Gerald Schweiger

1.6k total citations
42 papers, 1.1k citations indexed

About

Gerald Schweiger is a scholar working on Electrical and Electronic Engineering, Building and Construction and Renewable Energy, Sustainability and the Environment. According to data from OpenAlex, Gerald Schweiger has authored 42 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 19 papers in Electrical and Electronic Engineering, 17 papers in Building and Construction and 10 papers in Renewable Energy, Sustainability and the Environment. Recurrent topics in Gerald Schweiger's work include Building Energy and Comfort Optimization (14 papers), Integrated Energy Systems Optimization (13 papers) and Smart Grid Energy Management (9 papers). Gerald Schweiger is often cited by papers focused on Building Energy and Comfort Optimization (14 papers), Integrated Energy Systems Optimization (13 papers) and Smart Grid Energy Management (9 papers). Gerald Schweiger collaborates with scholars based in Austria, Denmark and United States. Gerald Schweiger's co-authors include Patrick Lauenburg, Fredrik Magnusson, Stéphane Velut, Saeed Safikhani, Johanna Pirker, Karin Ericsson, Michael Wetter, Lieve Helsen, Cláudio Gomes and Alfred Posch and has published in prestigious journals such as Proceedings of the National Academy of Sciences, PLoS ONE and Energy Conversion and Management.

In The Last Decade

Gerald Schweiger

41 papers receiving 1.1k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Gerald Schweiger Austria 16 576 535 291 149 139 42 1.1k
Fréderic Würtz France 18 827 1.4× 290 0.5× 151 0.5× 249 1.7× 93 0.7× 101 1.2k
R. Lamedica Italy 20 1.3k 2.3× 285 0.5× 220 0.8× 370 2.5× 112 0.8× 117 1.9k
Pervez Hameed Shaikh Pakistan 17 582 1.0× 731 1.4× 405 1.4× 177 1.2× 236 1.7× 39 1.5k
Robert H. Dodier United States 17 374 0.6× 477 0.9× 114 0.4× 153 1.0× 146 1.1× 27 1.1k
Dragan Cvetković Serbia 14 162 0.3× 250 0.5× 105 0.4× 95 0.6× 124 0.9× 49 735
Bruce Nordman United States 22 1.4k 2.5× 250 0.5× 99 0.3× 322 2.2× 80 0.6× 51 2.1k
Mohamed Tabaa Morocco 14 354 0.6× 230 0.4× 132 0.5× 120 0.8× 119 0.9× 89 945
Thierry Stephane Nouidui United States 16 320 0.6× 765 1.4× 190 0.7× 258 1.7× 225 1.6× 30 1.2k
Thamer‎ Alquthami Saudi Arabia 20 716 1.2× 93 0.2× 187 0.6× 346 2.3× 48 0.3× 44 1.1k
Brian Dougherty United States 20 484 0.8× 237 0.4× 528 1.8× 47 0.3× 97 0.7× 60 1.4k

Countries citing papers authored by Gerald Schweiger

Since Specialization
Citations

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

Fields of papers citing papers by Gerald Schweiger

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Gerald Schweiger

This figure shows the co-authorship network connecting the top 25 collaborators of Gerald Schweiger. A scholar is included among the top collaborators of Gerald Schweiger 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 Gerald Schweiger. Gerald Schweiger 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.
Horn, Martin, et al.. (2024). Predictive building energy management with user feedback in the loop. 16. 100164–100164. 2 indexed citations
2.
Hirsch, Thomas, et al.. (2024). Neural Network-based Occupancy Detection on the Edge. 10.
3.
Schweiger, Gerald, Adrian Barnett, Peter van den Besselaar, et al.. (2024). The costs of competition in distributing scarce research funds. Proceedings of the National Academy of Sciences. 121(50). e2407644121–e2407644121. 5 indexed citations
4.
Safikhani, Saeed, et al.. (2024). Project Beyond: An Escape Room Game in Virtual Reality to Teach Building Energy Simulations. 1–8. 3 indexed citations
5.
Schweiger, Gerald. (2023). Can’t We Do Better? A cost-benefit analysis of proposal writing in a competitive funding environment. PLoS ONE. 18(4). e0282320–e0282320. 4 indexed citations
6.
Schweiger, Gerald, et al.. (2023). SHP2SIM: a python pipeline for Modelica based district and urban scale energy simulations. International Journal of Sustainable Energy. 42(1). 1028–1041. 1 indexed citations
7.
Schweiger, Gerald, et al.. (2022). Learning Non-linear White-box Predictors: A Use Case in Energy Systems. 4. 507–512. 3 indexed citations
8.
Hopfe, Christina J., et al.. (2022). A NO VEL CONCEPT FOR VIRTUAL REALITY ENHANCED BUILDING ENERGY MODELLING. 1 indexed citations
9.
Schweiger, Gerald, Ján Drgoňa, Cláudio Gomes, et al.. (2022). Constructing Neural Network Based Models for Simulating Dynamical Systems. ACM Computing Surveys. 55(11). 1–34. 71 indexed citations
10.
Kümpel, Alexander, et al.. (2022). IoT Middleware Platforms for Smart Energy Systems: An Empirical Expert Survey. Buildings. 12(5). 526–526. 19 indexed citations
11.
Safikhani, Saeed, et al.. (2022). Immersive virtual reality for extending the potential of building information modeling in architecture, engineering, and construction sector: systematic review. International Journal of Digital Earth. 15(1). 503–526. 91 indexed citations
12.
Häfele, Karl‐Heinz, et al.. (2021). Information modelling for urban building energy simulation—A taxonomic review. Building and Environment. 208. 108552–108552. 64 indexed citations
13.
Drgoňa, Ján, et al.. (2021). Energy prediction under changed demand conditions: robust machine learning models and input feature combinations. Building Simulation Conference proceedings. 17. 8 indexed citations
14.
Schweiger, Gerald, et al.. (2020). Co-Simulation - An Empirical Survey: Applications, Recent Developments and Future Challenges. SNE Simulation Notes Europe. 30(2). 73–76. 2 indexed citations
15.
Schweiger, Gerald, et al.. (2019). Functional Mock-up Interface: An empirical survey identifies research challenges and current barriers. Linköping electronic conference proceedings. 154. 138–146. 17 indexed citations
16.
Wetter, Michael, Christoph van Treeck, Lieve Helsen, et al.. (2019). IBPSA Project 1: BIM/GIS and Modelica framework for building and community energy system design and operation – ongoing developments, lessons learned and challenges. IOP Conference Series Earth and Environmental Science. 323(1). 12114–12114. 41 indexed citations
17.
Schweiger, Gerald, et al.. (2018). Co-Simulation – an Empirical Survey: Applications, Recent Developments and Future Challenges. 125–126. 3 indexed citations
18.
Schweiger, Gerald, Richard Heimrath, Peter Josef Nageler, et al.. (2018). District energy systems: Modelling paradigms and general-purpose tools. Energy. 164. 1326–1340. 55 indexed citations
19.
Heijde, Bram van der, Marcus Fuchs, Gerald Schweiger, et al.. (2017). Dynamic equation-based thermo-hydraulic pipe model for district heating and cooling systems. Energy Conversion and Management. 151. 158–169. 157 indexed citations
20.
Schweiger, Gerald, et al.. (2017). The potential of power-to-heat in Swedish district heating systems. Energy. 137. 661–669. 91 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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