Lukáš Malina

1.5k citations
88 papers · 727 · h-index 14

Impact in

Papers in

Lukáš Malina

81 papers receiving 703 citations

Peers

Lukáš Malina
Comparison fields: 5 of 69
  • Computer Networks and Communications 287
  • Artificial Intelligence 349
  • Information Systems 240
  • Hardware and Architecture 46
  • Signal Processing 72
Replace Haiyong Bao with:
Haiyong Bao China
Kijoon Chae South Korea
Christian Gehrmann Sweden
Xiang Cheng China
Weizhong Qiang China
Atef Ibrahim Saudi Arabia
Liwei Kuang China
Eve M. Schooler United States
Azzam Sleit Jordan
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Citations per year

Countries citing papers authored by Lukáš Malina

Since Specialization
Citations

This map shows the geographic impact of Lukáš Malina'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 Lukáš Malina with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Lukáš Malina more than expected).

Fields of papers citing papers by Lukáš Malina

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Lukáš Malina. 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 Lukáš Malina. The network helps show where Lukáš Malina may publish in the future.

Co-authors

The 25 scholars most cited alongside Lukáš Malina, 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 Lukáš Malina Line = papers co-authored together Lukáš Malina links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 88 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2016101
2 202157
3 201646
4 202037
5 201829
6 201625
7 201825
8 202422
9 201921
10 202117
11 201614
12 201913
13 201513
14 201713
15 201813
16 201312
17 201511
18 201511
19 201910
20 201110

About Lukáš Malina

Lukáš Malina is a scholar working on Artificial Intelligence, Computer Networks and Communications, Information Systems, Electrical and Electronic Engineering and Computer Vision and Pattern Recognition, having authored 88 papers that have together received 727 indexed citations. Recurring topics across this work include Cryptography and Data Security (44 papers), Cryptographic Implementations and Security (21 papers), Advanced Authentication Protocols Security (19 papers), Chaos-based Image/Signal Encryption (16 papers), Privacy-Preserving Technologies in Data (15 papers), User Authentication and Security Systems (12 papers), Internet Traffic Analysis and Secure E-voting (11 papers) and Vehicular Ad Hoc Networks (VANETs) (9 papers). The work is most often cited by research in Computer Networks and Communications (287 citations), Artificial Intelligence (349 citations), Information Systems (240 citations), Hardware and Architecture (46 citations) and Signal Processing (72 citations). Lukáš Malina has collaborated with scholars based in Czechia, Spain and Estonia. Frequent co-authors include Jan Hajný, Petr Dzurenda, Zdeněk Martinásek, Radek Fujdiak, Jiří Hošek, Sara Ricci, Gautam Srivastava, Václav Zeman, Petr Mlýnek and Tomáš Horváth. Their work appears in journals such as IEEE Access, PeerJ Computer Science, International Journal of Security and Networks, Optik and Internet of Things.

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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