Leah Maestri

10 total papers · 473 total citations
8 papers, 354 citations indexed

About

Leah Maestri is a scholar working on Human-Computer Interaction, Mechanical Engineering and Museology. According to data from OpenAlex, Leah Maestri has authored 8 papers receiving a total of 354 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Human-Computer Interaction, 7 papers in Mechanical Engineering and 3 papers in Museology. Recurrent topics in Leah Maestri's work include Innovative Human-Technology Interaction (8 papers), Design Education and Practice (7 papers) and Persona Design and Applications (3 papers). Leah Maestri is often cited by papers focused on Innovative Human-Technology Interaction (8 papers), Design Education and Practice (7 papers) and Persona Design and Applications (3 papers). Leah Maestri collaborates with scholars based in Canada. Leah Maestri's co-authors include Ron Wakkary, Audrey Desjardins, Sabrina Hauser and Xiao Zhang and has published in prestigious journals such as ACM Transactions on Computer-Human Interaction, International Journal of Human-Computer Interaction and Data Archiving and Networked Services (DANS).

In The Last Decade

Leah Maestri

8 papers receiving 337 citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Leah Maestri 297 62 58 51 37 8 354
David Roedl 234 0.8× 48 0.8× 62 1.1× 58 1.1× 43 1.2× 10 342
Amanda M. Williams 200 0.7× 63 1.0× 44 0.8× 35 0.7× 42 1.1× 5 337
Laewoo Kang 242 0.8× 94 1.5× 46 0.8× 36 0.7× 33 0.9× 13 368
Shad Gross 239 0.8× 80 1.3× 51 0.9× 25 0.5× 18 0.5× 16 312
Tobie Kerridge 315 1.1× 75 1.2× 44 0.8× 46 0.9× 13 0.4× 16 374
Alex Wilkie 205 0.7× 112 1.8× 29 0.5× 46 0.9× 24 0.6× 16 344
Connie Golsteijn 316 1.1× 67 1.1× 16 0.3× 28 0.5× 33 0.9× 14 402
Penny Hagen 161 0.5× 84 1.4× 20 0.3× 64 1.3× 19 0.5× 19 333
Heidi Biggs 299 1.0× 76 1.2× 38 0.7× 44 0.9× 25 0.7× 19 356
Lara Houston 155 0.5× 98 1.6× 20 0.3× 41 0.8× 20 0.5× 11 307

Countries citing papers authored by Leah Maestri

Since Specialization
Citations

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

Fields of papers citing papers by Leah Maestri

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Leah Maestri

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

All Works

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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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