Dániel Gerber

2.6k total citations · 2 hit papers
47 papers, 1.5k citations indexed

About

Dániel Gerber is a scholar working on Electrical and Electronic Engineering, Automotive Engineering and Control and Systems Engineering. According to data from OpenAlex, Dániel Gerber has authored 47 papers receiving a total of 1.5k indexed citations (citations by other indexed papers that have themselves been cited), including 24 papers in Electrical and Electronic Engineering, 13 papers in Automotive Engineering and 12 papers in Control and Systems Engineering. Recurrent topics in Dániel Gerber's work include Advanced Battery Technologies Research (12 papers), Semantic Web and Ontologies (10 papers) and Microgrid Control and Optimization (9 papers). Dániel Gerber is often cited by papers focused on Advanced Battery Technologies Research (12 papers), Semantic Web and Ontologies (10 papers) and Microgrid Control and Optimization (9 papers). Dániel Gerber collaborates with scholars based in United States, Germany and Sweden. Dániel Gerber's co-authors include Rudi Ruben Maça, Markus Hagen, Katharina Ahlbrecht, Jens Tübke, Axel-Cyrille Ngonga Ngomo, Jens Lehmann, Lorenz Bühmann, Richard E. Brown, Christina Unger and Philipp Cimiano and has published in prestigious journals such as Advanced Energy Materials, Applied Energy and IEEE Transactions on Power Electronics.

In The Last Decade

Dániel Gerber

44 papers receiving 1.4k citations

Hit Papers

Lithium–Sulfur Cells: The Gap between the State‐of‐the‐Ar... 2012 2026 2016 2021 2015 2012 100 200 300 400 500

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Dániel Gerber United States 16 968 417 410 262 118 47 1.5k
Jiacheng Chen China 17 1.0k 1.1× 135 0.3× 210 0.5× 104 0.4× 64 0.5× 68 1.6k
Wang Wei China 15 934 1.0× 110 0.3× 193 0.5× 501 1.9× 28 0.2× 40 1.2k
Luciane Neves Canha Brazil 19 1.5k 1.5× 58 0.1× 392 1.0× 727 2.8× 121 1.0× 151 1.8k
Zhong Chen China 17 833 0.9× 74 0.2× 441 1.1× 198 0.8× 17 0.1× 128 1.0k
Xuejun Zhao China 15 598 0.6× 84 0.2× 100 0.2× 306 1.2× 321 2.7× 83 1.3k
Mun-Kyeom Kim South Korea 19 1.0k 1.1× 71 0.2× 104 0.3× 519 2.0× 49 0.4× 81 1.3k
Xiaoqi Tan Hong Kong 20 1.3k 1.3× 48 0.1× 638 1.6× 405 1.5× 31 0.3× 56 1.4k
Hung D. Nguyen Singapore 21 806 0.8× 62 0.1× 115 0.3× 428 1.6× 57 0.5× 94 1.1k
Tian Liu China 17 661 0.7× 42 0.1× 123 0.3× 234 0.9× 94 0.8× 54 1.0k
Yujue Wang China 21 644 0.7× 512 1.2× 150 0.4× 65 0.2× 62 0.5× 101 1.3k

Countries citing papers authored by Dániel Gerber

Since Specialization
Citations

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

Fields of papers citing papers by Dániel Gerber

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Dániel Gerber

This figure shows the co-authorship network connecting the top 25 collaborators of Dániel Gerber. A scholar is included among the top collaborators of Dániel Gerber 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 Dániel Gerber. Dániel Gerber 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.
Gerber, Dániel, et al.. (2024). Unsupervised Anomaly Detection in Continuous Integration Pipelines. OPUS (Augsburg University). 336–343. 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.
Gerber, Dániel, Bruce Nordman, Richard E. Brown, & Jason Poon. (2023). Cost analysis of distributed storage in AC and DC microgrids. Applied Energy. 344. 121218–121218. 11 indexed citations
5.
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
6.
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
7.
Maier, Johannes, et al.. (2021). An Evolutionary Calibration Approach for Touch Interface Filter Chains. OPUS (Augsburg University). 29–38.
8.
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
9.
Wang, Ruiting, Wei Feng, Dániel Gerber, et al.. (2021). Simulation and power quality analysis of a Loose-Coupled bipolar DC microgrid in an office building. Applied Energy. 303. 117606–117606. 28 indexed citations
10.
Gerber, Dániel, et al.. (2021). Energy and power quality measurement for electrical distribution in AC and DC microgrid buildings. Applied Energy. 308. 118308–118308. 29 indexed citations
11.
Marnay, Chris & Dániel Gerber. (2019). DC Research in North America: A Status Report. eScholarship (California Digital Library). 1 indexed citations
12.
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
13.
Gerber, Dániel, et al.. (2018). Energy and Cost Benefits of DC Power in ZNE Buildings. eScholarship (California Digital Library). 1 indexed citations
14.
Gerber, Dániel, et al.. (2018). An Integrated Multilevel Converter With Sigma–Delta Control for LED Lighting. IEEE Transactions on Power Electronics. 34(4). 3030–3040. 14 indexed citations
15.
Gerber, Dániel, et al.. (2018). Reconfigurable Hybrid-Switched-Capacitor-Resonant LED Driver for Multiple Mains Voltages. IEEE Journal of Emerging and Selected Topics in Power Electronics. 6(4). 1871–1883. 16 indexed citations
16.
Gerber, Dániel, Jens Lehmann, Lorenz Bühmann, et al.. (2015). DeFacto—Temporal and multilingual Deep Fact Validation. Journal of Web Semantics. 35. 85–101. 41 indexed citations
17.
Hagen, Markus, et al.. (2015). Lithium–Sulfur Cells: The Gap between the State‐of‐the‐Art and the Requirements for High Energy Battery Cells. Advanced Energy Materials. 5(16). 572 indexed citations breakdown →
18.
Röder, Michael, Ricardo Usbeck, Sebastian Hellmann, Dániel Gerber, & Andreas Both. (2014). Nmbox$^3$ - A Collection of Datasets for Named Entity Recognition and Disambiguation in the NLP Interchange Format. Language Resources and Evaluation. 3529–3533. 31 indexed citations
19.
Ngomo, Axel-Cyrille Ngonga, Lorenz Bühmann, Christina Unger, Jens Lehmann, & Dániel Gerber. (2013). Sorry, i don't speak SPARQL. 977–988. 49 indexed citations
20.
Gerber, Dániel, et al.. (2010). Learning semantic web technologies with the web-based SPARQLTrainer. Zenodo (CERN European Organization for Nuclear Research). 1–3. 2 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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