OOIR: Observatory of International Research

Papers

(The H4-Index of Cognitive Systems Research is 20. 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 2022-01-01 to 2026-01-01.)

Article	Citations
Editorial Board	106
Adaptive timing in a dynamic field architecture for natural human–robot interactions	58
DDG: Dependency-difference gait based on emotional information attention for perceiving emotions from gait	56
Adaptive network modeling of the influence of leadership and communication on learning within an organization	46
Deconstructing emotions in self-control through computational modeling	46
Long horizon episodic decision making for cognitively inspired robots	46
Creating AI-generated role-playing videos from causal network model simulations of social anxiety disorder for virtual therapeutic contexts	45
The mode of computing	38
Conceptual development from the perspective of a brain-inspired robotic architecture	37
Computational modeling of organisational learning by self-modeling networks	36
A study of conceptual primitive elimination: Embedding INGEST into PTRANS	35
Remote identification of psychophysiological parameters for a cognitive-emotional conflict	34
Retraction notice to “Fuzzy cluster correlation mapping for online evaluation of teaching efficacy towards IoT study” [Cogn. Syst. Res. 52 (2018) 365–370]	33
Analogical mappings of facts and counterfactuals in the human mind and Peirce’s abduction: limitations in LLMs	29
The Chinese character illusion	25
Quantum projections on conceptual subspaces	23
Retraction notice to “An optimized reconfigurable algorithm for FPGA architecture oriented IoT applications” [Cogn. Syst. Res. 52 (2018) 335–341]	22
A robot’s sense-making of fallacies and rhetorical tropes. Creating ontologies of what humans try to say	21
Towards autonomous artificial agents with an active self: Modeling sense of control in situated action	20
Eliciting metaknowledge in Large Language Models	20