Raffael Bild
Impact in
- Health Informatics top 10%
- Artificial Intelligence top 10%
- Privacy-Preserving Technologies in Data
- Cryptography and Data Security
Papers in
-
- Privacy-Preserving Technologies in Data 11
- Cryptography and Data Security 4
-
- Privacy, Security, and Data Protection 4
- Co-authors
- Fabian Praßer (11 shared papers)Klaus A. Kuhn (13 shared papers)Morris A. Swertz (1 shared paper)Simone Schuffenhauer (2 shared papers)Gabriele Anton (2 shared papers)Jan‐Eric Litton (1 shared paper)David van Enckevort (1 shared paper)Petr Holub (1 shared paper)
- Journals
- BMC Medical Informatics and Decision Making (3 papers)Biopreservation and Biobanking (1 paper)Software Practice and Experience (1 paper)GigaScience (1 paper)International Journal of Medical Informatics (1 paper)
- Partner nations
- GermanyUnited KingdomFinland
In The Last Decade
Raffael Bild
16 papers receiving 237 citations
Peers
Comparison fields: 5 of 53
- Health Informatics 16
- Artificial Intelligence 145
- Information Systems and Management 22
- Health Information Management 14
- Computer Science Applications 15
Countries citing papers authored by Raffael Bild
This map shows the geographic impact of Raffael Bild'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 Raffael Bild with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Raffael Bild more than expected).
Fields of papers citing papers by Raffael Bild
This network shows the impact of papers produced by Raffael Bild. 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 Raffael Bild. The network helps show where Raffael Bild may publish in the future.
Co-authors
The 25 scholars most cited alongside Raffael Bild, 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 | 2016 | 52 | |
| 2 | 2020 | 51 | |
| 3 | 2018 | 32 | |
| 4 | 2019 | 24 | |
| 5 | Lightning: Utility-Driven Anonymization of High-Dimensional Data | 2016 | 21 |
| 6 | 2020 | 19 | |
| 7 | 2017 | 13 | |
| 8 | 2020 | 6 | |
| 9 | 2017 | 6 | |
| 10 | 2016 | 6 | |
| 11 | 2021 | 5 | |
| 12 | 2020 | 4 | |
| 13 | 2016 | 3 | |
| 14 | 2015 | 2 | |
| 15 | 2014 | 1 | |
| 16 | 2016 | 1 | |
| 17 | 2020 | 0 | |
| 18 | 2024 | 0 |
About Raffael Bild
Raffael Bild is a scholar working on Artificial Intelligence, Sociology and Political Science, Public Health, Environmental and Occupational Health, Management Science and Operations Research and Molecular Biology, having authored 18 papers that have together received 246 indexed citations. Recurring topics across this work include Privacy-Preserving Technologies in Data (11 papers), Cryptography and Data Security (4 papers), Privacy, Security, and Data Protection (4 papers), Data Quality and Management (4 papers), Ethics in Clinical Research (3 papers), Artificial Intelligence in Healthcare and Education (2 papers), Cancer Genomics and Diagnostics (1 paper) and Genetic factors in colorectal cancer (1 paper). The work is most often cited by research in Health Informatics (16 citations), Artificial Intelligence (145 citations), Information Systems and Management (22 citations), Health Information Management (14 citations) and Computer Science Applications (15 citations). Raffael Bild has collaborated with scholars based in Germany, United Kingdom and Finland. Frequent co-authors include Fabian Praßer, Klaus A. Kuhn, Morris A. Swertz, Simone Schuffenhauer, Gabriele Anton, Jan‐Eric Litton, David van Enckevort, Petr Holub, Roxana Merino-Martinez and Kaisa Silander. Their work appears in journals such as BMC Medical Informatics and Decision Making, Biopreservation and Biobanking, Software Practice and Experience, GigaScience and International Journal of Medical Informatics.
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.