Nadezhda Purtova
- Sociology and Political Science top 10%
- Artificial Intelligence top 10%
- Law top 1%
- Safety Research top 5%
- Political Science and International Relations top 10%
- Co-authors
- Martin HusovecInge GraefLinnet TaylorSamantha AdamsRonald LeenesPierre LaroucheMartin PeitzMaartje Niezen
- Topics
- Privacy, Security, and Data Protection (16 papers)European Criminal Justice and Data Protection (12 papers)Digitalization, Law, and Regulation (11 papers)
- Cited by
- LawSafety ResearchHealth Informatics
- Partner nations
- NetherlandsUnited KingdomGermany
In The Last Decade
Nadezhda Purtova
26 papers receiving 287 citations
Peers
Comparison fields: 5 of 67
- Sociology and Political Science 179
- Artificial Intelligence 109
- Law 99
- Safety Research 69
- Political Science and International Relations 57
Countries citing papers authored by Nadezhda Purtova
This map shows the geographic impact of Nadezhda Purtova'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 Nadezhda Purtova with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Nadezhda Purtova more than expected).
Fields of papers citing papers by Nadezhda Purtova
This network shows the impact of papers produced by Nadezhda Purtova. 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 Nadezhda Purtova. The network helps show where Nadezhda Purtova may publish in the future.
Co-authorship network of co-authors of Nadezhda Purtova
This figure shows the co-authorship network connecting the top 25 collaborators of Nadezhda Purtova. A scholar is included among the top collaborators of Nadezhda Purtova 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 Nadezhda Purtova. Nadezhda Purtova 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 | 0 | |
| 3 | 0 | |
| 4 | 6 | |
| 5 | 21 | |
| 6 | 26 | |
| 7 | Do Property Rights in Personal Data Make Sense After the Big Data Turn | 3 |
| 8 | Do Property Rights in Personal Data Make Sense after the Big Data Turn?: Individual Control and Transparency | 11 |
| 9 | 9 | |
| 10 | 15 | |
| 11 | 6 | |
| 12 | Consumer privacy in network industries | 2 |
| 13 | 3 | |
| 14 | 1 | |
| 15 | 1 | |
| 16 | 2 | |
| 17 | Property Rights in Personal Data. A European Perspective | 19 |
| 18 | 4 | |
| 19 | Property in Personal Data: A European Perspective on the Instrumentalist Theory of Propertisation | 9 |
| 20 | 4 |
About Nadezhda Purtova
Nadezhda Purtova is a scholar working on Law, Political Science and International Relations and Sociology and Political Science, having authored 32 papers that have together received 319 indexed citations. Recurring topics across this work include Privacy, Security, and Data Protection (16 papers), European Criminal Justice and Data Protection (12 papers) and Digitalization, Law, and Regulation (11 papers). The work is most often cited by research in Law (99 citations), Safety Research (69 citations) and Health Informatics (6 citations). Nadezhda Purtova has collaborated with scholars based in Netherlands, United Kingdom and Germany. Frequent co-authors include Martin Husovec, Inge Graef, Linnet Taylor, Samantha Adams, Ronald Leenes, Pierre Larouche, Martin Peitz, Maartje Niezen, Anton Vedder and Raphaël Gellert. Their work appears in journals such as Big Data & Society, Philosophy & Technology and International Data Privacy Law.
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.