Ashwin Ram
- Artificial Intelligence top 1%
- AI-based Problem Solving and Planning 38
- Artificial Intelligence in Games 17
- Topic Modeling 10
- Logic, Reasoning, and Knowledge 9
- Semantic Web and Ontologies 7
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- Innovative Teaching and Learning Methods 7
- Educational Games and Gamification 7
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- Robotic Path Planning Algorithms 11
- General Decision Sciences top 10%
- Co-authors
- Juan Carlos SantamariaDavid LeakeRichard S. SuttonMichael T. CoxRonald C. ArkinManu SharmaSantiago OntañónManish Mehta
- Cited by
- Artificial IntelligenceDevelopmental and Educational PsychologyComputer Vision and Pattern Recognition
- Journals
- Artificial Intelligence (3 papers)Journal of the Learning Sciences (3 papers)Proceedings of the ACM on Interactive Mobile Wearable and Ubiquitous Technologies (3 papers)
- Partner nations
- United StatesSingaporeIndia
In The Last Decade
Ashwin Ram
110 papers receiving 1.5k citations
Peers
Comparison fields: 5 of 117
- Artificial Intelligence 1.2k
- Developmental and Educational Psychology 225
- Computer Vision and Pattern Recognition 288
- Computer Science Applications 59
- General Decision Sciences 19
Countries citing papers authored by Ashwin Ram
This map shows the geographic impact of Ashwin Ram'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 Ashwin Ram with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ashwin Ram more than expected).
Fields of papers citing papers by Ashwin Ram
This network shows the impact of papers produced by Ashwin Ram. 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 Ashwin Ram. The network helps show where Ashwin Ram may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Ashwin Ram, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2025 | 0 | |
| 2 | 2024 | 0 | |
| 3 | 2024 | 1 | |
| 4 | 2024 | 4 | |
| 5 | 2024 | 12 | |
| 6 | 2023 | 7 | |
| 7 | Learning Opponent Strategies through First Order Induction | 2011 | 2 |
| 8 | Socio-Semantic Health Information Access | 2011 | 12 |
| 9 | 2009 | 1 | |
| 10 | 2008 | 1 | |
| 11 | 2008 | 3 | |
| 12 | Transfer learning in real-time strategy games using hybrid CBR/RL | 2007 | 75 |
| 13 | Drama Management Evaluation for Interactive Fiction Games | 2007 | 3 |
| 14 | Towards runtime behavior adaptation for embodied characters | 2007 | 6 |
| 15 | 2007 | 7 | |
| 16 | A Web-Based System to Bring PBL into Your Classroom | 2004 | 3 |
| 17 | Understanding language understanding: computational models of reading | 1999 | 32 |
| 18 | 1997 | 1 | |
| 19 | Question-driven Parsing : A New Approach to Natural Language Understanding ( 「次世代自然言語処理技術」) | 1988 | 2 |
| 20 | AQUA: asking questions and understanding answers | 1987 | 17 |
About Ashwin Ram
Ashwin Ram is a scholar working on Artificial Intelligence, Computer Science Applications and Developmental and Educational Psychology, having authored 117 papers that have together received 1.8k indexed citations. Recurring topics across this work include AI-based Problem Solving and Planning (38 papers), Artificial Intelligence in Games (17 papers), Robotic Path Planning Algorithms (11 papers), Topic Modeling (10 papers), Logic, Reasoning, and Knowledge (9 papers), Innovative Teaching and Learning Methods (7 papers), Educational Games and Gamification (7 papers) and Semantic Web and Ontologies (7 papers). The work is most often cited by research in Artificial Intelligence (1.2k citations), Developmental and Educational Psychology (225 citations) and Computer Vision and Pattern Recognition (288 citations). Ashwin Ram has collaborated with scholars based in United States, Singapore and India. Frequent co-authors include Juan Carlos Santamaria, David Leake, Richard S. Sutton, Michael T. Cox, Ronald C. Arkin, Manu Sharma, Santiago Ontañón, Manish Mehta, Shengdong Zhao and Gary Boone. Their work appears in journals such as Artificial Intelligence, Journal of the Learning Sciences, Proceedings of the ACM on Interactive Mobile Wearable and Ubiquitous Technologies, AI Magazine and Adaptive Behavior.
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.