This map shows the geographic impact of Stan Franklin'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 Stan Franklin with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Stan Franklin more than expected).
This network shows the impact of papers produced by Stan Franklin. 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 Stan Franklin. The network helps show where Stan Franklin may publish in the future.
Co-authorship network of co-authors of Stan Franklin
This figure shows the co-authorship network connecting the top 25 collaborators of Stan Franklin.
A scholar is included among the top collaborators of Stan Franklin based on the total number of
citations received by their joint publications. Widths of edges
represent the number of papers authors have co-authored together.
Node borders
signify the number of papers an author published with Stan Franklin. Stan Franklin is excluded from
the visualization to improve readability, since they are connected to all nodes in the network.
Franklin, Stan, et al.. (2020). "Conscious" Multi-Modal Perceptual Learning for Grounded Simulation-Based Cognition.. Cognitive Science.2 indexed citations
4.
Franklin, Stan, et al.. (2014). Sensory Motor System: Modeling the process of action execution. Cognitive Science. 36(36).6 indexed citations
5.
Madl, Tobias, Stan Franklin, Ke Chen, & Robert Trappl. (2013). Spatial Working Memory in the LIDA Cognitive Architecture. Research Explorer (The University of Manchester).9 indexed citations
6.
Madl, Tobias, Bernard J. Baars, & Stan Franklin. (2011). The Timing of the Cognitive Cycle. PLoS ONE. 6(4). e14803–e14803.68 indexed citations
7.
Franklin, Stan, et al.. (2010). Grounded Event-Based and Modal Representations for Objects, Relations, Beliefs, Etc.. The Florida AI Research Society.11 indexed citations
8.
Franklin, Stan, et al.. (2007). LIDA: A Computational Model of Global Workspace Theory and Developmental Learning.. National Conference on Artificial Intelligence. 61–66.32 indexed citations
9.
Franklin, Stan. (2007). A Foundational Architecture for Artificial General Intelligence. 36–54.39 indexed citations
10.
Franklin, Stan, Ben Goertzel, Alexei V. Samsonovich, & Pei Wang. (2007). Four Contemporary AGI Designs: a Comparative Treatment. 25–35.1 indexed citations
11.
D’Mello, Sidney K. & Stan Franklin. (2007). Exploring the Complex Interplay between AI and Consciousness.. National Conference on Artificial Intelligence. 49–54.1 indexed citations
12.
D’Mello, Sidney K., Stan Franklin, Uma Ramamurthy, & Bernard J. Baars. (2006). A Cognitive Science Based Machine Learning Architecture. CogPrints (University of Southampton). 40–45.8 indexed citations
13.
D’Mello, Sidney K., Stan Franklin, & Uma Ramamurthy. (2006). Realizing Forgetting in a Modified Sparse Distributed Memory System. eScholarship (California Digital Library). 28(28).6 indexed citations
14.
D’Mello, Sidney K., Stan Franklin, & Uma Ramamurthy. (2005). Encoding and Retrieval Efficiency of Episodic Data in a Modified Sparse Distributed Memory System. eScholarship (California Digital Library). 27(27).8 indexed citations
15.
Franklin, Stan, et al.. (2004). A Triage Information Agent (TIA) based on the IDA Technology. National Conference on Artificial Intelligence. 18–23.3 indexed citations
16.
Franklin, Stan. (2003). Ida: A conscious artifact?. Journal of Consciousness Studies. 10.55 indexed citations
17.
Franklin, Stan & Art Graesser. (2001). Modeling Cognition with Software Agents. eScholarship (California Digital Library). 23(23).6 indexed citations
18.
Franklin, Stan. (2000). Building life-like 'conscious' software agents. AI Communications. 13(3). 183–193.4 indexed citations
19.
Zhang, Zhaohua, Stan Franklin, & Dipankar Dasgupta. (1998). Metacognition in software agents using classifier systems. National Conference on Artificial Intelligence. 83–88.21 indexed citations
20.
Garzón, Max & Stan Franklin. (1989). G lob al Dynamics in N eural N etworks II. Complex Systems. 3.9 indexed citations
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.