Lisa Eckey
Impact in
- Information Systems top 5%
- Blockchain Technology Applications and Security
- Cloud Data Security Solutions
- Artificial Intelligence top 10%
- Cryptography and Data Security
- Privacy-Preserving Technologies in Data
- Internet Traffic Analysis and Secure E-voting
Papers in
-
- Blockchain Technology Applications and Security 5
- Cybercrime and Law Enforcement Studies 1
-
- FinTech, Crowdfunding, Digital Finance 2
- Co-authors
- Sebastian Faust (4 shared papers)Stefan Dziembowski (2 shared papers)Daniel Malinowski (1 shared paper)Patrick Jauernig (1 shared paper)David Gen�s (1 shared paper)Kristina Hostáková (1 shared paper)Ahmad‐Reza Sadeghi (1 shared paper)Tommaso Frassetto (1 shared paper)
- Journals
- Communications of the ACM (1 paper)TUbilio (Technical University of Darmstadt) (1 paper)
- Partner nations
- GermanyPolandUnited States
In The Last Decade
Lisa Eckey
5 papers receiving 282 citations
Peers
Comparison fields: 5 of 32
- Information Systems 256
- Artificial Intelligence 155
- Management Information Systems 39
- Computer Networks and Communications 88
- Computer Science Applications 7
Countries citing papers authored by Lisa Eckey
This map shows the geographic impact of Lisa Eckey'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 Lisa Eckey with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Lisa Eckey more than expected).
Fields of papers citing papers by Lisa Eckey
This network shows the impact of papers produced by Lisa Eckey. 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 Lisa Eckey. The network helps show where Lisa Eckey may publish in the future.
Co-authors
The 14 scholars most cited alongside Lisa Eckey, 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 | 2018 | 121 | |
| 2 | 2019 | 108 | |
| 3 | FastKitten: Practical Smart Contracts on Bitcoin | 2019 | 28 |
| 4 | 2021 | 25 | |
| 5 | 2020 | 7 |
About Lisa Eckey
Lisa Eckey is a scholar working on Information Systems, Management Information Systems, Artificial Intelligence, Strategy and Management and Computer Vision and Pattern Recognition, having authored 5 papers that have together received 289 indexed citations. Recurring topics across this work include Blockchain Technology Applications and Security (5 papers), Cryptography and Data Security (2 papers), FinTech, Crowdfunding, Digital Finance (2 papers), Cybercrime and Law Enforcement Studies (1 paper), Advanced Malware Detection Techniques (1 paper), Digital Platforms and Economics (1 paper), Advanced Steganography and Watermarking Techniques (1 paper) and Internet Traffic Analysis and Secure E-voting (1 paper). The work is most often cited by research in Information Systems (256 citations), Artificial Intelligence (155 citations), Management Information Systems (39 citations), Computer Networks and Communications (88 citations) and Computer Science Applications (7 citations). Lisa Eckey has collaborated with scholars based in Germany, Poland and United States. Frequent co-authors include Sebastian Faust, Stefan Dziembowski, Daniel Malinowski, Patrick Jauernig, David Gen�s, Kristina Hostáková, Ahmad‐Reza Sadeghi, Tommaso Frassetto, Philipp Sandner and Tim Ruffing. Their work appears in journals such as Communications of the ACM and TUbilio (Technical University of Darmstadt).
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.