Robert M. Christopherson

732 citations
13 papers · 615 · h-index 7

Impact in

Papers in

Robert M. Christopherson

13 papers receiving 575 citations

Peers

Robert M. Christopherson
Comparison fields: 5 of 59
  • Computer Science Applications 220
  • Developmental and Educational Psychology 300
  • Experimental and Cognitive Psychology 153
  • Artificial Intelligence 338
  • Human-Computer Interaction 46
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Citations per field
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Citations per year

Countries citing papers authored by Robert M. Christopherson

Since Specialization
Citations

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

Fields of papers citing papers by Robert M. Christopherson

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 15 scholars most cited alongside Robert M. Christopherson, 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 Robert M. Christopherson Line = papers co-authored together Robert M. Christopherson links everyone, so they are left out of the graph.

All Works

13 of 13 papers shown
#Work
1 2009307
2 201099
3 201395
4 200943
5 200926
6 201213
7 201112
8 20226
9 20116
10
Does the Type and Degree of Animation Present in a Visual Representation Accompanying Narration in a Multimedia Environment Impact Learning
20093
11
The level up procedure: How to measure learning gains without pre- and post-testing
20112
12 20132
13
BrainBook: Instructional Design Leveraging Social Networking Features Increases Motivation and Engagement
20121

About Robert M. Christopherson

Robert M. Christopherson is a scholar working on Developmental and Educational Psychology, Computer Science Applications, Experimental and Cognitive Psychology, Artificial Intelligence and Cognitive Neuroscience, having authored 13 papers that have together received 615 indexed citations. Recurring topics across this work include Intelligent Tutoring Systems and Adaptive Learning (6 papers), Innovative Teaching and Learning Methods (6 papers), Teaching and Learning Programming (4 papers), Impact of Technology on Adolescents (2 papers), Emotion and Mood Recognition (2 papers), Human Motion and Animation (1 paper), Neural and Behavioral Psychology Studies (1 paper) and Robotics and Automated Systems (1 paper). The work is most often cited by research in Computer Science Applications (220 citations), Developmental and Educational Psychology (300 citations), Experimental and Cognitive Psychology (153 citations), Artificial Intelligence (338 citations) and Human-Computer Interaction (46 citations). Robert M. Christopherson has collaborated with scholars based in United States, China and Australia. Frequent co-authors include Winslow Burleson, Kasia Müldner, Ivon Arroyo, David G. Cooper, Beverly Park Woolf, Robert K. Atkinson, Lijia Lin, Robert Dolan, Robert Atkinson and Robert Atkinson. Their work appears in journals such as Computers & Education, Behaviour and Information Technology, Lecture notes in computer science, Frontiers in artificial intelligence and applications and International Conference on Computers in Education.

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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