Thomas Kriechbaumer
Impact in
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- Stock Market Forecasting Methods
- Building and Construction top 10%
- Building Energy and Comfort Optimization
Papers in
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- Smart Grid Energy Management 9
- Energy Load and Power Forecasting 4
- Power Line Communications and Noise 2
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- Building Energy and Comfort Optimization 4
- Co-authors
- Mónica Rivas Casado (4 shared papers)Hans‐Arno Jacobsen (9 shared papers)Andrew Angus (1 shared paper)David Parsons (1 shared paper)Rocío Ballesteros (1 shared paper)Matthias Kahl (6 shared papers)Toby P. Breckon (1 shared paper)Mikhail Shamonin (1 shared paper)
- Journals
- Sensors (2 papers)Scientific Data (2 papers)Resources Policy (1 paper)Hydrology research (1 paper)Lecture notes in computer science (1 paper)
- Partner nations
- GermanyUnited Kingdom
In The Last Decade
Thomas Kriechbaumer
16 papers receiving 437 citations
Peers
Comparison fields: 5 of 67
- Management Science and Operations Research 82
- Building and Construction 73
- Environmental Engineering 72
- Electrical and Electronic Engineering 198
- Economics and Econometrics 93
Countries citing papers authored by Thomas Kriechbaumer
This map shows the geographic impact of Thomas Kriechbaumer'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 Thomas Kriechbaumer with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Thomas Kriechbaumer more than expected).
Fields of papers citing papers by Thomas Kriechbaumer
This network shows the impact of papers produced by Thomas Kriechbaumer. 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 Thomas Kriechbaumer. The network helps show where Thomas Kriechbaumer may publish in the future.
Co-authors
The 10 scholars most cited alongside Thomas Kriechbaumer, 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 | 2013 | 145 | |
| 2 | 2015 | 102 | |
| 3 | 2018 | 81 | |
| 4 | 2017 | 39 | |
| 5 | 2015 | 18 | |
| 6 | 2018 | 17 | |
| 7 | 2017 | 15 | |
| 8 | 2015 | 7 | |
| 9 | 2017 | 7 | |
| 10 | 2018 | 5 | |
| 11 | 2017 | 5 | |
| 12 | 2020 | 4 | |
| 13 | 2017 | 2 | |
| 14 | The darknet and online anonymity | 2015 | 2 |
| 15 | 2015 | 1 | |
| 16 | Methodologies for Distributed Acquisition and Collection of Electrical Energy Data | 2019 | 1 |
About Thomas Kriechbaumer
Thomas Kriechbaumer is a scholar working on Electrical and Electronic Engineering, Building and Construction, Control and Systems Engineering, Renewable Energy, Sustainability and the Environment and Computer Vision and Pattern Recognition, having authored 16 papers that have together received 451 indexed citations. Recurring topics across this work include Smart Grid Energy Management (9 papers), Energy Load and Power Forecasting (4 papers), Building Energy and Comfort Optimization (4 papers), Energy Efficiency and Management (3 papers), Smart Grid Security and Resilience (3 papers), Hydrology and Sediment Transport Processes (2 papers), Remote Sensing and LiDAR Applications (2 papers) and Power Line Communications and Noise (2 papers). The work is most often cited by research in Management Science and Operations Research (82 citations), Building and Construction (73 citations), Environmental Engineering (72 citations), Electrical and Electronic Engineering (198 citations) and Economics and Econometrics (93 citations). Thomas Kriechbaumer has collaborated with scholars based in Germany and United Kingdom. Frequent co-authors include Mónica Rivas Casado, Hans‐Arno Jacobsen, Andrew Angus, David Parsons, Rocío Ballesteros, Matthias Kahl, Toby P. Breckon, Mikhail Shamonin, Tim Berger and Christoph Goebel. Their work appears in journals such as Sensors, Scientific Data, Resources Policy, Hydrology research and Lecture notes in computer science.
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.