Erik Andersen

1.5k citations
34 papers · 963 indexed · h-index 18

Erik Andersen

34 papers receiving 916 citations

Peers

Erik Andersen
Comparison fields: 5 of 89
  • Computer Science Applications 206
  • Human-Computer Interaction 163
  • Developmental and Educational Psychology 353
  • Artificial Intelligence 402
  • Software 36
Replace Marcelo Soares Pimenta with:
Marcelo Soares Pimenta Brazil
Claude Frasson Canada
Darren Edge China
Steven A. Wolfman United States
Geber Ramalho Brazil
Martha E. Crosby United States
Alf Inge Wang Norway
Christian Gütl Austria
Gillian Smith United States
Danial Hooshyar South Korea
Erik Andersen relative to Marcelo Soares Pimenta Brazil Marcelo Soares Pimenta's profile →
Citations per field
00.5×1.5×2.4×
Marcelo Soares Pimenta · 1×
Citations per year

Countries citing papers authored by Erik Andersen

Since Specialization
Citations

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

Fields of papers citing papers by Erik Andersen

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20214
2 20209
3 20191
4 201954
5 20198
6 20182
7 20189
8 20177
9 20178
10 20179
11 20169
12 201623
13
Programming by Demonstration Framework applied to Procedural Math Problems
20142
14
Predicting player moves in an educational game: A hybrid approach
201312
15 201245
16 2012106
17 201262
18 201131
19 199013
20 198820

About Erik Andersen

Erik Andersen is a scholar working on Computer Science Applications, Developmental and Educational Psychology, Software, Artificial Intelligence and Human-Computer Interaction, having authored 34 papers that have together received 963 indexed citations. Recurring topics across this work include Artificial Intelligence in Games (11 papers), Educational Games and Gamification (11 papers), Teaching and Learning Programming (10 papers), Intelligent Tutoring Systems and Adaptive Learning (7 papers), Video Analysis and Summarization (5 papers), Digital Games and Media (4 papers), Data Visualization and Analytics (4 papers) and Online Learning and Analytics (3 papers). The work is most often cited by research in Computer Science Applications (206 citations), Human-Computer Interaction (163 citations), Developmental and Educational Psychology (353 citations), Artificial Intelligence (402 citations) and Software (36 citations). Erik Andersen has collaborated with scholars based in United States, Canada and United Kingdom. Frequent co-authors include Zoran Popović, Yun-En Liu, Lei Yang, Sumit Gulwani, Seth Cooper, Adam M. Smith, Eleanor O’Rourke, Michael Mateas, Zikai Alex Wen and Malte Jung. Their work appears in journals such as American Journal of Public Health, Language Learning, ACM Transactions on Graphics, Educational Data Mining and Proceedings of the AAAI Conference on Artificial Intelligence and Interactive Digital Entertainment.

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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