Daniel Malinowski

1.1k citations
3 papers · 329 · h-index 3

Impact in

    • Blockchain Technology Applications and Security
    • Cloud Data Security Solutions
    • Cryptography and Data Security
    • Privacy-Preserving Technologies in Data
    • Internet Traffic Analysis and Secure E-voting

Papers in

    • Blockchain Technology Applications and Security 3
    • Cryptography and Data Security 3
    • Privacy-Preserving Technologies in Data 1
    • Internet Traffic Analysis and Secure E-voting 1

Daniel Malinowski

3 papers receiving 321 citations

Peers

Daniel Malinowski
Comparison fields: 5 of 29
  • Information Systems 295
  • Artificial Intelligence 199
  • Computer Networks and Communications 96
  • Management Information Systems 27
  • Computer Science Applications 8
Replace Łukasz Mazurek with:
Łukasz Mazurek Poland
Lisa Eckey Germany
Jacob Eberhardt Germany
Katsuya Oba United States
Chouki Tibermacine France
Ranjit Kumaresan United States
Mahmoud Boufaïda Algeria
Fabrice Benhamouda United States
Sergi Delgado-Segura Spain
Daniel Malinowski relative to Łukasz Mazurek Poland Łukasz Mazurek's profile →
Citations per field
00.5×3.6×
Łukasz Mazurek · 1×
Citations per year

Countries citing papers authored by Daniel Malinowski

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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.

Border = papers with Daniel Malinowski Line = papers co-authored together Daniel Malinowski links everyone, so they are left out of the graph.

All Works

3 of 3 papers shown

About Daniel Malinowski

Daniel Malinowski is a scholar working on Information Systems, Artificial Intelligence, Computer Vision and Pattern Recognition, Infectious Diseases and Organic Chemistry, having authored 3 papers that have together received 329 indexed citations. Recurring topics across this work include Blockchain Technology Applications and Security (3 papers), Cryptography and Data Security (3 papers), Privacy-Preserving Technologies in Data (1 paper), Internet Traffic Analysis and Secure E-voting (1 paper) and Advanced Steganography and Watermarking Techniques (1 paper). The work is most often cited by research in Information Systems (295 citations), Artificial Intelligence (199 citations), Computer Networks and Communications (96 citations), Management Information Systems (27 citations) and Computer Science Applications (8 citations). Daniel Malinowski has collaborated with scholars based in Poland, Germany and Italy. 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.

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.

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