Kamil Malinka

600 citations
35 papers · 339 · h-index 7

Impact in

Papers in

    • Speech and Audio Processing 5
    • Music and Audio Processing 4
    • Biometric Identification and Security 3
    • Speech Recognition and Synthesis 7
    • Internet Traffic Analysis and Secure E-voting 6

Kamil Malinka

31 papers receiving 320 citations

Peers

Kamil Malinka
Comparison fields: 5 of 54
  • Health Informatics 90
  • Computer Science Applications 55
  • Signal Processing 54
  • Artificial Intelligence 160
  • Safety Research 25
Replace Mohammed Y. Shakor with:
Mohammed Y. Shakor Iraq
Nigar M. Shafiq Surameery Iraq
Ondřej Hujňák Czechia
Alia Madain Jordan
Ömer Aydın Türkiye
Arghavan Moradi Dakhel Canada
Vahid Majdinasab Canada
Fatemehsadat Mireshghallah United States
Oddur Kjartansson United States
Veronika Bogina Israel
Kamil Malinka relative to Mohammed Y. Shakor Iraq Mohammed Y. Shakor's profile →
Citations per field
00.5×2×4×5.5×
Mohammed Y. Shakor · 1×
Citations per year

Countries citing papers authored by Kamil Malinka

Since Specialization
Citations

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

Fields of papers citing papers by Kamil Malinka

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 6 scholars most cited alongside Kamil Malinka, 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 Kamil Malinka Line = papers co-authored together Kamil Malinka links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 35 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2023186
2 202325
3 202016
4 200811
5 202210
6 20109
7 20088
8 20197
9 20247
10 20096
11 20226
12 20246
13 20205
14 20235
15 20244
16 20244
17 20233
18 20113
19 20233
20 20243

About Kamil Malinka

Kamil Malinka is a scholar working on Signal Processing, Artificial Intelligence, Information Systems, Computer Vision and Pattern Recognition and Computer Networks and Communications, having authored 35 papers that have together received 339 indexed citations. Recurring topics across this work include Speech Recognition and Synthesis (7 papers), Internet Traffic Analysis and Secure E-voting (6 papers), Network Security and Intrusion Detection (6 papers), Speech and Audio Processing (5 papers), User Authentication and Security Systems (5 papers), Generative Adversarial Networks and Image Synthesis (4 papers), Music and Audio Processing (4 papers) and Biometric Identification and Security (3 papers). The work is most often cited by research in Health Informatics (90 citations), Computer Science Applications (55 citations), Signal Processing (54 citations), Artificial Intelligence (160 citations) and Safety Research (25 citations). Kamil Malinka has collaborated with scholars based in Czechia, Croatia and Singapore. Frequent co-authors include Anton Firc, Ondřej Hujňák, Ivan Homoliak, Jörg Schäfer, Vashek Matyáš and Tomi Kinnunen. Their work appears in journals such as IEEE Access, Communications of the ACM, Cybersecurity, Heliyon and IEEE Aerospace and Electronic Systems Magazine.

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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