Bernhard Lorenz
- Cardiology and Cardiovascular Medicine top 10%
- Molecular Biology
- Artificial Intelligence
- Pathology and Forensic Medicine
- Cellular and Molecular Neuroscience
- Co-authors
- Erland ErdmannLindsay BrownDirk J. BeuckelmannMichael NäbauerMichael BöhmB. M. KemkesLee E. BrownE Erdmann
- Topics
- Data Management and Algorithms (5 papers)Semantic Web and Ontologies (4 papers)Cardiac electrophysiology and arrhythmias (3 papers)
- Partner nations
- Germany
In The Last Decade
Bernhard Lorenz
9 papers receiving 242 citations
Peers
Comparison fields: 5 of 54
- Cardiology and Cardiovascular Medicine 153
- Molecular Biology 131
- Artificial Intelligence 45
- Pathology and Forensic Medicine 29
- Cellular and Molecular Neuroscience 29
Countries citing papers authored by Bernhard Lorenz
This map shows the geographic impact of Bernhard Lorenz'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 Bernhard Lorenz with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Bernhard Lorenz more than expected).
Fields of papers citing papers by Bernhard Lorenz
This network shows the impact of papers produced by Bernhard Lorenz. 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 Bernhard Lorenz. The network helps show where Bernhard Lorenz may publish in the future.
Co-authorship network of co-authors of Bernhard Lorenz
This figure shows the co-authorship network connecting the top 25 collaborators of Bernhard Lorenz. A scholar is included among the top collaborators of Bernhard Lorenz 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 Bernhard Lorenz. Bernhard Lorenz is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 2 | |
| 3 | Multi-Paradigm Spatial Information Processing | 0 |
| 4 | Dynamic Data for Geospatial Reasoning - A Local Data Stream Management System (L-DSMS) and a Case Study with RDS-TMC | 2 |
| 5 | 11 | |
| 6 | 0 | |
| 7 | Ontology of Transportation Networks | 40 |
| 8 | Reasoning on the Web: Language Prototypes and Perspectives | 2 |
| 9 | 142 | |
| 10 | 46 | |
| 11 | 1 | |
| 12 | 12 | |
| 13 | 1 |
About Bernhard Lorenz
Bernhard Lorenz is a scholar working on Signal Processing, Geography, Planning and Development and Computer Networks and Communications, having authored 13 papers that have together received 259 indexed citations. Recurring topics across this work include Data Management and Algorithms (5 papers), Semantic Web and Ontologies (4 papers) and Cardiac electrophysiology and arrhythmias (3 papers). The work is most often cited by research in Cardiology and Cardiovascular Medicine (153 citations), Geography, Planning and Development (20 citations) and Signal Processing (22 citations). Bernhard Lorenz has collaborated with scholars based in Germany. Frequent co-authors include Erland Erdmann, Lindsay Brown, Dirk J. Beuckelmann, Michael Näbauer, Michael Böhm, B. M. Kemkes, Lee E. Brown, E Erdmann, François Bry and Walther Jaenicke. Their work appears in journals such as European Heart Journal, Cardiovascular Research and Journal of Molecular and Cellular Cardiology.
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.