Kai Knobloch

519 total citations
9 papers, 353 citations indexed

About

Kai Knobloch is a scholar working on Mechanical Engineering, Renewable Energy, Sustainability and the Environment and Statistical and Nonlinear Physics. According to data from OpenAlex, Kai Knobloch has authored 9 papers receiving a total of 353 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Mechanical Engineering, 4 papers in Renewable Energy, Sustainability and the Environment and 2 papers in Statistical and Nonlinear Physics. Recurrent topics in Kai Knobloch's work include Phase Change Materials Research (4 papers), Adsorption and Cooling Systems (4 papers) and Thermodynamic and Exergetic Analyses of Power and Cooling Systems (4 papers). Kai Knobloch is often cited by papers focused on Phase Change Materials Research (4 papers), Adsorption and Cooling Systems (4 papers) and Thermodynamic and Exergetic Analyses of Power and Cooling Systems (4 papers). Kai Knobloch collaborates with scholars based in Denmark, United Kingdom and Italy. Kai Knobloch's co-authors include Kurt Engelbrecht, Adriano Sciacovelli, Andrea Vecchi, Ting Liang, Yulong Ding, Yongliang Li, C.R.H. Bahl, Thomas Ulrich, Meng Yuan and Peter Sorknæs and has published in prestigious journals such as Renewable and Sustainable Energy Reviews, Applied Energy and Energy.

In The Last Decade

Kai Knobloch

9 papers receiving 331 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Kai Knobloch Denmark 7 287 126 72 59 44 9 353
Henning Jockenhöfer Germany 6 367 1.3× 172 1.4× 81 1.1× 68 1.2× 66 1.5× 6 422
Gareth Brett United Kingdom 4 366 1.3× 107 0.8× 91 1.3× 81 1.4× 67 1.5× 5 425
Pau Farres-Antunez United Kingdom 8 348 1.2× 139 1.1× 80 1.1× 79 1.3× 86 2.0× 8 413
Piotr Kolasiński Poland 15 475 1.7× 119 0.9× 94 1.3× 30 0.5× 57 1.3× 48 559
Yecong He China 5 230 0.8× 71 0.6× 63 0.9× 102 1.7× 103 2.3× 14 334
Václav Novotný Czechia 14 452 1.6× 126 1.0× 103 1.4× 42 0.7× 65 1.5× 39 521
Xuqing Yang China 8 427 1.5× 77 0.6× 134 1.9× 41 0.7× 57 1.3× 11 464
Juwei Lou China 12 324 1.1× 108 0.9× 93 1.3× 47 0.8× 74 1.7× 31 441
Giuseppe Leo Guizzi Italy 7 331 1.2× 99 0.8× 72 1.0× 65 1.1× 110 2.5× 16 445
Lukas Geissbühler Switzerland 8 365 1.3× 179 1.4× 37 0.5× 45 0.8× 50 1.1× 13 450

Countries citing papers authored by Kai Knobloch

Since Specialization
Citations

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

Fields of papers citing papers by Kai Knobloch

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Kai Knobloch

This figure shows the co-authorship network connecting the top 25 collaborators of Kai Knobloch. A scholar is included among the top collaborators of Kai Knobloch 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 Kai Knobloch. Kai Knobloch is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

9 of 9 papers shown
1.
Knobloch, Kai, et al.. (2024). Dynamic simulation and experimental validation of a 35 MW heat pump based on a transcritical CO2 cycle. Energy. 294. 130897–130897. 7 indexed citations
2.
Serrano, María Isabel Roldán, Kai Knobloch, Stefano Giuliano, Kurt Engelbrecht, & Tobias Hirsch. (2023). Retrofit of a coal-fired power plant with a rock bed thermal energy storage. Journal of Energy Storage. 75. 109238–109238. 4 indexed citations
3.
Sorknæs, Peter, Jakob Zinck Thellufsen, Kai Knobloch, Kurt Engelbrecht, & Meng Yuan. (2023). Economic potentials of carnot batteries in 100% renewable energy systems. Energy. 282. 128837–128837. 24 indexed citations
4.
Saini, Puneet, et al.. (2023). Rock bed thermal energy storage coupled with solar thermal collectors in an industrial application: Simulation, experimental and parametric analysis. Journal of Energy Storage. 67. 107349–107349. 14 indexed citations
5.
Knobloch, Kai, et al.. (2022). Thermocline thermal storage modeling towards its predictive optimal management. Journal of Energy Storage. 52. 104979–104979. 6 indexed citations
6.
Knobloch, Kai, Thomas Ulrich, C.R.H. Bahl, & Kurt Engelbrecht. (2022). Degradation of a rock bed thermal energy storage system. Applied Thermal Engineering. 214. 118823–118823. 29 indexed citations
7.
Knobloch, Kai, et al.. (2022). A partially underground rock bed thermal energy storage with a novel air flow configuration. Applied Energy. 315. 118931–118931. 29 indexed citations
8.
Liang, Ting, Andrea Vecchi, Kai Knobloch, et al.. (2022). Key components for Carnot Battery: Technology review, technical barriers and selection criteria. Renewable and Sustainable Energy Reviews. 163. 112478–112478. 124 indexed citations
9.
Vecchi, Andrea, Kai Knobloch, Ting Liang, et al.. (2022). Carnot Battery development: A review on system performance, applications and commercial state-of-the-art. Journal of Energy Storage. 55. 105782–105782. 116 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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