Jason Runge

560 total citations
11 papers, 400 citations indexed

About

Jason Runge is a scholar working on Electrical and Electronic Engineering, Building and Construction and Control and Systems Engineering. According to data from OpenAlex, Jason Runge has authored 11 papers receiving a total of 400 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Electrical and Electronic Engineering, 8 papers in Building and Construction and 2 papers in Control and Systems Engineering. Recurrent topics in Jason Runge's work include Building Energy and Comfort Optimization (8 papers), Energy Load and Power Forecasting (5 papers) and Integrated Energy Systems Optimization (3 papers). Jason Runge is often cited by papers focused on Building Energy and Comfort Optimization (8 papers), Energy Load and Power Forecasting (5 papers) and Integrated Energy Systems Optimization (3 papers). Jason Runge collaborates with scholars based in Canada, Qatar and Germany. Jason Runge's co-authors include Radu Zmeureanu, Étienne Saloux, Kun Zhang, Hossam A. Gabbar, Hans-Günter Eckel, Farayi Musharavati, Bernd R. Oswald and Shaligram Pokharel and has published in prestigious journals such as Energy Conversion and Management, Energy and Energies.

In The Last Decade

Jason Runge

11 papers receiving 386 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Jason Runge Canada	7	257	214	92	81	58	11	400
Kevin M. Smith United States	5	330 1.3×	295 1.4×	87 0.9×	120 1.5×	72 1.2×	14	512
Alberto Hernandez Neto Brazil	5	271 1.1×	425 2.0×	120 1.3×	188 2.3×	53 0.9×	11	556
Llorenç Burgas Spain	9	240 0.9×	201 0.9×	41 0.4×	81 1.0×	50 0.9×	15	368
Radiša Jovanović Serbia	7	186 0.7×	187 0.9×	53 0.6×	98 1.2×	58 1.0×	33	362
Charles R. Upshaw United States	8	309 1.2×	228 1.1×	133 1.4×	48 0.6×	68 1.2×	12	489
Brodie W. Hobson Canada	9	160 0.6×	286 1.3×	54 0.6×	105 1.3×	35 0.6×	19	378
Anjukan Kathirgamanathan Ireland	6	296 1.2×	309 1.4×	120 1.3×	82 1.0×	33 0.6×	8	446
Sundaravelpandian Singaravel Belgium	7	83 0.3×	319 1.5×	42 0.5×	153 1.9×	46 0.8×	9	446
Jian Qi Wang China	4	186 0.7×	84 0.4×	34 0.4×	49 0.6×	66 1.1×	5	303
Novak Nikolić Serbia	8	139 0.5×	138 0.6×	120 1.3×	74 0.9×	55 0.9×	17	318

Countries citing papers authored by Jason Runge

Since Specialization

Citations

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

Fields of papers citing papers by Jason Runge

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jason Runge

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

All Works

Sort: Min cites: Since: Top N: Style:

11 of 11 papers shown

Runge, Jason & Étienne Saloux. (2023). A comparison of prediction and forecasting artificial intelligence models to estimate the future energy demand in a district heating system. Energy. 269. 126661–126661. 62 indexed citations

Saloux, Étienne, Jason Runge, & Kun Zhang. (2023). Operation optimization of multi-boiler district heating systems using artificial intelligence-based model predictive control: Field demonstrations. Energy. 285. 129524–129524. 18 indexed citations

Runge, Jason & Radu Zmeureanu. (2022). Deep learning forecasting for electric demand applications of cooling systems in buildings. Advanced Engineering Informatics. 53. 101674–101674. 16 indexed citations

Runge, Jason & Radu Zmeureanu. (2021). A Review of Deep Learning Techniques for Forecasting Energy Use in Buildings. Energies. 14(3). 608–608. 74 indexed citations

Runge, Jason, et al.. (2019). Hybrid short-term forecasting of the electric demand of supply fans using machine learning. Journal of Building Engineering. 29. 101144–101144. 24 indexed citations

Runge, Jason & Radu Zmeureanu. (2019). Forecasting Energy Use in Buildings Using Artificial Neural Networks: A Review. Energies. 12(17). 3254–3254. 192 indexed citations

Gabbar, Hossam A., et al.. (2016). Evaluation of renewable energy deployment scenarios for building energy management. AIMS energy. 4(5). 742–761. 2 indexed citations

Gabbar, Hossam A., et al.. (2015). Performance evaluation of gas-power strategies for building energy conservation. Energy Conversion and Management. 93. 187–196. 6 indexed citations

Runge, Jason & Hossam A. Gabbar. (2014). Solar windows control system for an apartment building in Toronto with battery storage. 295–300. 1 indexed citations

10.

Eckel, Hans-Günter & Jason Runge. (2011). Comparison of the semiconductor losses in self commutated inverter topologies for HVDC. European Conference on Power Electronics and Applications. 1–8. 4 indexed citations

11.

Runge, Jason & Bernd R. Oswald. (2004). Modelling of a controlled doubly fed induction machine for the use in offshore wind power plants. 3. 1155–1159. 1 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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