Dániel Gerber
- Automotive Engineering top 2%
- Advanced Battery Technologies Research 12
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- Advanced DC-DC Converters 8
- Smart Grid Energy Management 6
- Artificial Intelligence top 5%
- Semantic Web and Ontologies 10
- Natural Language Processing Techniques 6
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- Microgrid Control and Optimization 9
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- Innovative Energy Harvesting Technologies 9
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- Building Energy and Comfort Optimization 8
- Co-authors
- Rudi Ruben MaçaMarkus HagenKatharina AhlbrechtJens TübkeAxel-Cyrille Ngonga NgomoJens LehmannLorenz BühmannRichard E. Brown
- Cited by
- Automotive EngineeringElectrical and Electronic EngineeringEnergy Engineering and Power Technology
- Partner nations
- United StatesGermanySweden
In The Last Decade
Dániel Gerber
44 papers receiving 1.4k citations
Hit Papers
Peers
Comparison fields: 5 of 74
- Automotive Engineering 410
- Electrical and Electronic Engineering 968
- Energy Engineering and Power Technology 44
- Artificial Intelligence 417
- Control and Systems Engineering 262
Countries citing papers authored by Dániel Gerber
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
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
The 25 scholars most cited alongside Dániel Gerber, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2025 | 1 | |
| 2 | 2024 | 1 | |
| 3 | 2023 | 4 | |
| 4 | 2023 | 11 | |
| 5 | 2023 | 2 | |
| 6 | 2021 | 6 | |
| 7 | 2021 | 0 | |
| 8 | Direct-DC Power in Buildings: Identifying the Best Applications Today for Tomorrow’s Building Sector | 2021 | 3 |
| 9 | 2021 | 28 | |
| 10 | 2021 | 29 | |
| 11 | DC Research in North America: A Status Report | 2019 | 1 |
| 12 | 2019 | 4 | |
| 13 | Energy and Cost Benefits of DC Power in ZNE Buildings | 2018 | 1 |
| 14 | 2018 | 14 | |
| 15 | 2018 | 16 | |
| 16 | 2015 | 41 | |
| 17 | Lithium–Sulfur Cells: The Gap between the State‐of‐the‐Art and the Requirements for High Energy Battery Cellsbreakdown → | 2015 | 572 |
| 18 | Nmbox$^3$ - A Collection of Datasets for Named Entity Recognition and Disambiguation in the NLP Interchange Format | 2014 | 31 |
| 19 | 2013 | 49 | |
| 20 | 2010 | 2 |
About Dániel Gerber
Dániel Gerber is a scholar working on Automotive Engineering, Building and Construction, Control and Systems Engineering, Electrical and Electronic Engineering and Artificial Intelligence, having authored 47 papers that have together received 1.5k indexed citations. Recurring topics across this work include Advanced Battery Technologies Research (12 papers), Semantic Web and Ontologies (10 papers), Microgrid Control and Optimization (9 papers), Innovative Energy Harvesting Technologies (9 papers), Building Energy and Comfort Optimization (8 papers), Advanced DC-DC Converters (8 papers), Smart Grid Energy Management (6 papers) and Natural Language Processing Techniques (6 papers). The work is most often cited by research in Automotive Engineering (410 citations), Electrical and Electronic Engineering (968 citations), Energy Engineering and Power Technology (44 citations), Artificial Intelligence (417 citations) and Control and Systems Engineering (262 citations). Dániel Gerber has collaborated with scholars based in United States, Germany and Sweden. Frequent 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. Their work appears in journals such as Energies, Applied Energy, Electronics, IEEE Transactions on Power Electronics and Language Resources and Evaluation.
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.