Philipp Staudt

1.0k total citations
58 papers, 669 citations indexed

About

Philipp Staudt is a scholar working on Electrical and Electronic Engineering, Automotive Engineering and Renewable Energy, Sustainability and the Environment. According to data from OpenAlex, Philipp Staudt has authored 58 papers receiving a total of 669 indexed citations (citations by other indexed papers that have themselves been cited), including 50 papers in Electrical and Electronic Engineering, 9 papers in Automotive Engineering and 7 papers in Renewable Energy, Sustainability and the Environment. Recurrent topics in Philipp Staudt's work include Smart Grid Energy Management (30 papers), Electric Power System Optimization (19 papers) and Electric Vehicles and Infrastructure (15 papers). Philipp Staudt is often cited by papers focused on Smart Grid Energy Management (30 papers), Electric Power System Optimization (19 papers) and Electric Vehicles and Infrastructure (15 papers). Philipp Staudt collaborates with scholars based in Germany, United States and Australia. Philipp Staudt's co-authors include Christof Weinhardt, Johannes Gärttner, Esther Mengelkamp, Nicole Ludwig, Dharik S. Mallapragada, Julian Huber, Shmuel S. Oren, Richard T. Watson, Sebastian Lehnhoff and M. J. Schaffer and has published in prestigious journals such as Renewable and Sustainable Energy Reviews, Applied Energy and Energy Policy.

In The Last Decade

Philipp Staudt

51 papers receiving 640 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Philipp Staudt Germany 14 565 152 131 98 79 58 669
Alejandro Pena-Bello Switzerland 11 634 1.1× 145 1.0× 213 1.6× 130 1.3× 81 1.0× 18 773
Georg Lettner Austria 17 638 1.1× 84 0.6× 162 1.2× 161 1.6× 70 0.9× 29 763
Samuli Honkapuro Finland 16 714 1.3× 67 0.4× 205 1.6× 206 2.1× 94 1.2× 121 934
Jan Martin Zepter Denmark 10 702 1.2× 142 0.9× 312 2.4× 100 1.0× 47 0.6× 30 777
Sonam Norbu United Kingdom 12 584 1.0× 66 0.4× 216 1.6× 138 1.4× 59 0.7× 21 823
Hanne Sæle Norway 11 506 0.9× 79 0.5× 195 1.5× 116 1.2× 22 0.3× 36 618
Cherrelle Eid Netherlands 9 867 1.5× 72 0.5× 298 2.3× 234 2.4× 49 0.6× 13 975
Benedikt Battke Switzerland 6 509 0.9× 266 1.8× 192 1.5× 60 0.6× 122 1.5× 6 698
Ángel Arcos-Vargas Spain 13 306 0.5× 45 0.3× 87 0.7× 73 0.7× 48 0.6× 38 446
Scott P. Burger United States 6 434 0.8× 40 0.3× 140 1.1× 115 1.2× 22 0.3× 7 525

Countries citing papers authored by Philipp Staudt

Since Specialization
Citations

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

Fields of papers citing papers by Philipp Staudt

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Philipp Staudt

This figure shows the co-authorship network connecting the top 25 collaborators of Philipp Staudt. A scholar is included among the top collaborators of Philipp Staudt 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 Philipp Staudt. Philipp Staudt 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.
Staudt, Philipp, et al.. (2025). Empirical case study of a digitally enabled energy community with prosumers and P2P trading. Energy Sustainability and Society. 15(1).
2.
Staudt, Philipp & David Dann. (2025). Perceived complexity and effectiveness of dynamic electricity rate designs for smart markets. Applied Energy. 394. 126042–126042.
3.
Staudt, Philipp, et al.. (2025). Review and morphological analysis of renewable power purchasing agreement types. Renewable and Sustainable Energy Reviews. 211. 115293–115293. 1 indexed citations
4.
Dietze, D., et al.. (2024). Empirical field evaluation of self-consumption promoting regulation of household battery energy storage systems. Energy Policy. 194. 114343–114343. 5 indexed citations
5.
Staudt, Philipp, et al.. (2024). How a Utility Company Established a Corporate Data Culture for Data-Driven Decision-Making. MIS Quarterly Executive. 19–35. 4 indexed citations
6.
Staudt, Philipp, et al.. (2024). Multi Power-Market Bidding: Stochastic Optimization and Reinforcement Learning. Proceedings of the ... Annual Hawaii International Conference on System Sciences. 2 indexed citations
7.
Staudt, Philipp, et al.. (2023). A data-driven Recommendation Tool for Sustainable Utility Service Bundles. Applied Energy. 353. 122137–122137. 2 indexed citations
8.
Schaffer, M. J., et al.. (2023). Bottom-up system modeling of battery storage requirements for integrated renewable energy systems. Applied Energy. 333. 120531–120531. 13 indexed citations
9.
Weidlich, Anke, et al.. (2023). Finding individual strategies for storage units in electricity market models using deep reinforcement learning. Energy Informatics. 6(S1). 7 indexed citations
10.
Staudt, Philipp. (2021). Interview with Rainer Hoffmann on “The Transformation Towards Artificial Intelligence of Electric Utilities”. Business & Information Systems Engineering. 63(3). 257–259. 1 indexed citations
11.
Staudt, Philipp, et al.. (2021). Infrastructural coupling of the electricity and gas distribution grid to reduce renewable energy curtailment. Applied Energy. 288. 116597–116597. 28 indexed citations
12.
Staudt, Philipp, et al.. (2020). Scaling the Concept of Citizen Energy Communities through a Platform-Based Decision Support System. Journal of the Association for Information Systems. 5 indexed citations
13.
Staudt, Philipp & Shmuel S. Oren. (2020). A Merchant Transmission Approach for Uniform-Price Electricity Markets. Proceedings of the ... Annual Hawaii International Conference on System Sciences. 3 indexed citations
14.
Ludwig, Nicole, et al.. (2020). Data analytics in the electricity sector – A quantitative and qualitative literature review. Energy and AI. 1. 100009–100009. 51 indexed citations
15.
Kosmalla, Felix, et al.. (2019). Sensor-based Human–Process Interaction in Discrete Manufacturing. 9(1). 21–37. 7 indexed citations
16.
Staudt, Philipp, et al.. (2019). Evaluating the importance and impact of user behavior on public destination charging of electric vehicles. Applied Energy. 258. 114061–114061. 53 indexed citations
17.
Staudt, Philipp, et al.. (2018). Predicting Redispatch in the German Electricity Market using Information Systems based on Machine Learning. Journal of the Association for Information Systems. 11 indexed citations
18.
Staudt, Philipp, Johannes Gärttner, Christof Weinhardt, Matías Negrete-Pincetic, & Álvaro Lorca. (2018). The Potential of Agent-Based Simulation for Assessing the Bilateral-Nodal Debate. 465–467. 1 indexed citations
19.
Staudt, Philipp, et al.. (2018). A decentralized approach towards resolving transmission grid congestion in Germany using vehicle-to-grid technology. Applied Energy. 230. 1435–1446. 59 indexed citations
20.
Staudt, Philipp, et al.. (2018). Liberalized Markets for Power Transmission Capacity. 61. 1–5.

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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