Ben Goertzel

4.5k citations
140 papers · 2.0k indexed · h-index 18

Ben Goertzel

127 papers receiving 1.6k citations

Peers

Ben Goertzel
Comparison fields: 5 of 162
  • Health Informatics 67
  • Artificial Intelligence 904
  • Safety Research 183
  • Cognitive Neuroscience 405
  • Computational Theory and Mathematics 299
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Countries citing papers authored by Ben Goertzel

Since Specialization
Citations

This map shows the geographic impact of Ben Goertzel'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 Ben Goertzel with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ben Goertzel more than expected).

Fields of papers citing papers by Ben Goertzel

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Ben Goertzel. 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 Ben Goertzel. The network helps show where Ben Goertzel may publish in the future.

Co-authorship network

The 25 scholars most cited alongside Ben Goertzel, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Ben Goertzel Line = papers co-authored together Ben Goertzel links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1
Using Tononi Phi to Measure Consciousness of a Cognitive System While Reading and Conversing.
20191
2
Toward a General Model of Human-Like General Intelligence.
20172
3
Will machines take control
20130
4
Water Worlds, Naive physics, Intelligent Life, and Alien Minds
20101
5
Artificial general intelligence: Proceedings of the Second Conference on Artificial General Intelligence, AGI 2009, Arlington, Virginia, USA, March 6-9, 2009
20092
6 20091
7
Probabilistic Quantifier Logic for General Intelligence: An Indefinite Probabilities Approach
20083
8
Mirror Neurons, Mirrorhouses, and the Algebraic Structure of the Self
20083
9
Stages of Ethical Development in Artificial General Intelligence Systems
20083
10
An Integrative Methodology for Teaching Embodied Non-Linguistic Agents, Applied to Virtual Animals in Second Life
200818
11
OpenCog: A Software Framework for Integrative Artificial General Intelligence
200817
12
Introduction: Aspects of Artificial General Intelligence
200717
13
Stages of Cognitive Development in Uncertain-Logic-Based AI Systems
20076
14
Four Contemporary AGI Designs: a Comparative Treatment
20071
15
Biomind ArrayGenius and GeneGenius: web services offering microarray and SNP data analysis via novel machine learning methods
20073
16
Artificial General Intelligence (Cognitive Technologies)
20077
17
Introduction to BioNLP'06
20065
18
Novamente: An Integrative Architecture for General Intelligence.
20048
19 19980
20
Artificial Selfhood: The Path to True Artificial Intelligence.
19950

About Ben Goertzel

Ben Goertzel is a scholar working on Computational Theory and Mathematics, Artificial Intelligence, Cognitive Neuroscience, Aging and Signal Processing, having authored 140 papers that have together received 2.0k indexed citations. Recurring topics across this work include Computability, Logic, AI Algorithms (33 papers), AI-based Problem Solving and Planning (13 papers), Evolutionary Algorithms and Applications (13 papers), Semantic Web and Ontologies (11 papers), Cognitive Science and Education Research (10 papers), Topic Modeling (9 papers), Cognitive Science and Mapping (9 papers) and Cognitive Computing and Networks (8 papers). The work is most often cited by research in Health Informatics (67 citations), Artificial Intelligence (904 citations), Safety Research (183 citations), Cognitive Neuroscience (405 citations) and Computational Theory and Mathematics (299 citations). Ben Goertzel has collaborated with scholars based in United States, China and Hong Kong. Frequent co-authors include Hugo de Garis, Ruiting Lian, Ted Goertzel, Cassio Pennachin, Pei Wang, Seth D. Baum, Itamar Arel, Shuo Chen, Moshe Looks and Stan Franklin. Their work appears in journals such as Neurocomputing, AI Magazine, Technological Forecasting and Social Change, Applied Mathematics Letters and Artificial Intelligence.

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.

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