Ade Mabogunje

32 papers receiving 212 citations

Peers

Ade Mabogunje
Comparison fields: 5 of 61
  • Mechanical Engineering 164
  • Management of Technology and Innovation 67
  • Experimental and Cognitive Psychology 64
  • Social Psychology 52
  • Human-Computer Interaction 42
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Countries citing papers authored by Ade Mabogunje

Since Specialization
Citations

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

Fields of papers citing papers by Ade Mabogunje

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ade Mabogunje

This figure shows the co-authorship network connecting the top 25 collaborators of Ade Mabogunje. A scholar is included among the top collaborators of Ade Mabogunje 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 Ade Mabogunje. Ade Mabogunje 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
Regenerative learning: a process based design approach
3
2
Design thinking: A new foundational science for engineering
10
3
Developing a design thinking curriculum for venture creation in resource-constrained environment
5
4 30
5
A TESTBED FOR STUDYING VENTURE DESIGN TEAMS IN EMERGING MARKETS
1
6 8
7 3
8 2
9 2
10
Enhancing design learning using groupware
5
11
Power-Browsing – a Method to Accelerate Designers’ Familiarity With Video Information in Digital Libraries
1
12
A reflective approach to learning in a global design project
7
13
An Exploration of Design Information Capture and Reuse in Text and Video Media
2
14
Distributed team innovation : a framework for distributed product development
28
15
Building the Design Observatory: a Core Instrument for Design Research
12
16
PRODUCT DEVELOPMENT PROCESS ONTOLOGY
2
17 3
18 3
19
Toward a Pragmatic Ontology for Product Development Projects in Small Teams
15
20
An Experimental Study of Design Information Reuse
20

About Ade Mabogunje

Ade Mabogunje is a scholar working on Computer Science Applications, Experimental and Cognitive Psychology and Architecture, having authored 35 papers that have together received 288 indexed citations. Recurring topics across this work include Design Education and Practice (19 papers), Creativity in Education and Neuroscience (9 papers) and Team Dynamics and Performance (4 papers). The work is most often cited by research in Management of Technology and Innovation (67 citations), Human-Computer Interaction (42 citations) and Experimental and Cognitive Psychology (64 citations). Ade Mabogunje has collaborated with scholars based in United States, United Kingdom and Germany. Frequent co-authors include Larry Leifer, Özgür Eriş, Tobias Larsson, Peter Törlind, Kathryn Jablokow, Lennart Karlsson, Mark Roman Miller, Jeremy N. Bailenson, Hilary Grierson and George Toye. Their work appears in journals such as Electronics Letters, Journal of Mechanical Design and Proceedings of the ACM on Human-Computer Interaction.

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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