Anne M. Sinatra

29 papers receiving 261 citations

Peers

Anne M. Sinatra
Comparison fields: 5 of 59
  • Human-Computer Interaction 99
  • Computer Science Applications 34
  • Developmental and Educational Psychology 78
  • Social Psychology 84
  • Computer Vision and Pattern Recognition 51
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Citations per year

Countries citing papers authored by Anne M. Sinatra

Since Specialization
Citations

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

Fields of papers citing papers by Anne M. Sinatra

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Anne M. Sinatra. 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 Anne M. Sinatra. The network helps show where Anne M. Sinatra may publish in the future.

Co-authors

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

All Works

20 of 20 papers shown
#Work
1 20240
2 20231
3 20217
4 202037
5 201912
6
Considerations for Dealing with Real-Time Communications in an Intelligent Team Tutoring System Experiment
20182
7
Military Team Training Utilizing GIFT
20171
8 201714
9 201745
10 20161
11 201610
12
Developing an Experiment with GIFT: Then and Now
20150
13 20153
14
Using GIFT to Support an Empirical Study on the Impact of the Self-Reference Effect on Learning.
20133
15
The Impact of Degraded Speech and Stimulus Familiarity in a Dichotic Listening Task
20121
16 20122
17 20112
18 20103
19 20081
20
Natural Speech Toward Humans and Intelligent Agents During a Simulated Search and Rescue Mission
20080

About Anne M. Sinatra

Anne M. Sinatra is a scholar working on Developmental and Educational Psychology, Human-Computer Interaction, Social Psychology, Artificial Intelligence and Experimental and Cognitive Psychology, having authored 36 papers that have together received 275 indexed citations. Recurring topics across this work include Intelligent Tutoring Systems and Adaptive Learning (15 papers), Innovative Teaching and Learning Methods (11 papers), Team Dynamics and Performance (7 papers), Human-Automation Interaction and Safety (6 papers), AI-based Problem Solving and Planning (5 papers), Virtual Reality Applications and Impacts (4 papers), Spatial Cognition and Navigation (3 papers) and Social Robot Interaction and HRI (3 papers). The work is most often cited by research in Human-Computer Interaction (99 citations), Computer Science Applications (34 citations), Developmental and Educational Psychology (78 citations), Social Psychology (84 citations) and Computer Vision and Pattern Recognition (51 citations). Anne M. Sinatra has collaborated with scholars based in United States and Australia. Frequent co-authors include Kimberly A. Pollard, Peter Khooshabeh, Stephen B. Gilbert, Mark A. Ericson, Robert A. Sottilare, Joan H. Johnston, Jason D. Moss, C. Shawn Burke, Eduardo Salas and Jocelyn Parong. Their work appears in journals such as Computers in Human Behavior, International Journal of Artificial Intelligence in Education, Virtual Reality, Frontiers in Psychology and Interaction Studies Social Behaviour and Communication in Biological and Artificial Systems.

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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