Ashwin Ram

3.8k citations
117 papers · 1.8k · h-index 23

Impact in

Papers in

Ashwin Ram

110 papers receiving 1.5k citations

Peers

Ashwin Ram
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
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Citations per field
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Citations per year

Countries citing papers authored by Ashwin Ram

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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-authors

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.

Border = papers with Ashwin Ram Line = papers co-authored together Ashwin Ram links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 117 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1997157
2
Transfer learning in real-time strategy games using hybrid CBR/RL
200775
3 199475
4
Efficient Feature Selection in Conceptual Clustering
199774
5
Goal-driven learning
199574
6 199174
7 199770
8
Proceedings of the Sixteenth Annual Conference of the Cognitive Science Society
199470
9 199956
10 201046
11 201042
12 199341
13 200840
14 201837
15
Understanding language understanding: computational models of reading
199932
16 200531
17 199125
18
On Evaluating and Comparing Conversational Agents
201824
19
Needles in a Haystack: Plan Recognition in Large Spatial Domains Involving Multiple Agents
199824
20
Cognitive media types for multimedia information access
199523

About Ashwin Ram

Ashwin Ram is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition, Developmental and Educational Psychology, Information Systems and Computer Science Applications, 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), Semantic Web and Ontologies (7 papers), Innovative Teaching and Learning Methods (7 papers) and Educational Games and Gamification (7 papers). The work is most often cited by research in Artificial Intelligence (1.2k citations), Developmental and Educational Psychology (225 citations), Computer Vision and Pattern Recognition (288 citations), Computer Science Applications (59 citations) and General Decision Sciences (19 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, Adaptive Behavior and AI Magazine.

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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