Mackenzie Leake

411 citations
23 papers · 312 · h-index 9

Impact in

Papers in

Mackenzie Leake

19 papers receiving 281 citations

Peers

Mackenzie Leake
Comparison fields: 5 of 57
  • Computer Graphics and Computer-Aided Design 70
  • Museology 42
  • Computer Science Applications 35
  • Architecture 30
  • Human-Computer Interaction 46
Replace Leigh McLoughlin with:
Leigh McLoughlin United Kingdom
Jasper Tran O'Leary United States
Jeremy Warner United States
Karina Rodríguez Echavarria United Kingdom
Rob Ingram United Kingdom
Ben Lafreniere Canada
Kazunori Miyata Japan
Janin Koch Finland
Nadine Couture France
Ahmad Rafi Malaysia
Mackenzie Leake relative to Leigh McLoughlin United Kingdom Leigh McLoughlin's profile →
Citations per field
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Citations per year

Countries citing papers authored by Mackenzie Leake

Since Specialization
Citations

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

Fields of papers citing papers by Mackenzie Leake

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Mackenzie Leake, 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 Mackenzie Leake Line = papers co-authored together Mackenzie Leake links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 23 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201792
2 201743
3 202029
4 202326
5 202124
6 202321
7 202114
8 202411
9 20229
10 20228
11 20248
12 20165
13 20235
14 20245
15 20154
16 20244
17 20252
18 20221
19 20251
20 20240

About Mackenzie Leake

Mackenzie Leake is a scholar working on Computer Graphics and Computer-Aided Design, Museology, Visual Arts and Performing Arts, Computer Vision and Pattern Recognition and Computer Science Applications, having authored 23 papers that have together received 312 indexed citations. Recurring topics across this work include Digital Media and Visual Art (5 papers), Computer Graphics and Visualization Techniques (5 papers), Art, Technology, and Culture (5 papers), Crafts, Textile, and Design (5 papers), Video Analysis and Summarization (4 papers), Teaching and Learning Programming (3 papers), Design Education and Practice (3 papers) and Usability and User Interface Design (2 papers). The work is most often cited by research in Computer Graphics and Computer-Aided Design (70 citations), Museology (42 citations), Computer Science Applications (35 citations), Architecture (30 citations) and Human-Computer Interaction (46 citations). Mackenzie Leake has collaborated with scholars based in United States, Brazil and Germany. Frequent co-authors include Maneesh Agrawala, Abe Davis, Colleen M. Lewis, Stefanie Mueller, Gilbert Bernstein, Hijung Valentina Shin, Tovi Grossman, Ben Lafreniere, Daniel Wigdor and Ross Daly. Their work appears in journals such as ACM Transactions on Graphics, Proceedings of the ACM on Computer Graphics and Interactive Techniques, ACM International Conference on Intelligent User Interfaces (IUI), Creativity and Cognition and DSpace@MIT (Massachusetts Institute of Technology).

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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