OOIR: Observatory of International Research

Papers

(The H4-Index of Cognitive Systems Research is 21. 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 2022-05-01 to 2026-05-01.)

Article	Citations
Editorial Board	148
Adaptive network modeling of the influence of leadership and communication on learning within an organization	78
The mode of computing	56
Creating AI-generated role-playing videos from causal network model simulations of social anxiety disorder for virtual therapeutic contexts	50
Long horizon episodic decision making for cognitively inspired robots	49
Conceptual development from the perspective of a brain-inspired robotic architecture	46
Adaptive timing in a dynamic field architecture for natural human–robot interactions	45
DDG: Dependency-difference gait based on emotional information attention for perceiving emotions from gait	40
Deconstructing emotions in self-control through computational modeling	39
Computational modeling of organisational learning by self-modeling networks	36
Analogical mappings of facts and counterfactuals in the human mind and Peirce’s abduction: limitations in LLMs	35
A study of conceptual primitive elimination: Embedding INGEST into PTRANS	32
The Chinese character illusion	31
Retraction notice to “Fuzzy cluster correlation mapping for online evaluation of teaching efficacy towards IoT study” [Cogn. Syst. Res. 52 (2018) 365–370]	25
Quantum projections on conceptual subspaces	24
Retraction notice to “An optimized reconfigurable algorithm for FPGA architecture oriented IoT applications” [Cogn. Syst. Res. 52 (2018) 335–341]	23
An adaptive network model of the role of the microbiome-gut-brain axis in insomnia	23
Towards generalization in subitizing with neuro-symbolic loss using holographic reduced representations	22
Active exploration and working memory synaptic plasticity shapes goal-directed behavior in curiosity-driven learning	21
Eliciting metaknowledge in Large Language Models	21
Characterising cognitively useful blends: Formalising governing principles of conceptual blending	21