Jörg Reiher
- Artificial Intelligence top 5%
- Management Science and Operations Research top 2%
- Information Systems top 10%
- Sociology and Political Science
- Epidemiology
- Topics
- Data Quality and Management (5 papers)Privacy-Preserving Technologies in Data (3 papers)Cryptography and Data Security (2 papers)
- Cited by
- Management Science and Operations ResearchArtificial IntelligenceHealth Information Management
- Journals
- BMC Medical Informatics and Decision MakingEvaluation ReviewBundesgesundheitsblatt - Gesundheitsforschung - Gesundheitsschutz
- Partner nations
- Germany
In The Last Decade
Jörg Reiher
11 papers receiving 328 citations
Peers
Comparison fields: 5 of 67
- Artificial Intelligence 221
- Management Science and Operations Research 216
- Information Systems 60
- Sociology and Political Science 51
- Epidemiology 47
Countries citing papers authored by Jörg Reiher
This map shows the geographic impact of Jörg Reiher'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 Reiher with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jörg Reiher more than expected).
Fields of papers citing papers by Jörg Reiher
This network shows the impact of papers produced by Jörg Reiher. 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 Reiher. The network helps show where Jörg Reiher may publish in the future.
Co-authorship network of co-authors of Jörg Reiher
This figure shows the co-authorship network connecting the top 25 collaborators of Jörg Reiher. A scholar is included among the top collaborators of Jörg Reiher 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 Reiher. Jörg Reiher is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 8 | |
| 2 | 6 | |
| 3 | 13 | |
| 4 | TDGen: A Test Data Generator for Evaluating Record Linkage Methods | 5 |
| 5 | 40 | |
| 6 | 4 | |
| 7 | 43 | |
| 8 | Entwicklung einer neuen fehlertoleranten Methode bei der Verknüpfung von personenbezogenen Datenbanken unter Gewährleistung des Datenschutzes | 2 |
| 9 | 216 | |
| 10 | Die Anwendung statistischer Record-Linkage-Methoden auf selbst-generierte Codes bei Längsschnitterhebungen | 2 |
| 11 | MTB: ein Record-Linkage-Programm für die empirische Sozialforschung | 11 |
About Jörg Reiher
Jörg Reiher is a scholar working on Management Science and Operations Research, Museology and Artificial Intelligence, having authored 11 papers that have together received 350 indexed citations. Recurring topics across this work include Data Quality and Management (5 papers), Privacy-Preserving Technologies in Data (3 papers) and Cryptography and Data Security (2 papers). The work is most often cited by research in Management Science and Operations Research (216 citations), Artificial Intelligence (221 citations) and Health Information Management (19 citations). Jörg Reiher has collaborated with scholars based in Germany. Frequent co-authors include Tobias Bachteler, Rainer Schnell, Mark Trappmann and Klaus Giersiepen. Their work appears in journals such as BMC Medical Informatics and Decision Making, Evaluation Review and Bundesgesundheitsblatt - Gesundheitsforschung - Gesundheitsschutz.
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.