scholar is included among the top collaborators of Marius Mikučionis 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 Marius Mikučionis. Marius Mikučionis 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.
Mikučionis, Marius, et al.. (2024). Scalable Computation of Inter-Core Bounds Through Exact Abstractions. arXiv (Cornell University). 61–70.
2.
Jensen, Peter Gjøl, et al.. (2022). An investigation of safe and near-optimal strategies for prevention of Covid-19 exposure using stochastic hybrid models and machine learning. Decision Analytics Journal. 5. 100141–100141. 6 indexed citations
3.
Gamatié, Abdoulaye, Gilles Sassatelli, & Marius Mikučionis. (2021). Modeling and Analysis for Energy-Driven Computing using Statistical Model-Checking. VBN Forskningsportal (Aalborg Universitet). 980–985. 4 indexed citations
4.
David, Alexandre, Jin Hyun Kim, Kim G. Larsen, et al.. (2016). Statistical and exact schedulability analysis of hierarchical scheduling systems. Science of Computer Programming. 127. 103–130. 14 indexed citations
5.
Larsen, Kim G., et al.. (2016). Toolchain for user-centered intelligent floor heating control. VBN Forskningsportal (Aalborg Universitet). 5296–5301. 1 indexed citations
6.
David, Alexandre, Jin Hyun Kim, Kim G. Larsen, et al.. (2015). A reconfigurable framework for compositional schedulability and power analysis of hierarchical scheduling systems with frequency scaling. Science of Computer Programming. 113. 236–260. 6 indexed citations
7.
Bogomolov, Sergiy, et al.. (2015). Co-Simulation of Hybrid Systems with SpaceEx and Uppaal. Linköping electronic conference proceedings. 118. 159–169. 14 indexed citations
8.
David, Alexandre, et al.. (2014). Statistical model checking for biological systems. International Journal on Software Tools for Technology Transfer. 17(3). 351–367. 19 indexed citations
9.
David, Alexandre, Jin Hyun Kim, Kim G. Larsen, et al.. (2014). Degree of Schedulability of Mixed-Criticality Real-Time Systems with Probabilistic Sporadic Tasks. VBN Forskningsportal (Aalborg Universitet). 1. 126–130. 6 indexed citations
10.
David, Alexandre, et al.. (2012). Statistical Model Checking for Stochastic Hybrid Systems. SHILAP Revista de lepidopterología. 92. 122–136. 42 indexed citations
11.
David, Alexandre, Kim G. Larsen, Marius Mikučionis, et al.. (2012). UPPAAL-SMC: Statistical Model Checking for Priced Timed Automata. SHILAP Revista de lepidopterología. 85. 1–16. 64 indexed citations
12.
David, Alexandre, Dehui Du, Kim G. Larsen, Marius Mikučionis, & Arne Skou. (2012). An evaluation framework for energy aware buildings using statistical model checking. Science China Information Sciences. 55(12). 2694–2707. 26 indexed citations
13.
David, Alexandre, et al.. (2011). Distributed Parametric and Statistical Model Checking. SHILAP Revista de lepidopterología. 72. 30–42. 2 indexed citations
14.
Mikučionis, Marius, Kim G. Larsen, Brian Nielsen, & Arne Skou. (2005). Testing Real-Time Embedded Software using UppAal-TRON. 7 indexed citations
15.
Larsen, Kim G., Marius Mikučionis, Brian Nielsen, & Arne Skou. (2005). Testing real-time embedded software using UPPAAL-TRON. 299–306. 90 indexed citations
16.
Larsen, Kim G., Marius Mikučionis, & Brian Nielsen. (2004). Online Testing of Real-Time Systems Using UPPAAL: Status and Future Work.. VBN Forskningsportal (Aalborg Universitet). 0. 5 indexed citations
17.
Behrmann, Gerd, Brian Nielsen, & Marius Mikučionis. (2004). I takt med Tiden. 3 indexed citations
18.
Mikučionis, Marius, Kim G. Larsen, & Brian Nielsen. (2004). T-uppaal : online model-based testing of real-time systems. 396–397. 25 indexed citations
19.
Mikučionis, Marius, Kim G. Larsen, & Brian Nielsen. (2004). T-UPPAAL: online model-based testing of real-time systems. 396–397. 23 indexed citations
20.
Larsen, Kim G., Marius Mikučionis, & Brian Nielsen. (2003). Real-time system testing on-the-fly. VBN Forskningsportal (Aalborg Universitet). 9 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.

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