Sae Schatz

37 papers receiving 300 citations

Peers

Sae Schatz
Comparison fields: 5 of 75
  • Computer Science Applications 36
  • Cognitive Neuroscience 111
  • Developmental and Educational Psychology 69
  • Human-Computer Interaction 29
  • Experimental and Cognitive Psychology 58
Replace Jennifer J. Vogel-Walcutt with:
Jennifer J. Vogel-Walcutt United States
Frédéric Dandurand Canada
Filip Děchtěrenko Czechia
Auk Kim South Korea
Md. Iftekhar Tanveer United States
Stephanie M. Doane United States
Michela Ponticorvo Italy
Ismael Edrein Espinosa‐Curiel Mexico
Tami Im South Korea
Charlene K. Stokes United States
Sae Schatz relative to Jennifer J. Vogel-Walcutt United States Jennifer J. Vogel-Walcutt's profile →
Citations per field
00.5×1.5×
Jennifer J. Vogel-Walcutt · 1×
Citations per year

Countries citing papers authored by Sae Schatz

Since Specialization
Citations

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

Fields of papers citing papers by Sae Schatz

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Sae Schatz. 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 Sae Schatz. The network helps show where Sae Schatz may publish in the future.

Co-authors

The 24 scholars most cited alongside Sae Schatz, 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 Sae Schatz Line = papers co-authored together Sae Schatz links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 43 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2011130
2
Modernizing Learning: Building The Future Learning Ecosystem
201927
3 201125
4 201321
5 200820
6 201012
7 200910
8 20098
9 20128
10 20128
11 20107
12 20096
13
Scalable POMDPs for Diagnosis and Planning in Intelligent Tutoring Systems
20105
14 20054
15 20164
16 20094
17 20104
18
The Changing Face of Military Learning
20153
19 20083
20
Institutionalizing Blended Learning into Joint Training: A Case Study and Ten Recommendations
20143

About Sae Schatz

Sae Schatz is a scholar working on Artificial Intelligence, Social Psychology, Experimental and Cognitive Psychology, Education and Developmental and Educational Psychology, having authored 43 papers that have together received 344 indexed citations. Recurring topics across this work include Intelligent Tutoring Systems and Adaptive Learning (13 papers), AI-based Problem Solving and Planning (10 papers), Educational Games and Gamification (4 papers), Team Dynamics and Performance (3 papers), Innovative Teaching and Learning Methods (3 papers), Data Visualization and Analytics (3 papers), Higher Education Learning Practices (3 papers) and Human Resource Development and Performance Evaluation (3 papers). The work is most often cited by research in Computer Science Applications (36 citations), Cognitive Neuroscience (111 citations), Developmental and Educational Psychology (69 citations), Human-Computer Interaction (29 citations) and Experimental and Cognitive Psychology (58 citations). Sae Schatz has collaborated with scholars based in United States. Frequent co-authors include Jennifer J. Vogel-Walcutt, Logan Fiorella, Teresa Marino Carper, Denise Nicholson, Clint Bowers, Gita Sukthankar, Rudy McDaniel, Charles E. Hughes, Jennifer Fowlkes and Glenn A. Martin. Their work appears in journals such as Educational Psychology Review, Journal of Cognitive Engineering and Decision Making, Educational Technology Research and Development, ACM Transactions on Intelligent Systems and Technology and Military Psychology.

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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