Sven Eggimann

1.2k total citations
27 papers, 803 citations indexed

About

Sven Eggimann is a scholar working on Environmental Engineering, Building and Construction and Electrical and Electronic Engineering. According to data from OpenAlex, Sven Eggimann has authored 27 papers receiving a total of 803 indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Environmental Engineering, 14 papers in Building and Construction and 10 papers in Electrical and Electronic Engineering. Recurrent topics in Sven Eggimann's work include Building Energy and Comfort Optimization (10 papers), Integrated Energy Systems Optimization (7 papers) and Wind and Air Flow Studies (6 papers). Sven Eggimann is often cited by papers focused on Building Energy and Comfort Optimization (10 papers), Integrated Energy Systems Optimization (7 papers) and Wind and Air Flow Studies (6 papers). Sven Eggimann collaborates with scholars based in Switzerland, United Kingdom and Denmark. Sven Eggimann's co-authors include Max Maurer, Bernhard Truffer, Martin Rüdisüli, Omar Wani, Mariane Yvonne Schneider, Matthew Moy de Vitry, Robin Mutschler, Kristina Orehounig, Dorothee Spuhler and Lena Mutzner and has published in prestigious journals such as Environmental Science & Technology, Water Research and Scientific Reports.

In The Last Decade

Sven Eggimann

26 papers receiving 789 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Sven Eggimann Switzerland	15	298	205	169	162	140	27	803
Daniel Słyś Poland	19	444 1.5×	238 1.2×	226 1.3×	67 0.4×	172 1.2×	74	887
Sabina Kordana-Obuch Poland	16	244 0.8×	213 1.0×	143 0.8×	52 0.3×	109 0.8×	34	599
Claudia Agudelo-Vera Netherlands	11	192 0.6×	80 0.4×	127 0.8×	34 0.2×	78 0.6×	18	538
Abel Silva Vieira Australia	14	177 0.6×	111 0.5×	201 1.2×	103 0.6×	48 0.3×	24	623
Cong Dong Canada	16	147 0.5×	47 0.2×	340 2.0×	150 0.9×	165 1.2×	47	801
Shan Guo China	16	803 2.7×	249 1.2×	137 0.8×	52 0.3×	118 0.8×	37	1.1k
Rembrandt Koppelaar United Kingdom	15	179 0.6×	88 0.4×	253 1.5×	216 1.3×	60 0.4×	21	1.1k
Yuzhou Tang China	14	235 0.8×	148 0.7×	40 0.2×	145 0.9×	40 0.3×	33	762
Xian’en Wang China	17	361 1.2×	73 0.4×	79 0.5×	44 0.3×	107 0.8×	37	865

Countries citing papers authored by Sven Eggimann

Since Specialization

Citations

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

Fields of papers citing papers by Sven Eggimann

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Sven Eggimann

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

All Works

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20 of 20 papers shown

Eggimann, Sven & Massimo Fiorentini. (2024). Transferring energy signatures across space and time to assess their viability for rapid urban energy demand estimation. Energy and Buildings. 316. 114348–114348. 4 indexed citations

Eggimann, Sven. (2024). Deprioritising cars beyond rerouting: Future research directions of the Barcelona Superblock. Cities. 157. 105609–105609. 1 indexed citations

Eggimann, Sven, Robin Mutschler, Kristina Orehounig, & Massimo Fiorentini. (2023). Climate change shifts the trade-off between lower cooling and higher heating demand from daylight saving time in office buildings. Environmental Research Letters. 18(2). 24001–24001. 4 indexed citations

Chaudry, Modassar, et al.. (2023). Simulating flexibility, variability and decentralisation with an integrated energy system model for Great Britain. Scientific Reports. 13(1). 4772–4772. 5 indexed citations

Eggimann, Sven, Jacopo Vivian, & Massimo Fiorentini. (2023). Heating and cooling European buildings with lakes?. Europhysics news. 54(3). 16–19. 1 indexed citations

Orehounig, Kristina, et al.. (2022). CESAR-P: A dynamic urban building energy simulationtool. The Journal of Open Source Software. 7(78). 4261–4261. 14 indexed citations

Eggimann, Sven. (2022). The potential of implementing superblocks for multifunctional street use in cities. Nature Sustainability. 5(5). 406–414. 53 indexed citations

Eggimann, Sven. (2022). Expanding urban green space with superblocks. Land Use Policy. 117. 106111–106111. 16 indexed citations

Rüdisüli, Martin, Elliot Romano, Sven Eggimann, & M. Patel. (2022). Decarbonization strategies for Switzerland considering embedded greenhouse gas emissions in electricity imports. Energy Policy. 162. 112794–112794. 29 indexed citations

10.

Eggimann, Sven, et al.. (2021). Geospatial simulation of urban neighbourhood densification potentials. Sustainable Cities and Society. 72. 103068–103068. 19 indexed citations

11.

Eggimann, Sven, et al.. (2021). Evaluating superblock design to enhance urban greening. Journal of Physics Conference Series. 2042(1). 12005–12005. 3 indexed citations

12.

Mutschler, Robin, Martin Rüdisüli, Philipp Heer, & Sven Eggimann. (2021). Benchmarking cooling and heating energy demands considering climate change, population growth and cooling device uptake. Applied Energy. 288. 116636–116636. 85 indexed citations

13.

Eggimann, Sven, Will Usher, Nick Eyre, & Jim W. Hall. (2020). How weather affects energy demand variability in the transition towards sustainable heating. Energy. 195. 116947–116947. 22 indexed citations

14.

Vitry, Matthew Moy de, et al.. (2019). Smart urban water systems: what could possibly go wrong?. Environmental Research Letters. 14(8). 81001–81001. 35 indexed citations

15.

Eggimann, Sven, Jim W. Hall, & Nick Eyre. (2018). A high-resolution spatio-temporal energy demand simulation to explore the potential of heating demand side management with large-scale heat pump diffusion. Applied Energy. 236. 997–1010. 41 indexed citations

16.

Eggimann, Sven, et al.. (2018). Screening European market potentials for small modular wastewater treatment systems – an inroad to sustainability transitions in urban water management?. Land Use Policy. 78. 711–725. 27 indexed citations

17.

Eggimann, Sven, Lena Mutzner, Omar Wani, et al.. (2017). The Potential of Knowing More: A Review of Data-Driven Urban Water Management. Environmental Science & Technology. 51(5). 2538–2553. 183 indexed citations

18.

Eggimann, Sven, Bernhard Truffer, & Max Maurer. (2016). The cost of hybrid waste water systems: A systematic framework for specifying minimum cost-connection rates. Water Research. 103. 472–484. 29 indexed citations

19.

Eggimann, Sven, Bernhard Truffer, & Max Maurer. (2016). Economies of density for on-site waste water treatment. Water Research. 101. 476–489. 41 indexed citations

20.

Eggimann, Sven, Bernhard Truffer, & Max Maurer. (2015). To connect or not to connect? Modelling the optimal degree of centralisation for wastewater infrastructures. Water Research. 84. 218–231. 84 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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