Jörg Drechsler
About
In The Last Decade
Jörg Drechsler
32 papers receiving 508 citations
Peers
Comparison fields: 5 of 86
- Artificial Intelligence 258
- Statistics and Probability 189
- Sociology and Political Science 145
- Management Science and Operations Research 127
- Epidemiology 49
Countries citing papers authored by Jörg Drechsler
This map shows the geographic impact of Jörg Drechsler'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 Jörg Drechsler with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jörg Drechsler more than expected).
Fields of papers citing papers by Jörg Drechsler
This network shows the impact of papers produced by Jörg Drechsler. 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 Jörg Drechsler. The network helps show where Jörg Drechsler may publish in the future.
Co-authorship network of co-authors of Jörg Drechsler
This figure shows the co-authorship network connecting the top 25 collaborators of Jörg Drechsler. A scholar is included among the top collaborators of Jörg Drechsler 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 Jörg Drechsler. Jörg Drechsler is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 3 | |
| 2 | 1 | |
| 3 | 0 | |
| 4 | 1 | |
| 5 | 13 | |
| 6 | 9 | |
| 7 | 4 | |
| 8 | 7 | |
| 9 | 56 | |
| 10 | 2 | |
| 11 | Replicating the Synthetic LBD with German Establishment Data | 2 |
| 12 | Combining Synthetic Data with Subsampling to Create Public Use Microdata Files for Large Scale Surveys | 7 |
| 13 | Remote data access and the risk of disclosure from linear regression | 5 |
| 14 | Methodenreport: Synthetische Scientific-Use-Files der Welle 2007 des IAB-Betriebspanels | 2 |
| 15 | 26 | |
| 16 | 20 | |
| 17 | Disclosure risk and data utility for partially synthetic data: an empirical study using the german IAB establishment survey | 18 |
| 18 | Comparing Fully and Partially Synthetic Datasets for Statistical Disclosure Control in the German IAB Establishment Panel | 35 |
| 19 | Releasing multiply-imputed synthetic data generated in two stages to protect confidentiality | 21 |
| 20 | 25 |
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.