Maxine Glancy

718 citations
26 papers · 516 · h-index 14

Impact in

Papers in

Maxine Glancy

24 papers receiving 496 citations

Peers

Maxine Glancy
Comparison fields: 5 of 73
  • Human-Computer Interaction 292
  • Computer Vision and Pattern Recognition 193
  • Museology 28
  • Information Systems and Management 27
  • Cognitive Neuroscience 70
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Cristen Torrey United States
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Citations per year

Countries citing papers authored by Maxine Glancy

Since Specialization
Citations

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

Fields of papers citing papers by Maxine Glancy

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 26 papers — load more, or switch the sort, to bring in the rest.

#Work
1 200877
2 202159
3 200756
4 201739
5 201933
6 201432
7 200724
8 201122
9 201621
10 201718
11 201918
12 200918
13 201515
14 201414
15 201813
16 200912
17 201312
18 201811
19 20186
20 20235

About Maxine Glancy

Maxine Glancy is a scholar working on Human-Computer Interaction, Sociology and Political Science, Computer Vision and Pattern Recognition, Computer Networks and Communications and Experimental and Cognitive Psychology, having authored 26 papers that have together received 516 indexed citations. Recurring topics across this work include Multimedia Communication and Technology (8 papers), Virtual Reality Applications and Impacts (7 papers), Interactive and Immersive Displays (5 papers), Innovative Human-Technology Interaction (5 papers), Persona Design and Applications (4 papers), Video Analysis and Summarization (4 papers), Augmented Reality Applications (4 papers) and Peer-to-Peer Network Technologies (3 papers). The work is most often cited by research in Human-Computer Interaction (292 citations), Computer Vision and Pattern Recognition (193 citations), Museology (28 citations), Information Systems and Management (27 citations) and Cognitive Neuroscience (70 citations). Maxine Glancy has collaborated with scholars based in United Kingdom, Netherlands and United States. Frequent co-authors include Kenton O’Hara, Vinoba Vinayagamoorthy, Tim Kindberg, Christoph M. Ziegler, Dave Randall, Richard Harper, Siân Lindley, Md. Moinul Hossain, Chee Siang Ang and Peter Passmore. Their work appears in journals such as International Journal of Human-Computer Studies, Proceedings of the ACM on Interactive Mobile Wearable and Ubiquitous Technologies, Computer Supported Cooperative Work (CSCW), e-space (Manchester Metropolitan University) and Bradford Scholars (University of Bradford).

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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