Maxine Glancy

693 citations
25 papers · 495 indexed · h-index 14

Impact in

Papers in

Maxine Glancy

24 papers receiving 476 citations

Peers

Maxine Glancy
Comparison fields: 5 of 73
  • Human-Computer Interaction 290
  • Computer Vision and Pattern Recognition 189
  • Museology 28
  • Information Systems and Management 27
  • Cognitive Neuroscience 68
Replace Elisa Rubegni with:
Elisa Rubegni United Kingdom
Jonathan Hook United Kingdom
Juliana Aida Abu Bakar Malaysia
Nicoletta Di Blas Italy
Cristen Torrey United States
Esko Kurvinen Finland
Ernest Edmonds Australia
Michael Tscholl United States
Petra Sundström Sweden
Athanasis Karoulis Greece
Maxine Glancy relative to Elisa Rubegni United Kingdom Elisa Rubegni's profile →
Citations per field
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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 25 papers — load more, or switch the sort, to bring in the rest.

#Work
1 200876
2 200754
3 202148
4 201738
5 201933
6 201432
7 200724
8 201621
9 201119
10 201718
11 200918
12 201917
13 201515
14 201414
15 201813
16 201312
17 200912
18 201811
19 20186
20 20174

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 Communication, having authored 25 papers that have together received 495 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), Augmented Reality Applications (4 papers), Persona Design and Applications (4 papers), Video Analysis and Summarization (4 papers) and Peer-to-Peer Network Technologies (3 papers). The work is most often cited by research in Human-Computer Interaction (290 citations), Computer Vision and Pattern Recognition (189 citations), Museology (28 citations), Information Systems and Management (27 citations) and Cognitive Neuroscience (68 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, Richard Harper, Siân Lindley, Dave Randall, Chee Siang Ang, Bob Fields and Andrew Wood. Their work appears in journals such as International Journal of Human-Computer Studies, Computer Supported Cooperative Work (CSCW), Proceedings of the ACM on Interactive Mobile Wearable and Ubiquitous Technologies, View and Electronic workshops in computing.

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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