Sarah D’Angelo

557 citations
24 papers · 414 indexed · h-index 10

Impact in

Papers in

Sarah D’Angelo

24 papers receiving 393 citations

Peers

Sarah D’Angelo
Comparison fields: 5 of 54
  • Human-Computer Interaction 235
  • Computer Science Applications 48
  • Developmental and Educational Psychology 79
  • Computer Vision and Pattern Recognition 110
  • Communication 20
Replace Antigoni Parmaxi with:
Antigoni Parmaxi Cyprus
Mingzhang Zuo China
Qinna Feng China
Ignazio Passero Italy
Teresa Monahan Ireland
Michael Tscholl United States
Andrew M. Webb United States
Sarah Gallacher United Kingdom
Nicoletta Di Blas Italy
Hilary Smith United Kingdom
Sarah D’Angelo relative to Antigoni Parmaxi Cyprus Antigoni Parmaxi's profile →
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
#Work
1 20246
2 20245
3 20241
4 20244
5 20242
6 20237
7 20235
8 20191
9 20195
10 20185
11 20182
12 201847
13 201816
14 201797
15
Visual Augmentation of Deictic Gestures in MOOC Videos
201617
16 201671
17 201518
18 201421
19 20131
20 20139

About Sarah D’Angelo

Sarah D’Angelo is a scholar working on Human-Computer Interaction, Information Systems and Management, Developmental and Educational Psychology, Computer Science Applications and Computer Vision and Pattern Recognition, having authored 24 papers that have together received 414 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), Speech and dialogue systems (2 papers), Explainable Artificial Intelligence (XAI) (2 papers), Open Source Software Innovations (2 papers) and Online and Blended Learning (2 papers). The work is most often cited by research in Human-Computer Interaction (235 citations), Computer Science Applications (48 citations), Developmental and Educational Psychology (79 citations), Computer Vision and Pattern Recognition (110 citations) and Communication (20 citations). Sarah D’Angelo has collaborated with scholars based in United States, Netherlands and Denmark. Frequent co-authors include Darren Gergle, Andrew Begel, Bertrand Schneider, Michael Horn, Jerry Li, Kshitij Sharma, Pierre Dillenbourg, James D. Hollan, Ciera Jaspan and Collin Green. 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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