John S. Gero

643 total citations
26 papers, 313 citations indexed

About

John S. Gero is a scholar working on Mechanical Engineering, Experimental and Cognitive Psychology and Artificial Intelligence. According to data from OpenAlex, John S. Gero has authored 26 papers receiving a total of 313 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Mechanical Engineering, 7 papers in Experimental and Cognitive Psychology and 5 papers in Artificial Intelligence. Recurrent topics in John S. Gero's work include Design Education and Practice (10 papers), Creativity in Education and Neuroscience (7 papers) and Aesthetic Perception and Analysis (3 papers). John S. Gero is often cited by papers focused on Design Education and Practice (10 papers), Creativity in Education and Neuroscience (7 papers) and Aesthetic Perception and Analysis (3 papers). John S. Gero collaborates with scholars based in United States, Australia and Singapore. John S. Gero's co-authors include Mary Lou Maher, Udo Kannengiesser, Min Yan, Ricardo Sosa, Weiyuan Wang, Nick Kelly, Mario Štorga, Kazjon Grace, Rob Saunders and Boi Faltings and has published in prestigious journals such as Cognitive Science, Journal of Computing in Civil Engineering and Research in Engineering Design.

In The Last Decade

John S. Gero

23 papers receiving 293 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name	h						Papers	Cites
John S. Gero United States	8	151	92	66	49	34	26	313
Chun-Heng Ho Taiwan	11	127 0.8×	105 1.1×	28 0.4×	51 1.0×	15 0.4×	26	418
Marcus B. Hester United States	4	121 0.8×	96 1.0×	41 0.6×	24 0.5×	14 0.4×	11	336
Henri Achten Czechia	12	200 1.3×	30 0.3×	26 0.4×	43 0.9×	43 1.3×	91	504
Mao-Lin Chiu Taiwan	6	177 1.2×	48 0.5×	7 0.1×	62 1.3×	32 0.9×	35	334
Stanko Škec Croatia	12	215 1.4×	78 0.8×	35 0.5×	92 1.9×	79 2.3×	70	444
Niccolò Becattini Italy	13	240 1.6×	95 1.0×	18 0.3×	104 2.1×	60 1.8×	60	430
Gary Bertoline United States	11	85 0.6×	53 0.6×	130 2.0×	7 0.1×	32 0.9×	49	372
Martin Eriksson Sweden	8	63 0.4×	83 0.9×	32 0.5×	27 0.6×	36 1.1×	48	307
Chunlei Chai China	13	133 0.9×	115 1.3×	53 0.8×	25 0.5×	37 1.1×	43	478
Jeff W. T. Kan United States	7	206 1.4×	105 1.1×	9 0.1×	74 1.5×	19 0.6×	16	259

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

Sort: Min cites: Since: Top N: Style:

20 of 20 papers shown

1.

Kannengiesser, Udo & John S. Gero. (2023). MODELLING THE DESIGN OF MODELS: AN EXAMPLE USING CRISP-DM. Proceedings of the Design Society. 3. 2705–2714. 5 indexed citations

2.

Gero, John S.. (2019). From Design Cognition to Design Neurocognition.. Cognitive Science. 49–51. 1 indexed citations

3.

Gero, John S.. (2017). Design Computing and Cognition '16. CERN Document Server (European Organization for Nuclear Research). 29 indexed citations

4.

Kelly, Nick & John S. Gero. (2015). Creative systems that generate and explore. QUT ePrints (Queensland University of Technology). 1 indexed citations

5.

Gero, John S.. (2014). Studying Visual and Spatial Reasoning for Design Creativity. CERN Document Server (European Organization for Nuclear Research). 94 indexed citations

6.

Sosa, Ricardo & John S. Gero. (2013). Multilevel Computational Creativity. ICCC. 198–204. 2 indexed citations

7.

Grace, Kazjon, John S. Gero, & Rob Saunders. (2013). Learning how to reinterpret creative problems. ICCC. 113–117. 1 indexed citations

8.

Sosa, Ricardo & John S. Gero. (2012). Brainstorming in Solitude and Teams: The Role of Group Influence.. ICCC. 188–194. 1 indexed citations

9.

Grace, Kazjon, John S. Gero, & Rob Saunders. (2012). Constructing computational associations between ornamental designs. Proceedings of the International Conference on Computer-Aided Architectural Design Research in Asia. 37–46. 2 indexed citations

10.

Peng, Wei & John S. Gero. (2009). A Design Interaction Tool That Adapts. 1 indexed citations

11.

Kannengiesser, Udo & John S. Gero. (2005). A framework for situated design agents. Proceedings of the International Conference on Computer-Aided Architectural Design Research in Asia. 2. 277–287. 3 indexed citations

12.

Gero, John S., et al.. (2004). Studying collaborative design in high bandwidth virtual environments. 1 indexed citations

13.

Gero, John S. & Mary Lou Maher. (1999). Computational models of creative design IV. Medical Entomology and Zoology. 49 indexed citations

14.

Gero, John S., et al.. (1997). A Framework for Research in Design Computing. eCAADe proceedings. XX–XX. 1 indexed citations

15.

Wang, Weiyuan & John S. Gero. (1997). Sequence-Based Prediction in Conceptual Design of Bridges. Journal of Computing in Civil Engineering. 11(1). 37–43. 5 indexed citations

16.

Gero, John S., Vladimir Kazakov, & Thorsten Schnier. (1996). Evolving Design Genes as well as Design Solutions. Computing in Civil Engineering. 84–90. 1 indexed citations

17.

Gero, John S. & Min Yan. (1993). Discovering emergent shapes using a data-driven symbolic model. 3–17. 21 indexed citations

18.

Gero, John S. & Mary Lou Maher. (1993). Modeling creativity and knowledge-based creative design : edited by John S. Gero and Mary Lou Maher.

19.

Maher, Mary Lou, et al.. (1993). Synchronous support and emergence in collaborative CAAD. 455–470. 13 indexed citations

20.

Faltings, Boi & John S. Gero. (1992). Supporting Creativity in Symbolic Computation. Infoscience (Ecole Polytechnique Fédérale de Lausanne). 1 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.

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