Stan Franklin
- Cognitive Neuroscience top 1%
- Embodied and Extended Cognition 14
- Cognitive Science and Education Research 12
- Artificial Intelligence top 1%
- AI-based Problem Solving and Planning 29
- Multi-Agent Systems and Negotiation 21
- Cognitive Science and Mapping 15
- Logic, Reasoning, and Knowledge 11
- Reinforcement Learning in Robotics 9
- Social Psychology top 2%
- Action Observation and Synchronization 20
- General Decision Sciences top 10%
- Co-authors
- Bernard J. BaarsTobias MadlJavier SnaiderSidney K. D’MelloThomas Z. RamsøyUma RamamurthyLee McCauleyColin Allen
- Partner nations
- United StatesUnited KingdomAustria
In The Last Decade
Stan Franklin
105 papers receiving 2.3k citations
Peers
Comparison fields: 5 of 129
- Cognitive Neuroscience 1.3k
- Artificial Intelligence 1.1k
- Social Psychology 478
- General Decision Sciences 27
- Computational Theory and Mathematics 226
Countries citing papers authored by Stan Franklin
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).
Fields of papers citing papers by Stan Franklin
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
The 25 scholars most cited alongside Stan Franklin, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2021 | 2 | |
| 2 | 2021 | 2 | |
| 3 | "Conscious" Multi-Modal Perceptual Learning for Grounded Simulation-Based Cognition. | 2020 | 2 |
| 4 | Sensory Motor System: Modeling the process of action execution | 2014 | 6 |
| 5 | Spatial Working Memory in the LIDA Cognitive Architecture | 2013 | 9 |
| 6 | 2011 | 68 | |
| 7 | Grounded Event-Based and Modal Representations for Objects, Relations, Beliefs, Etc. | 2010 | 11 |
| 8 | LIDA: A Computational Model of Global Workspace Theory and Developmental Learning. | 2007 | 32 |
| 9 | A Foundational Architecture for Artificial General Intelligence | 2007 | 39 |
| 10 | Four Contemporary AGI Designs: a Comparative Treatment | 2007 | 1 |
| 11 | Exploring the Complex Interplay between AI and Consciousness. | 2007 | 1 |
| 12 | A Cognitive Science Based Machine Learning Architecture | 2006 | 8 |
| 13 | Realizing Forgetting in a Modified Sparse Distributed Memory System | 2006 | 6 |
| 14 | Encoding and Retrieval Efficiency of Episodic Data in a Modified Sparse Distributed Memory System | 2005 | 8 |
| 15 | A Triage Information Agent (TIA) based on the IDA Technology | 2004 | 3 |
| 16 | Ida: A conscious artifact? | 2003 | 55 |
| 17 | Modeling Cognition with Software Agents | 2001 | 6 |
| 18 | Building life-like 'conscious' software agents | 2000 | 4 |
| 19 | Metacognition in software agents using classifier systems | 1998 | 21 |
| 20 | G lob al Dynamics in N eural N etworks II | 1989 | 9 |
About Stan Franklin
Stan Franklin is a scholar working on Cognitive Neuroscience, Artificial Intelligence, Social Psychology, Computational Theory and Mathematics and Cultural Studies, having authored 109 papers that have together received 2.6k indexed citations. Recurring topics across this work include AI-based Problem Solving and Planning (29 papers), Multi-Agent Systems and Negotiation (21 papers), Action Observation and Synchronization (20 papers), Cognitive Science and Mapping (15 papers), Embodied and Extended Cognition (14 papers), Cognitive Science and Education Research (12 papers), Logic, Reasoning, and Knowledge (11 papers) and Reinforcement Learning in Robotics (9 papers). The work is most often cited by research in Cognitive Neuroscience (1.3k citations), Artificial Intelligence (1.1k citations), Social Psychology (478 citations), General Decision Sciences (27 citations) and Computational Theory and Mathematics (226 citations). Stan Franklin has collaborated with scholars based in United States, United Kingdom and Austria. Frequent co-authors include Bernard J. Baars, Tobias Madl, Javier Snaider, Sidney K. D’Mello, Thomas Z. Ramsøy, Uma Ramamurthy, Lee McCauley, Colin Allen, Wendell Wallach and Art Graesser. Their work appears in journals such as Cognitive Systems Research, Cognitive Computation, PLoS ONE, Frontiers in Psychology and Neural Networks.
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.