E.C. Laskari

605 citations
18 papers · 502 · h-index 8

Impact in

Papers in

E.C. Laskari

18 papers receiving 476 citations

Peers

E.C. Laskari
Comparison fields: 5 of 69
  • Artificial Intelligence 282
  • Computational Theory and Mathematics 118
  • Computer Vision and Pattern Recognition 101
  • Industrial and Manufacturing Engineering 44
  • Numerical Analysis 21
Replace Jason G. Digalakis with:
Jason G. Digalakis Greece
Wenliang Zhong Hong Kong
Farid Nouioua France
George Bilchev United Kingdom
Sasan Harifi Iran
Esther Villar-Rodríguez Spain
Zhaolu Guo China
Dongdong Yang China
Gary Pamparà South Africa
Jason J. Sauppe United States
E.C. Laskari relative to Jason G. Digalakis Greece Jason G. Digalakis's profile →
Citations per field
00.5×1.6×
Jason G. Digalakis · 1×
Citations per year

Countries citing papers authored by E.C. Laskari

Since Specialization
Citations

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

Fields of papers citing papers by E.C. Laskari

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by E.C. Laskari. 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 E.C. Laskari. The network helps show where E.C. Laskari may publish in the future.

Co-authors

The 5 scholars most cited alongside E.C. Laskari, 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 E.C. Laskari Line = papers co-authored together E.C. Laskari links everyone, so they are left out of the graph.

All Works

18 of 18 papers shown
#Work
1 2003251
2 2003100
3 200529
4 200628
5 200725
6 200624
7 200513
8 20038
9 20095
10 20055
11 20065
12 20052
13 20052
14 20191
15 20031
16 20081
17 20071
18 20061

About E.C. Laskari

E.C. Laskari is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition, Computational Theory and Mathematics, Information Systems and Numerical Analysis, having authored 18 papers that have together received 502 indexed citations. Recurring topics across this work include Chaos-based Image/Signal Encryption (10 papers), Coding theory and cryptography (8 papers), Cryptographic Implementations and Security (6 papers), Evolutionary Algorithms and Applications (4 papers), Cryptography and Data Security (4 papers), Cryptography and Residue Arithmetic (3 papers), Advanced Multi-Objective Optimization Algorithms (3 papers) and Metaheuristic Optimization Algorithms Research (3 papers). The work is most often cited by research in Artificial Intelligence (282 citations), Computational Theory and Mathematics (118 citations), Computer Vision and Pattern Recognition (101 citations), Industrial and Manufacturing Engineering (44 citations) and Numerical Analysis (21 citations). E.C. Laskari has collaborated with scholars based in Greece. Frequent co-authors include Michael N. Vrahatis, Konstantinos E. Parsopoulos, Yannis C. Stamatiou, Dimitris K. Tasoulis and M.N. Vrahatis. Their work appears in journals such as Mathematical and Computer Modelling, Applied Mathematics and Computation, Nonlinear Analysis, Nonlinear Analysis Real World Applications and Numerical Algorithms.

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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