Pascal Berrang
- Artificial Intelligence top 10%
- Information Systems top 10%
- Sociology and Political Science
- Public Health, Environmental and Occupational Health
- Molecular Biology
- Co-authors
- Michael BackesMathias HumbertPraveen ManoharanIrina LehmannRoland EilsKrishna P. GummadiYang ZhangOana Goga
- Topics
- Privacy-Preserving Technologies in Data (9 papers)Cryptography and Data Security (5 papers)Epigenetics and DNA Methylation (4 papers)
- Journals
- SHILAP Revista de lepidopterologíaIEEE/ACM Transactions on Computational Biology and BioinformaticsResearch Explorer (The University of Manchester)
- Partner nations
- GermanySwitzerlandUnited States
In The Last Decade
Pascal Berrang
15 papers receiving 211 citations
Peers
Comparison fields: 5 of 41
- Artificial Intelligence 170
- Information Systems 45
- Sociology and Political Science 37
- Public Health, Environmental and Occupational Health 28
- Molecular Biology 27
Countries citing papers authored by Pascal Berrang
This map shows the geographic impact of Pascal Berrang'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 Pascal Berrang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Pascal Berrang more than expected).
Fields of papers citing papers by Pascal Berrang
This network shows the impact of papers produced by Pascal Berrang. 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 Pascal Berrang. The network helps show where Pascal Berrang may publish in the future.
Co-authorship network of co-authors of Pascal Berrang
This figure shows the co-authorship network connecting the top 25 collaborators of Pascal Berrang. A scholar is included among the top collaborators of Pascal Berrang 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 Pascal Berrang. Pascal Berrang 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 | 22 | |
| 5 | 3 | |
| 6 | 24 | |
| 7 | 5 | |
| 8 | 2 | |
| 9 | 14 | |
| 10 | 13 | |
| 11 | 17 | |
| 12 | Privacy in Epigenetics: Temporal Linkability of MicroRNA Expression Profiles | 12 |
| 13 | 18 | |
| 14 | 76 | |
| 15 | How well do you blend into the crowd? - d-convergence: A novel paradigm for quantifying privacy in the age of Big-Data. | 1 |
| 16 | 7 |
About Pascal Berrang
Pascal Berrang is a scholar working on Artificial Intelligence, Computer Science Applications and Hardware and Architecture, having authored 16 papers that have together received 218 indexed citations. Recurring topics across this work include Privacy-Preserving Technologies in Data (9 papers), Cryptography and Data Security (5 papers) and Epigenetics and DNA Methylation (4 papers). The work is most often cited by research in Health Informatics (8 citations), Artificial Intelligence (170 citations) and Information Systems (45 citations). Pascal Berrang has collaborated with scholars based in Germany, Switzerland and United States. Frequent co-authors include Michael Backes, Mathias Humbert, Praveen Manoharan, Irina Lehmann, Roland Eils, Krishna P. Gummadi, Yang Zhang, Oana Goga, Haixu Tang and XiaoFeng Wang. Their work appears in journals such as SHILAP Revista de lepidopterología, IEEE/ACM Transactions on Computational Biology and Bioinformatics and Research Explorer (The University of Manchester).
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.