Theoretical Computer Science

Papers
(The H4-Index of Theoretical Computer Science is 18. The table below lists those papers that are above that threshold based on CrossRef citation counts [max. 250 papers]. The publications cover those that have been published in the past four years, i.e., from 2020-09-01 to 2024-09-01.)
ArticleCitations
Efficient card-based zero-knowledge proof for Sudoku53
How to construct physical zero-knowledge proofs for puzzles with a “single loop” condition34
An analysis of architecture, framework, security and challenging aspects for data aggregation and routing techniques in IoT WSNs31
Physical zero-knowledge proof for Ripple Effect28
Securely computing the n-variable equality function with 2n cards26
Optimizing hybrid metaheuristic algorithm with cluster head to improve performance metrics on the IoT25
Community-based rumor blocking maximization in social networks: Algorithms and analysis25
Deep learning and natural language processing in computation for offensive language detection in online social networks by feature selection and ensemble classification techniques25
Structure connectivity and substructure connectivity of wheel networks23
Card-based protocols for secure ranking computations23
Maximum Nash welfare and other stories about EFX23
Spiking neural P systems with target indications23
Relationship between extra edge connectivity and component edge connectivity for regular graphs22
Identity-based encryption with equality test and datestamp-based authorization mechanism21
When hypermutations and ageing enable artificial immune systems to outperform evolutionary algorithms21
Multiple birds with one stone: Beating 1/2 for EFX and GMMS via envy cycle elimination20
Fault-tolerant complete visibility for asynchronous robots with lights under one-axis agreement19
Almost envy-freeness in group resource allocation19
A Secure Energy Aware Meta-Heuristic Routing Protocol (SEAMHR) for sustainable IoT-Wireless Sensor Network (WSN)18
Design and analysis of diversity-based parent selection schemes for speeding up evolutionary multi-objective optimisation18
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