André Gensler
Impact in
- Artificial Intelligence top 5%
- Solar Radiation and Photovoltaics
- Anomaly Detection Techniques and Applications
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- Photovoltaic System Optimization Techniques
Papers in
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- Solar Radiation and Photovoltaics 6
- Anomaly Detection Techniques and Applications 3
- Neural Networks and Applications 2
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- Complex Systems and Time Series Analysis 6
- Co-authors
- Bernhard Sick (13 shared papers)Nils Raabe (1 shared paper)Janosch Henze (1 shared paper)S. Vogt (2 shared papers)Michael Goldhammer (1 shared paper)U. Brunsmann (1 shared paper)Konrad Doll (1 shared paper)Thiemo Gruber (2 shared papers)
- Journals
- Pattern Analysis and Applications (1 paper)Renewable and Sustainable Energy Reviews (1 paper)Kobra (Universitätsbibliothek Kassel) (1 paper)LWA (1 paper)Fraunhofer-Publica (Fraunhofer-Gesellschaft) (1 paper)
- Partner nations
- Germany
In The Last Decade
André Gensler
14 papers receiving 506 citations
André Gensler's Hit Papers
Peers
Comparison fields: 5 of 69
- Artificial Intelligence 285
- Renewable Energy, Sustainability and the Environment 131
- Electrical and Electronic Engineering 348
- Management Science and Operations Research 64
- Signal Processing 43
Countries citing papers authored by André Gensler
This map shows the geographic impact of André Gensler'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 André Gensler with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites André Gensler more than expected).
Fields of papers citing papers by André Gensler
This network shows the impact of papers produced by André Gensler. 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 André Gensler. The network helps show where André Gensler may publish in the future.
Co-authors
The 8 scholars most cited alongside André Gensler, 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 | Deep Learning for solar power forecasting — An approach using AutoEncoder and LSTM Neural Networks Hit paper breakdown → | 2016 | 425 |
| 2 | 2014 | 19 | |
| 3 | Novel Criteria to Measure Performance of Time Series Segmentation Techniques | 2014 | 11 |
| 4 | 2017 | 10 | |
| 5 | 2016 | 10 | |
| 6 | 2016 | 10 | |
| 7 | 2018 | 9 | |
| 8 | 2013 | 6 | |
| 9 | 2016 | 6 | |
| 10 | 2017 | 5 | |
| 11 | 2019 | 4 | |
| 12 | 2014 | 3 | |
| 13 | 2015 | 3 | |
| 14 | 2018 | 1 |
About André Gensler
André Gensler is a scholar working on Artificial Intelligence, Economics and Econometrics, Electrical and Electronic Engineering, Signal Processing and Management Science and Operations Research, having authored 14 papers that have together received 522 indexed citations. Recurring topics across this work include Complex Systems and Time Series Analysis (6 papers), Energy Load and Power Forecasting (6 papers), Solar Radiation and Photovoltaics (6 papers), Time Series Analysis and Forecasting (5 papers), Electric Power System Optimization (3 papers), Anomaly Detection Techniques and Applications (3 papers), Neural Networks and Applications (2 papers) and Stock Market Forecasting Methods (2 papers). The work is most often cited by research in Artificial Intelligence (285 citations), Renewable Energy, Sustainability and the Environment (131 citations), Electrical and Electronic Engineering (348 citations), Management Science and Operations Research (64 citations) and Signal Processing (43 citations). André Gensler has collaborated with scholars based in Germany. Frequent co-authors include Bernhard Sick, Nils Raabe, Janosch Henze, S. Vogt, Michael Goldhammer, U. Brunsmann, Konrad Doll and Thiemo Gruber. Their work appears in journals such as Pattern Analysis and Applications, Renewable and Sustainable Energy Reviews, Kobra (Universitätsbibliothek Kassel), LWA and Fraunhofer-Publica (Fraunhofer-Gesellschaft).
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.