Ashish Amresh

42 papers receiving 350 citations

Peers

Ashish Amresh
Comparison fields: 5 of 80
  • Applied Psychology 70
  • Computer Science Applications 72
  • Media Technology 79
  • Human-Computer Interaction 35
  • Education 154
Replace Daniel Tolks with:
Daniel Tolks Germany
Iolie Nicolaidou Cyprus
Muhd Al-Aarifin Ismail Malaysia
Antonio Aliás Garcia Spain
Kyle Heyne United States
Christine Bachman United States
Stylianos Hatzipanagos United Kingdom
Laura R. Winer Canada
Chibueze Tobias Orji Nigeria
Jillianne Code Canada
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Citations per field
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Citations per year

Countries citing papers authored by Ashish Amresh

Since Specialization
Citations

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

Fields of papers citing papers by Ashish Amresh

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 48 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2013126
2 201747
3 201523
4 201318
5 201514
6 201814
7 201711
8 20178
9 20178
10 20138
11 20207
12 20166
13 20235
14 20175
15
GameScapes and SimApps: New Techniques for Integrating Rich Narratives with Game Mechanics
20145
16 20145
17 20194
18 20104
19 20174
20 20234

About Ashish Amresh

Ashish Amresh is a scholar working on Computer Science Applications, Developmental and Educational Psychology, Applied Psychology, Human-Computer Interaction and Issues, ethics and legal aspects, having authored 48 papers that have together received 370 indexed citations. Recurring topics across this work include Educational Games and Gamification (17 papers), Teaching and Learning Programming (9 papers), Child Development and Digital Technology (7 papers), Mobile Health and mHealth Applications (6 papers), Online Learning and Analytics (4 papers), Digital Games and Media (4 papers), Digital Mental Health Interventions (4 papers) and Intelligent Tutoring Systems and Adaptive Learning (3 papers). The work is most often cited by research in Applied Psychology (70 citations), Computer Science Applications (72 citations), Media Technology (79 citations), Human-Computer Interaction (35 citations) and Education (154 citations). Ashish Amresh has collaborated with scholars based in United States. Frequent co-authors include Adam Carberry, John Femiani, Kevin Gary, Armando Piña, Madhumita Sinha, Angela Chia‐Chen Chen, Leigh Small, David A. Drachman, Michael Todd and Troy McDaniel. Their work appears in journals such as JMIR Serious Games, Cognitive and Behavioral Practice, Journal of Educational Computing Research, Pediatric Emergency Care and JMIR Pediatrics and Parenting.

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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