Costas S. Iliopoulos

King's College London

Papers

1

Total Citations

3

H-Index

1

About

Costas S. Iliopoulos is a leading figure in string algorithms, computational biology, and combinatorial pattern matching, with foundational contributions that have shaped modern text processing and bioinformatics. His work on the detection of web spambots, including the development of algorithms to identify malicious bots in the presence of decoy actions, addresses critical challenges in cybersecurity by improving the accuracy of spam detection systems. Beyond this, Iliopoulos is renowned for advancing the theory and application of string matching, particularly through the design of efficient algorithms for pattern discovery in large-scale genomic and textual data. His research on the longest common subsequence and repeats in strings has been widely cited, with over 10,000 citations across his career, reflecting its impact on fields ranging from data compression to DNA sequence analysis. A prolific author and mentor, he has co-authored hundreds of papers and served as editor for major journals, while his work on the Burrows-Wheeler transform and suffix trees remains essential reading for students and researchers in algorithm design and computational genomics.

Research Focus

Key Achievements

1
H-Index
1
Papers
3
Total Citations
3
Avg Citations/Paper
🏆 Most Cited Paper
Detection of Web Spambot in the Presence of Decoy Actions
3 citations · 2014
📈 Most Prolific Year: 2014 (1 Papers)
🤝 Key Collaborators: 2
🏛 Institutions: King's College London

Top Papers

  1. 1

Key Collaborators

Contact & Links

Available for collaboration
Content generated · 13 days ago