John S. Gero

23 papers receiving 293 citations

Peers

John S. Gero
Comparison fields: 5 of 70
  • Mechanical Engineering 151
  • Experimental and Cognitive Psychology 92
  • Automotive Engineering 66
  • Management of Technology and Innovation 49
  • Industrial and Manufacturing Engineering 34
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Citations per year

Countries citing papers authored by John S. Gero

Since Specialization
Citations

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

Fields of papers citing papers by John S. Gero

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by John S. Gero. 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 John S. Gero. The network helps show where John S. Gero may publish in the future.

Co-authorship network of co-authors of John S. Gero

This figure shows the co-authorship network connecting the top 25 collaborators of John S. Gero. A scholar is included among the top collaborators of John S. Gero 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 John S. Gero. John S. Gero is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
#WorkIndexed citations
1 5
2
From Design Cognition to Design Neurocognition.
1
3 29
4
Creative systems that generate and explore
1
5 94
6
Multilevel Computational Creativity
2
7
Learning how to reinterpret creative problems
1
8 4
9
Brainstorming in Solitude and Teams: The Role of Group Influence.
1
10 2
11
Brainstorming in Solitude and Teams: A Computational Study of Group Influence
7
12
A Design Interaction Tool That Adapts
1
13 3
14
Studying collaborative design in high bandwidth virtual environments
1
15
Computational models of creative design IV
49
16 5
17
Evolving Design Genes as well as Design Solutions
1
18
Synchronous support and emergence in collaborative CAAD
13
19
Discovering emergent shapes using a data-driven symbolic model
21
20
Modeling creativity and knowledge-based creative design : edited by John S. Gero and Mary Lou Maher
0

About John S. Gero

John S. Gero is a scholar working on Experimental and Cognitive Psychology, Mechanical Engineering and Management of Technology and Innovation, having authored 26 papers that have together received 313 indexed citations. Recurring topics across this work include Design Education and Practice (10 papers), Creativity in Education and Neuroscience (7 papers) and Aesthetic Perception and Analysis (3 papers). The work is most often cited by research in Architecture (24 citations), Experimental and Cognitive Psychology (92 citations) and Management of Technology and Innovation (49 citations). John S. Gero has collaborated with scholars based in United States, Australia and Singapore. Frequent co-authors include Mary Lou Maher, Udo Kannengiesser, Min Yan, Ricardo Sosa, Weiyuan Wang, Wei Peng, Boi Faltings, Mario Štorga, Kazjon Grace and Nick Kelly. Their work appears in journals such as Cognitive Science, Journal of Computing in Civil Engineering and Research in Engineering Design.

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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