Eva Žáčeková

912 total citations
23 papers, 752 citations indexed

About

Eva Žáčeková is a scholar working on Control and Systems Engineering, Building and Construction and Renewable Energy, Sustainability and the Environment. According to data from OpenAlex, Eva Žáčeková has authored 23 papers receiving a total of 752 indexed citations (citations by other indexed papers that have themselves been cited), including 19 papers in Control and Systems Engineering, 15 papers in Building and Construction and 4 papers in Renewable Energy, Sustainability and the Environment. Recurrent topics in Eva Žáčeková's work include Advanced Control Systems Optimization (19 papers), Building Energy and Comfort Optimization (15 papers) and Control Systems and Identification (11 papers). Eva Žáčeková is often cited by papers focused on Advanced Control Systems Optimization (19 papers), Building Energy and Comfort Optimization (15 papers) and Control Systems and Identification (11 papers). Eva Žáčeková collaborates with scholars based in Czechia, United States and Switzerland. Eva Žáčeková's co-authors include Zdeněk Váňa, Jiří Cigler, Samuel Prívara, Frauke Oldewurtel, Carina Sagerschnig, Lukáš Ferkl, Michael Šebek, Ján Široký, Sergej Čelikovský and Rush D. Robinett and has published in prestigious journals such as Applied Energy, Energy and Buildings and Journal of the Franklin Institute.

In The Last Decade

Eva Žáčeková

22 papers receiving 714 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Eva Žáčeková Czechia 10 638 304 215 138 134 23 752
Zdeněk Váňa Czechia 11 698 1.1× 304 1.0× 238 1.1× 144 1.0× 151 1.1× 25 806
Anthony Kelman United States 8 448 0.7× 296 1.0× 215 1.0× 77 0.6× 105 0.8× 10 609
Romain Bourdais France 12 415 0.7× 381 1.3× 208 1.0× 61 0.4× 132 1.0× 40 745
Iago Cupeiro Figueroa Belgium 6 478 0.7× 199 0.7× 230 1.1× 119 0.9× 173 1.3× 9 631
Filip Jorissen Belgium 12 496 0.8× 196 0.6× 242 1.1× 93 0.7× 132 1.0× 26 629
Michaela Killian Austria 12 516 0.8× 295 1.0× 314 1.5× 86 0.6× 167 1.2× 19 698
Roel De Coninck Belgium 13 745 1.2× 230 0.8× 569 2.6× 143 1.0× 293 2.2× 22 994
Ion Hazyuk France 7 376 0.6× 114 0.4× 118 0.5× 115 0.8× 76 0.6× 15 476
Didier Dumur France 10 263 0.4× 280 0.9× 96 0.4× 39 0.3× 40 0.3× 25 460
Petru-Daniel Moroşan France 6 286 0.4× 210 0.7× 105 0.5× 42 0.3× 38 0.3× 6 388

Countries citing papers authored by Eva Žáčeková

Since Specialization
Citations

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

Fields of papers citing papers by Eva Žáčeková

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Eva Žáčeková

This figure shows the co-authorship network connecting the top 25 collaborators of Eva Žáčeková. A scholar is included among the top collaborators of Eva Žáčeková 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 Eva Žáčeková. Eva Žáčeková 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.
Žáčeková, Eva, et al.. (2019). Zone MPC with guaranteed identifiability in presence of predictable disturbances. Journal of the Franklin Institute. 357(2). 978–1001. 1 indexed citations
2.
Žáčeková, Eva, et al.. (2017). Toward a Smart Car: Hybrid Nonlinear Predictive Controller With Adaptive Horizon. IEEE Transactions on Control Systems Technology. 26(6). 1970–1981. 8 indexed citations
3.
Žáčeková, Eva, et al.. (2016). Bridging the gap between the linear and nonlinear predictive control: Adaptations for efficient building climate control. Control Engineering Practice. 53. 124–138. 18 indexed citations
4.
Žáčeková, Eva, et al.. (2015). Identification and energy efficient control for a building: Getting inspired by MPC. Digital Commons - Michigan Tech (Michigan Technological University). 1671–1676. 6 indexed citations
5.
Žáčeková, Eva, et al.. (2014). On Satisfaction of the Persistent Excitation Condition for the Zone MPC: Numerical Approach. IFAC Proceedings Volumes. 47(3). 2848–2853. 3 indexed citations
6.
Žáčeková, Eva, et al.. (2014). From Linear to Nonlinear Model Predictive Control of a Building. IFAC Proceedings Volumes. 47(3). 587–592. 5 indexed citations
7.
Žáčeková, Eva, Zdeněk Váňa, & Jiří Cigler. (2014). Towards the real-life implementation of MPC for an office building: Identification issues. Applied Energy. 135. 53–62. 90 indexed citations
8.
9.
Váňa, Zdeněk, Jiří Cigler, Ján Široký, Eva Žáčeková, & Lukáš Ferkl. (2014). Model-based energy efficient control applied to an office building. Journal of Process Control. 24(6). 790–797. 53 indexed citations
10.
Žáčeková, Eva, Zdeněk Váňa, Clara Verhelst, et al.. (2013). Identification for model based predictive control applied to an office building with a thermally activated building systems. 2430–2439. 3 indexed citations
11.
Žáčeková, Eva, et al.. (2013). Persistent excitation condition within the dual control framework. Journal of Process Control. 23(9). 1270–1280. 20 indexed citations
12.
Váňa, Zdeněk, Samuel Prívara, Eva Žáčeková, & Jiří Cigler. (2013). Building semi-physical modeling: On selection of the model complexity. 3955–3960. 5 indexed citations
13.
Žáčeková, Eva, Samuel Prívara, & Josef Komárek. (2012). On dual control for buildings using persistent excitation condition. 2158–2163. 2 indexed citations
14.
Žáčeková, Eva & Lukáš Ferkl. (2012). Building modeling and control using multi-step ahead error minimization. 421–426. 2 indexed citations
15.
Prívara, Samuel, Jiří Cigler, Zdeněk Váňa, et al.. (2012). Building modeling as a crucial part for building predictive control. Energy and Buildings. 56. 8–22. 289 indexed citations
16.
Žáčeková, Eva & Samuel Prívara. (2012). Control relevant identification and predictive control of a building. 246–251. 11 indexed citations
17.
Prívara, Samuel, Jiří Cigler, Zdeněk Váňa, Frauke Oldewurtel, & Eva Žáčeková. (2012). Use of partial least squares within the control relevant identification for buildings. Control Engineering Practice. 21(1). 113–121. 32 indexed citations
18.
Cigler, Jiří, Samuel Prívara, Zdeněk Váňa, Eva Žáčeková, & Lukáš Ferkl. (2012). Optimization of Predicted Mean Vote index within Model Predictive Control framework: Computationally tractable solution. Energy and Buildings. 52. 39–49. 87 indexed citations
19.
Prívara, Samuel, Zdeněk Váňa, Eva Žáčeková, & Jiří Cigler. (2012). Building modeling: Selection of the most appropriate model for predictive control. Energy and Buildings. 55. 341–350. 79 indexed citations
20.
Žáčeková, Eva, Samuel Prívara, & Zdeněk Váňa. (2011). Model predictive control relevant identification using partial least squares for building modeling. 422–427. 22 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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