Patrick Glauner
About
In The Last Decade
Patrick Glauner
11 papers receiving 257 citations
Peers
Comparison fields: 5 of 44
- Electrical and Electronic Engineering 202
- Artificial Intelligence 93
- Control and Systems Engineering 89
- Civil and Structural Engineering 86
- Mechanical Engineering 56
Countries citing papers authored by Patrick Glauner
This map shows the geographic impact of Patrick Glauner'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 Patrick Glauner with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Patrick Glauner more than expected).
Fields of papers citing papers by Patrick Glauner
This network shows the impact of papers produced by Patrick Glauner. 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 Patrick Glauner. The network helps show where Patrick Glauner may publish in the future.
Co-authorship network of co-authors of Patrick Glauner
This figure shows the co-authorship network connecting the top 25 collaborators of Patrick Glauner. A scholar is included among the top collaborators of Patrick Glauner 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 Patrick Glauner. Patrick Glauner is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 10 | |
| 2 | 22 | |
| 3 | 1 | |
| 4 | Artificial Intelligence for the Detection of Electricity Theft and Irregular Power Usage in Emerging Markets | 6 |
| 5 | Machine Learning for Data-Driven Smart Grid Applications | 1 |
| 6 | 36 | |
| 7 | 6 | |
| 8 | 150 | |
| 9 | Deep Learning Concepts from Theory to Practice | 0 |
| 10 | Load Forecasting with Artificial Intelligence on Big Data | 1 |
| 11 | Deep Learning on Big Data Sets in the Cloud with Apache Spark and Google TensorFlow | 1 |
| 12 | 30 |
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.