Daniel Malinowski
Impact in
- Information Systems top 1%
- Blockchain Technology Applications and Security
- Cloud Data Security Solutions
- Artificial Intelligence top 5%
- Cryptography and Data Security
- Privacy-Preserving Technologies in Data
- Internet Traffic Analysis and Secure E-voting
Papers in
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- Blockchain Technology Applications and Security 8
- Cloud Data Security Solutions 1
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- Cryptography and Data Security 10
- Internet Traffic Analysis and Secure E-voting 1
- Security and Verification in Computing 1
- Co-authors
- Stefan Dziembowski (9 shared papers)Łukasz Mazurek (7 shared papers)Marcin Andrychowicz (7 shared papers)Lisa Eckey (1 shared paper)Sebastian Faust (1 shared paper)
- Journals
- Communications of the ACM (1 paper)Lecture notes in computer science (5 papers)IACR Cryptology ePrint Archive (2 papers)
In The Last Decade
Daniel Malinowski
9 papers receiving 792 citations
Daniel Malinowski's Hit Papers
Peers
Comparison fields: 5 of 37
- Information Systems 727
- Artificial Intelligence 557
- Computer Networks and Communications 197
- Management Information Systems 62
- Management Science and Operations Research 52
Countries citing papers authored by Daniel Malinowski
This map shows the geographic impact of Daniel Malinowski'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 Daniel Malinowski with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Daniel Malinowski more than expected).
Fields of papers citing papers by Daniel Malinowski
This network shows the impact of papers produced by Daniel Malinowski. 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 Daniel Malinowski. The network helps show where Daniel Malinowski may publish in the future.
Co-authors
The 5 scholars most cited alongside Daniel Malinowski, 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 | Secure Multiparty Computations on Bitcoin Hit paper breakdown → | 2014 | 294 |
| 2 | 2019 | 154 | |
| 3 | 2014 | 129 | |
| 4 | 2015 | 63 | |
| 5 | 2016 | 62 | |
| 6 | 2016 | 60 | |
| 7 | 2014 | 39 | |
| 8 | Fair Two-Party Computations via the BitCoin Deposits. | 2013 | 11 |
| 9 | 2017 | 1 | |
| 10 | Secure Multiparty Computations on BitCoin. | 2013 | 1 |
About Daniel Malinowski
Daniel Malinowski is a scholar working on Information Systems, Artificial Intelligence, Computational Theory and Mathematics, Computer Vision and Pattern Recognition and Computer Networks and Communications, having authored 10 papers that have together received 814 indexed citations. Recurring topics across this work include Cryptography and Data Security (10 papers), Blockchain Technology Applications and Security (8 papers), Complexity and Algorithms in Graphs (3 papers), Advanced Steganography and Watermarking Techniques (2 papers), Internet Traffic Analysis and Secure E-voting (1 paper), Security and Verification in Computing (1 paper), Cloud Data Security Solutions (1 paper) and Peer-to-Peer Network Technologies (1 paper). The work is most often cited by research in Information Systems (727 citations), Artificial Intelligence (557 citations), Computer Networks and Communications (197 citations), Management Information Systems (62 citations) and Management Science and Operations Research (52 citations). Daniel Malinowski has collaborated with scholars based in Poland, Italy and Germany. Frequent co-authors include Stefan Dziembowski, Łukasz Mazurek, Marcin Andrychowicz, Lisa Eckey and Sebastian Faust. Their work appears in journals such as Communications of the ACM, Lecture notes in computer science and IACR Cryptology ePrint Archive.
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.