Thomas Kriechbaumer

534 total citations
14 papers, 428 citations indexed

About

Thomas Kriechbaumer is a scholar working on Electrical and Electronic Engineering, Building and Construction and Control and Systems Engineering. According to data from OpenAlex, Thomas Kriechbaumer has authored 14 papers receiving a total of 428 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Electrical and Electronic Engineering, 4 papers in Building and Construction and 3 papers in Control and Systems Engineering. Recurrent topics in Thomas Kriechbaumer's work include Smart Grid Energy Management (9 papers), Building Energy and Comfort Optimization (4 papers) and Energy Load and Power Forecasting (4 papers). Thomas Kriechbaumer is often cited by papers focused on Smart Grid Energy Management (9 papers), Building Energy and Comfort Optimization (4 papers) and Energy Load and Power Forecasting (4 papers). Thomas Kriechbaumer collaborates with scholars based in Germany and United Kingdom. Thomas Kriechbaumer's co-authors include Mónica Rivas Casado, Hans‐Arno Jacobsen, Andrew Angus, David Parsons, Rocío Ballesteros, Matthias Kahl, Toby P. Breckon, Mikhail Shamonin and Tim Berger and has published in prestigious journals such as Sensors, Resources Policy and Scientific Data.

In The Last Decade

Thomas Kriechbaumer

14 papers receiving 412 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Thomas Kriechbaumer Germany 8 186 89 76 75 73 14 428
Nan Wei China 10 288 1.5× 70 0.8× 142 1.9× 30 0.4× 59 0.8× 20 539
Ted Soubdhan France 14 457 2.5× 35 0.4× 74 1.0× 18 0.2× 64 0.9× 24 769
Ergun Uzlu Türkiye 10 176 0.9× 39 0.4× 66 0.9× 12 0.2× 19 0.3× 21 474
Adriaan Brebels Russia 4 78 0.4× 19 0.2× 65 0.9× 14 0.2× 42 0.6× 8 364
Yunpeng Ma China 10 161 0.9× 12 0.1× 20 0.3× 24 0.3× 106 1.5× 14 340
Sreenu Sreekumar India 14 253 1.4× 14 0.2× 52 0.7× 10 0.1× 43 0.6× 40 475
A. de Francisco Spain 8 518 2.8× 14 0.2× 90 1.2× 17 0.2× 57 0.8× 12 770
Anton Tyukov Russia 4 65 0.3× 17 0.2× 62 0.8× 14 0.2× 35 0.5× 8 341
Tohid Erfani United Kingdom 13 84 0.5× 38 0.4× 41 0.5× 10 0.1× 10 0.1× 39 565

Countries citing papers authored by Thomas Kriechbaumer

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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-authorship network of co-authors of Thomas Kriechbaumer

This figure shows the co-authorship network connecting the top 25 collaborators of Thomas Kriechbaumer. A scholar is included among the top collaborators of Thomas Kriechbaumer 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 Thomas Kriechbaumer. Thomas Kriechbaumer is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

14 of 14 papers shown
1.
Kriechbaumer, Thomas, et al.. (2020). CREAM, a component level coffeemaker electrical activity measurement dataset. Scientific Data. 7(1). 441–441. 4 indexed citations
2.
Kriechbaumer, Thomas. (2019). Methodologies for Distributed Acquisition and Collection of Electrical Energy Data. mediaTUM – the media and publications repository of the Technical University Munich (Technical University Munich). 1 indexed citations
3.
Kriechbaumer, Thomas & Hans‐Arno Jacobsen. (2018). BLOND, a building-level office environment dataset of typical electrical appliances. Scientific Data. 5(1). 180048–180048. 78 indexed citations
5.
Kahl, Matthias, et al.. (2018). Measurement system and dataset for in-depth analysis of appliance energy consumption in industrial environment. tm - Technisches Messen. 86(1). 1–13. 17 indexed citations
6.
Kahl, Matthias, et al.. (2017). Appliance classification across multiple high frequency energy datasets. 147–152. 6 indexed citations
7.
Kriechbaumer, Thomas. (2017). Kriechi/building-level-office-environment-dataset: v1.0. Zenodo (CERN European Organization for Nuclear Research). 2 indexed citations
8.
Kriechbaumer, Thomas, et al.. (2017). MEDAL. 216–221. 14 indexed citations
9.
Kahl, Matthias, et al.. (2017). A Comprehensive Feature Study for Appliance Recognition on High Frequency Energy Data. 121–131. 36 indexed citations
10.
Kriechbaumer, Thomas, et al.. (2017). CLEAR — A circuit level electric appliance radar for the electric cabinet. 25. 1130–1135. 5 indexed citations
12.
Casado, Mónica Rivas, et al.. (2015). Automated Identification of River Hydromorphological Features Using UAV High Resolution Aerial Imagery. Sensors. 15(11). 27969–27989. 97 indexed citations
13.
Kriechbaumer, Thomas, et al.. (2015). Quantitative Evaluation of Stereo Visual Odometry for Autonomous Vessel Localisation in Inland Waterway Sensing Applications. Sensors. 15(12). 31869–31887. 18 indexed citations
14.
Kriechbaumer, Thomas, Andrew Angus, David Parsons, & Mónica Rivas Casado. (2013). An improved wavelet–ARIMA approach for forecasting metal prices. Resources Policy. 39. 32–41. 138 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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