Duri Long

2.9k citations
41 papers · 1.7k · 1 hit paper · h-index 13

Impact in

Papers in

Duri Long

37 papers receiving 1.7k citations

Duri Long's Hit Papers

What is AI Literacy? Competencies and Design Considerations 2020 · 1.3k citations
1.3k0+2+4Years since publication4008001.2k

Peers

Duri Long
Comparison fields: 5 of 100
  • Health Informatics 260
  • Computer Science Applications 731
  • Safety Research 399
  • Human-Computer Interaction 178
  • Developmental and Educational Psychology 235
Replace Teresa Cerratto Pargman with:
Teresa Cerratto Pargman Sweden
Ashraf Alam India
Jac Ka Lok Leung Hong Kong
Mutlu Cukurova United Kingdom
Fatma Gizem Karaoğlan Yılmaz Türkiye
Shen Qiao Hong Kong
Richmond Y. Wong United States
Kenneth Holstein United States
Jiahong Su Hong Kong
Christine T. Wolf United States
Duri Long relative to Teresa Cerratto Pargman Sweden Teresa Cerratto Pargman's profile →
Citations per field
00.5×3.3×
Teresa Cerratto Pargman · 1×
Citations per year

Countries citing papers authored by Duri Long

Since Specialization
Citations

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

Fields of papers citing papers by Duri Long

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 41 papers — load more, or switch the sort, to bring in the rest.

#Work
1
What is AI Literacy? Competencies and Design Considerations
Hit paper breakdown →
20201296
2 202186
3 201950
4 202235
5 202133
6 201725
7 202320
8 202320
9 202418
10 201916
11 202415
12 202314
13 202412
14 201811
15 202011
16 201911
17 20228
18 20218
19 20158
20 20208

About Duri Long

Duri Long is a scholar working on Computer Science Applications, Human-Computer Interaction, Developmental and Educational Psychology, Artificial Intelligence and Museology, having authored 41 papers that have together received 1.7k indexed citations. Recurring topics across this work include Innovative Human-Technology Interaction (17 papers), Teaching and Learning Programming (11 papers), Online Learning and Analytics (9 papers), Educational Games and Gamification (8 papers), Interactive and Immersive Displays (5 papers), Museums and Cultural Heritage (5 papers), Virtual Reality Applications and Impacts (4 papers) and Human Motion and Animation (4 papers). The work is most often cited by research in Health Informatics (260 citations), Computer Science Applications (731 citations), Safety Research (399 citations), Human-Computer Interaction (178 citations) and Developmental and Educational Psychology (235 citations). Duri Long has collaborated with scholars based in United States and United Kingdom. Frequent co-authors include Brian Magerko, Tom McKlin, Jessica Roberts, Nicholas Davis, William B. Martin, Milka Trajkova, Andrea E. Knowlton, Kun Wang, Jason Carter and Daniella DiPaola. Their work appears in journals such as Proceedings of the ACM on Human-Computer Interaction, ACM Transactions on Computing Education, Proceedings., Designing Interactive Systems Conference and SMARTech Repository (Georgia Institute of Technology).

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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