Stephen Frank

1.8k total citations · 1 hit paper
35 papers, 1.3k citations indexed

About

Stephen Frank is a scholar working on Electrical and Electronic Engineering, Building and Construction and Control and Systems Engineering. According to data from OpenAlex, Stephen Frank has authored 35 papers receiving a total of 1.3k indexed citations (citations by other indexed papers that have themselves been cited), including 18 papers in Electrical and Electronic Engineering, 12 papers in Building and Construction and 10 papers in Control and Systems Engineering. Recurrent topics in Stephen Frank's work include Building Energy and Comfort Optimization (12 papers), Smart Grid Energy Management (5 papers) and Advanced Battery Technologies Research (4 papers). Stephen Frank is often cited by papers focused on Building Energy and Comfort Optimization (12 papers), Smart Grid Energy Management (5 papers) and Advanced Battery Technologies Research (4 papers). Stephen Frank collaborates with scholars based in United States and Finland. Stephen Frank's co-authors include Steffen Rebennack, Ingrida Steponavičė, Salman Mohagheghi, Jang-Hyun Kim, Xin Jin, Eric Bonnema, Eric Wilson, Pankaj K. Sen, James E. Braun and Matt Leach and has published in prestigious journals such as Renewable and Sustainable Energy Reviews, European Journal of Operational Research and IEEE Transactions on Power Systems.

In The Last Decade

Stephen Frank

35 papers receiving 1.3k citations

Hit Papers

Optimal power flow: a bibliographic survey I 2012 2026 2016 2021 2012 100 200 300

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Stephen Frank United States 15 1.0k 529 156 105 71 35 1.3k
Wenpeng Luan China 18 969 0.9× 493 0.9× 109 0.7× 78 0.7× 29 0.4× 76 1.2k
Chengjin Ye China 18 865 0.8× 358 0.7× 61 0.4× 128 1.2× 118 1.7× 66 1.1k
Duane Robinson Australia 17 812 0.8× 405 0.8× 138 0.9× 57 0.5× 53 0.7× 110 1.1k
Ubiratan Holanda Bezerra Brazil 17 926 0.9× 504 1.0× 58 0.4× 99 0.9× 45 0.6× 107 1.2k
Mojtaba Jabbari Ghadi Australia 19 1.1k 1.1× 506 1.0× 57 0.4× 106 1.0× 62 0.9× 43 1.3k
Juan Camilo López Brazil 19 1.2k 1.2× 782 1.5× 76 0.5× 133 1.3× 119 1.7× 76 1.3k
Yixin Yu China 23 1.5k 1.5× 743 1.4× 87 0.6× 254 2.4× 32 0.5× 107 1.7k
Dechang Yang China 17 762 0.7× 444 0.8× 39 0.3× 60 0.6× 43 0.6× 74 933
Yan Xia China 12 794 0.8× 584 1.1× 31 0.2× 77 0.7× 36 0.5× 33 1.2k
Qun Zhou United States 14 540 0.5× 281 0.5× 95 0.6× 74 0.7× 19 0.3× 44 747

Countries citing papers authored by Stephen Frank

Since Specialization
Citations

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

Fields of papers citing papers by Stephen Frank

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Stephen Frank

This figure shows the co-authorship network connecting the top 25 collaborators of Stephen Frank. A scholar is included among the top collaborators of Stephen Frank 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 Stephen Frank. Stephen Frank 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.
Frank, Stephen, et al.. (2025). Experimental validation of a co-simulation architecture for modeling whole-building and detailed electrical distribution performance. Energy and Buildings. 344. 115917–115917. 1 indexed citations
2.
Kim, Jang-Hyun, et al.. (2025). Performance evaluation of automated data-driven feature extraction and selection methods for practical and scalable building energy consumption prediction models. Journal of Building Engineering. 103. 112045–112045. 1 indexed citations
3.
Frank, Stephen, et al.. (2023). A Modeling Toolkit for Comparing AC and DC Electrical Distribution Efficiency in Buildings. Energies. 16(7). 3001–3001. 4 indexed citations
4.
Frank, Stephen, et al.. (2023). Advances in the Co-Simulation of Detailed Electrical and Whole-Building Energy Performance. Energies. 16(17). 6284–6284. 2 indexed citations
5.
Duggan, Gerald P., et al.. (2021). Endpoint Use Efficiency Comparison for AC and DC Power Distribution in Commercial Buildings. Energies. 14(18). 5863–5863. 6 indexed citations
6.
Gerber, Dániel, et al.. (2021). Direct-DC Power in Buildings: Identifying the Best Applications Today for Tomorrow’s Building Sector. eScholarship (California Digital Library). 3 indexed citations
7.
Gerber, Dániel, Fariborz Musavi, Stephen Frank, et al.. (2021). A Comprehensive Loss Model and Comparison of AC and DC Boost Converters. Energies. 14(11). 3131–3131. 6 indexed citations
8.
Frank, Stephen, et al.. (2020). Wattile: Probabilistic Deep Learning-based Forecasting of Building Energy Consumption [SWR-20-94]. OSTI OAI (U.S. Department of Energy Office of Scientific and Technical Information). 1 indexed citations
9.
Frank, Stephen, et al.. (2019). A performance evaluation framework for building fault detection and diagnosis algorithms. Energy and Buildings. 192. 84–92. 32 indexed citations
10.
Singh, Bhim, Dániel Gerber, Stephen Frank, et al.. (2019). Comparison of Load Models for Estimating Electrical Efficiency in DC Microgrids. OSTI OAI (U.S. Department of Energy Office of Scientific and Technical Information). 1–9. 4 indexed citations
11.
Kim, Jang-Hyun, et al.. (2019). Representing Small Commercial Building Faults in EnergyPlus, Part II: Model Validation. Buildings. 9(12). 239–239. 17 indexed citations
12.
Frank, Stephen, Xin Jin, Joseph Robertson, et al.. (2016). Hybrid Model-Based and Data-Driven Fault Detection and Diagnostics for Commercial Buildings: Preprint. OSTI OAI (U.S. Department of Energy Office of Scientific and Technical Information). 14 indexed citations
13.
Frank, Stephen, et al.. (2015). A comparative study of DC and AC microgrids in commercial buildings across different climates and operating profiles. OSTI OAI (U.S. Department of Energy Office of Scientific and Technical Information). 159–164. 109 indexed citations
14.
Frank, Stephen & Steffen Rebennack. (2014). Optimal design of mixed AC–DC distribution systems for commercial buildings: A Nonconvex Generalized Benders Decomposition approach. European Journal of Operational Research. 242(3). 710–729. 43 indexed citations
15.
Frank, Stephen, et al.. (2013). Temperature-Dependent Power Flow. IEEE Transactions on Power Systems. 28(4). 4007–4018. 83 indexed citations
16.
Frank, Stephen, Ingrida Steponavičė, & Steffen Rebennack. (2012). Optimal power flow: a bibliographic survey II. Energy Systems. 3(3). 259–289. 232 indexed citations
17.
18.
Frank, Stephen. (2007). Optimal design of mixed AC-DC distribution systems for commercial buildings. Digital Collections of Colorado (Colorado State University). 1 indexed citations
19.
Frank, Stephen, et al.. (1993). THE U.S. AIR TRAFFIC CONTROL SYSTEM WRESTLES WITH THE INFLUENCE OF TCAS.. 1 indexed citations
20.
Schonfeld, Paul & Stephen Frank. (1984). OPTIMIZING THE USE OF A CONTAINERSHIP BERTH. Transportation Research Record Journal of the Transportation Research Board. 4 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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