Sarah D’Angelo

582 citations
26 papers · 435 · h-index 10

Impact in

Papers in

Sarah D’Angelo

25 papers receiving 414 citations

Peers

Sarah D’Angelo
Comparison fields: 5 of 55
  • Human-Computer Interaction 238
  • Computer Science Applications 48
  • Developmental and Educational Psychology 80
  • Computer Vision and Pattern Recognition 115
  • Health Informatics 6
Replace Antigoni Parmaxi with:
Antigoni Parmaxi Cyprus
Mingzhang Zuo China
Qinna Feng China
John Joon Young Chung United States
Hilary Smith United Kingdom
Anne M. Sinatra United States
Ignazio Passero Italy
Ruixue Liu China
Andrew M. Webb United States
Teresa Monahan Ireland
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Citations per field
00.5×3.9×
Antigoni Parmaxi · 1×
Citations per year

Countries citing papers authored by Sarah D’Angelo

Since Specialization
Citations

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

Fields of papers citing papers by Sarah D’Angelo

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Sarah D’Angelo. 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 Sarah D’Angelo. The network helps show where Sarah D’Angelo may publish in the future.

Co-authors

The 25 scholars most cited alongside Sarah D’Angelo, 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 Sarah D’Angelo Line = papers co-authored together Sarah D’Angelo 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 201798
2 201673
3 201849
4 202134
5 201631
6 201421
7 201518
8 201817
9
Visual Augmentation of Deictic Gestures in MOOC Videos
201617
10 20239
11 20139
12 20238
13 20248
14 20246
15 20246
16 20196
17 20185
18 20245
19 20235
20 20243

About Sarah D’Angelo

Sarah D’Angelo is a scholar working on Human-Computer Interaction, Artificial Intelligence, Information Systems and Management, Developmental and Educational Psychology and Information Systems, having authored 26 papers that have together received 435 indexed citations. Recurring topics across this work include Usability and User Interface Design (9 papers), Gaze Tracking and Assistive Technology (8 papers), Personal Information Management and User Behavior (4 papers), Virtual Reality Applications and Impacts (3 papers), Explainable Artificial Intelligence (XAI) (3 papers), Software Engineering Techniques and Practices (2 papers), Online and Blended Learning (2 papers) and Data Visualization and Analytics (2 papers). The work is most often cited by research in Human-Computer Interaction (238 citations), Computer Science Applications (48 citations), Developmental and Educational Psychology (80 citations), Computer Vision and Pattern Recognition (115 citations) and Health Informatics (6 citations). Sarah D’Angelo has collaborated with scholars based in United States, Netherlands and New Zealand. Frequent co-authors include Darren Gergle, Andrew Begel, Bertrand Schneider, Jerry Li, Michael Horn, Collin Green, Ciera Jaspan, Pierre Dillenbourg, Kshitij Sharma and Anne Marie Piper. Their work appears in journals such as IEEE Software, ACM Transactions on Software Engineering and Methodology, Interacting with Computers, Infoscience (Ecole Polytechnique Fédérale de Lausanne) and 1517 Media eBooks.

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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