Ryan Hare

414 citations
27 papers · 249 · h-index 8

Impact in

Papers in

Ryan Hare

21 papers receiving 242 citations

Peers

Ryan Hare
Comparison fields: 5 of 57
  • Computer Science Applications 84
  • Human-Computer Interaction 35
  • Developmental and Educational Psychology 65
  • Health Informatics 6
  • Artificial Intelligence 93
Replace Kostas Vassilakis with:
Kostas Vassilakis Greece
Abdul Wahid India
Mohammed Basheri Saudi Arabia
Malinka Ivanova Bulgaria
Rubia Fatima China
Amali Weerasinghe Australia
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Francisco Jurado Spain
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Citations per field
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Citations per year

Countries citing papers authored by Ryan Hare

Since Specialization
Citations

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

Fields of papers citing papers by Ryan Hare

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 12 scholars most cited alongside Ryan Hare, 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 Ryan Hare Line = papers co-authored together Ryan Hare links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 27 papers — load more, or switch the sort, to bring in the rest.

#Work
1 202068
2 202237
3 202221
4 202221
5 202118
6 202317
7 202315
8 202410
9 20206
10 20245
11 20214
12 20224
13 20234
14 20243
15 20243
16 20233
17 20223
18
Letter from zaria.
19682
19 20192
20 19671

About Ryan Hare

Ryan Hare is a scholar working on Developmental and Educational Psychology, Artificial Intelligence, Computer Science Applications, Sociology and Political Science and Media Technology, having authored 27 papers that have together received 249 indexed citations. Recurring topics across this work include Educational Games and Gamification (14 papers), Intelligent Tutoring Systems and Adaptive Learning (11 papers), Online Learning and Analytics (10 papers), Innovative Teaching and Learning Methods (6 papers), Artificial Intelligence in Games (5 papers), Digital Games and Media (2 papers), Virtual Reality Applications and Impacts (2 papers) and Reinforcement Learning in Robotics (2 papers). The work is most often cited by research in Computer Science Applications (84 citations), Human-Computer Interaction (35 citations), Developmental and Educational Psychology (65 citations), Health Informatics (6 citations) and Artificial Intelligence (93 citations). Ryan Hare has collaborated with scholars based in United States, China and South Sudan. Frequent co-authors include Ying Tang, Fei–Yue Wang, Sarah L. Ferguson, Ben Wu, Jiacun Wang, Fangli Xu, Wei Cui, Ying Tang, Chengzhang Zhu and Cheng Zhu. Their work appears in journals such as IEEE Transactions on Computational Social Systems, IEEE Transactions on Systems Man and Cybernetics Systems, IEEE Transactions on Education, IEEE Access and British Journal of Educational 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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