F. Temme
Impact in
-
- Thermal Regulation in Medicine
-
- Digital Transformation in Industry
Papers in
-
- Bayesian Modeling and Causal Inference 1
-
- Thermal Regulation in Medicine 1
- Co-authors
- Ralf Klinkenberg (3 shared papers)Jochen Deuse (1 shared paper)Antonios Deligiannakis (2 shared papers)Jens Fiehler (1 shared paper)Jan Sedlacik (1 shared paper)Constantin Trepte (1 shared paper)Jan‐Hendrik Buhk (1 shared paper)Z. Michael Nagy (1 shared paper)
- Journals
- Therapeutic Hypothermia and Temperature Management (1 paper)UPCommons institutional repository (Universitat Politècnica de Catalunya) (1 paper)2021 IEEE International Conference on Big Data (Big Data) (1 paper)
In The Last Decade
F. Temme
4 papers receiving 22 citations
Peers
Comparison fields: 5 of 22
- Critical Care and Intensive Care Medicine 5
- Industrial and Manufacturing Engineering 7
- Management Information Systems 3
- Hardware and Architecture 2
- Information Systems and Management 2
Countries citing papers authored by F. Temme
This map shows the geographic impact of F. Temme'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 F. Temme with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites F. Temme more than expected).
Fields of papers citing papers by F. Temme
This network shows the impact of papers produced by F. Temme. 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 F. Temme. The network helps show where F. Temme may publish in the future.
Co-authors
The 22 scholars most cited alongside F. Temme, 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 | 2020 | 8 | |
| 2 | 2017 | 6 | |
| 3 | 2021 | 5 | |
| 4 | 2020 | 4 |
About F. Temme
F. Temme is a scholar working on Artificial Intelligence, Critical Care and Intensive Care Medicine, Control and Systems Engineering, Computer Vision and Pattern Recognition and Information Systems and Management, having authored 4 papers that have together received 23 indexed citations. Recurring topics across this work include Thermal Regulation in Medicine (1 paper), Scientific Computing and Data Management (1 paper), Flexible and Reconfigurable Manufacturing Systems (1 paper), Fault Detection and Control Systems (1 paper), Bayesian Modeling and Causal Inference (1 paper), Data Visualization and Analytics (1 paper), Time Series Analysis and Forecasting (1 paper) and Digital Transformation in Industry (1 paper). The work is most often cited by research in Critical Care and Intensive Care Medicine (5 citations), Industrial and Manufacturing Engineering (7 citations), Management Information Systems (3 citations), Hardware and Architecture (2 citations) and Information Systems and Management (2 citations). F. Temme has collaborated with scholars based in Germany, Greece and Australia. Frequent co-authors include Ralf Klinkenberg, Jochen Deuse, Antonios Deligiannakis, Jens Fiehler, Jan Sedlacik, Constantin Trepte, Jan‐Hendrik Buhk, Z. Michael Nagy, P. Schlunder and Nikos Giatrakos. Their work appears in journals such as Therapeutic Hypothermia and Temperature Management, UPCommons institutional repository (Universitat Politècnica de Catalunya) and 2021 IEEE International Conference on Big Data (Big Data).
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.