Luca Mariot

895 citations
32 papers · 280 indexed · h-index 7
Topics
Coding theory and cryptography (18 papers)Metaheuristic Optimization Algorithms Research (9 papers)Evolutionary Algorithms and Applications (9 papers)
Partner nations
NetherlandsItalyCroatia

In The Last Decade

Luca Mariot

28 papers receiving 275 citations

Peers

Luca Mariot
Comparison fields: 5 of 51
  • Artificial Intelligence 218
  • Computer Vision and Pattern Recognition 64
  • Molecular Biology 56
  • Computational Theory and Mathematics 54
  • Electrical and Electronic Engineering 46
Replace Deepak Ajwani with:
Deepak Ajwani Ireland
Peter Fenwick New Zealand
Luís M. S.​Russo Portugal
Kimmo Fredriksson Finland
Peter Emde Boas Netherlands
Kalikinkar Mandal Canada
Omer Berkman United States
Yongsub Lim South Korea
Arun Jagota United States
Dana Shapira Israel
Luca Mariot relative to Deepak Ajwani Ireland Deepak Ajwani's profile →
Citations per field
00.5×3.6×
Deepak Ajwani · 1×
Citations per year

Countries citing papers authored by Luca Mariot

Since Specialization
Citations

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

Fields of papers citing papers by Luca Mariot

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Luca Mariot

This figure shows the co-authorship network connecting the top 25 collaborators of Luca Mariot. A scholar is included among the top collaborators of Luca Mariot based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Luca Mariot. Luca Mariot is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
#WorkIndexed citations
1 1
2 0
3 2
4 1
5 41
6 0
7 4
8 1
9 1
10 57
11 0
12 5
13 4
14 2
15 38
16 6
17 34
18 26
19 3
20
Cryptographic properties of bipermutive cellular automata rules
6

About Luca Mariot

Luca Mariot is a scholar working on Artificial Intelligence, Computational Theory and Mathematics and Hardware and Architecture, having authored 32 papers that have together received 280 indexed citations. Recurring topics across this work include Coding theory and cryptography (18 papers), Metaheuristic Optimization Algorithms Research (9 papers) and Evolutionary Algorithms and Applications (9 papers). The work is most often cited by research in Artificial Intelligence (218 citations), Hardware and Architecture (41 citations) and Computational Theory and Mathematics (54 citations). Luca Mariot has collaborated with scholars based in Netherlands, Italy and Croatia. Frequent co-authors include Stjepan Picek, Domagoj Jakobović, Luca Manzoni, Alberto Leporati, Eva Tuba, Lichao Wu, Lejla Batina, Guilherme Perin, Andrea Tangherloni and Marco S. Nobile. Their work appears in journals such as Expert Systems with Applications, IEEE Access and ACM Computing Surveys.

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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