Eva Žáčeková

29 total papers · 910 total citations
24 papers, 748 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 24 papers receiving a total of 748 indexed citations (citations by other indexed papers that have themselves been cited), including 20 papers in Control and Systems Engineering, 16 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 (20 papers), Building Energy and Comfort Optimization (16 papers) and Control Systems and Identification (11 papers). Eva Žáčeková is often cited by papers focused on Advanced Control Systems Optimization (20 papers), Building Energy and Comfort Optimization (16 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

23 papers receiving 710 citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Eva Žáčeková 631 305 216 137 133 24 748
Zdeněk Váňa 691 1.1× 306 1.0× 239 1.1× 143 1.0× 150 1.1× 26 802
Brian Coffey 613 1.0× 345 1.1× 278 1.3× 132 1.0× 163 1.2× 20 824
Lukáš Ferkl 651 1.0× 336 1.1× 197 0.9× 164 1.2× 129 1.0× 31 876
Romain Bourdais 415 0.7× 381 1.2× 208 1.0× 61 0.4× 131 1.0× 40 740
Filip Jorissen 492 0.8× 194 0.6× 239 1.1× 92 0.7× 132 1.0× 26 621
Michaela Killian 511 0.8× 295 1.0× 314 1.5× 86 0.6× 167 1.3× 19 694
Josh Wall 452 0.7× 153 0.5× 207 1.0× 156 1.1× 103 0.8× 27 702
Meysam Razmara 482 0.8× 291 1.0× 389 1.8× 78 0.6× 147 1.1× 19 781
Charles D. Corbin 488 0.8× 212 0.7× 381 1.8× 140 1.0× 296 2.2× 15 780
Araz Ashouri 502 0.8× 126 0.4× 348 1.6× 182 1.3× 135 1.0× 28 736

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

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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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