Ashwin Ram

4.4k citations
166 papers · 2.9k · h-index 27

Impact in

Papers in

Ashwin Ram

148 papers receiving 2.6k citations

Peers

Ashwin Ram
Comparison fields: 5 of 152
  • Artificial Intelligence 1.8k
  • Developmental and Educational Psychology 286
  • Computer Vision and Pattern Recognition 422
  • Human-Computer Interaction 77
  • Computer Science Applications 73
Replace Diego Pérez-Liébana with:
Diego Pérez-Liébana United Kingdom
Simon Colton United Kingdom
Ehud Reiter United Kingdom
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Robert B. Allen United States
Lawrence A. Birnbaum United States
Koen V. Hindriks Netherlands
Robert P. Goldman United States
Todd Kulesza United States
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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 166 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1997187
2 2007110
3 1997100
4
Transfer learning in real-time strategy games using hybrid CBR/RL
200796
5
Goal-driven learning
199596
6
Efficient Feature Selection in Conceptual Clustering
199794
7 199486
8 199185
9
Proceedings of the Sixteenth Annual Conference of the Cognitive Science Society
199484
10 199979
11 200974
12 201268
13 201967
14 200860
15 201055
16 201051
17 200847
18 201841
19 199538
20 200536

About Ashwin Ram

Ashwin Ram is a scholar working on Artificial Intelligence, Developmental and Educational Psychology, Computer Science Applications, Computer Vision and Pattern Recognition and Human-Computer Interaction, having authored 166 papers that have together received 2.9k indexed citations. Recurring topics across this work include AI-based Problem Solving and Planning (54 papers), Artificial Intelligence in Games (23 papers), Logic, Reasoning, and Knowledge (16 papers), Robotic Path Planning Algorithms (13 papers), Topic Modeling (11 papers), Semantic Web and Ontologies (10 papers), Machine Learning and Algorithms (9 papers) and Natural Language Processing Techniques (9 papers). The work is most often cited by research in Artificial Intelligence (1.8k citations), Developmental and Educational Psychology (286 citations), Computer Vision and Pattern Recognition (422 citations), Human-Computer Interaction (77 citations) and Computer Science Applications (73 citations). Ashwin Ram has collaborated with scholars based in United States, Singapore and Germany. Frequent co-authors include Michael T. Cox, David B. Leake, Juan Carlos Santamaria, Santiago Ontañón, Kevin C. Chung, Richard S. Sutton, Manish Mehta, Ronald C. Arkin, Manu Sharma and Shengdong Zhao. Their work appears in journals such as The Journal Of Hand Surgery, Proceedings of the ACM on Interactive Mobile Wearable and Ubiquitous Technologies, Artificial Intelligence, Plastic & Reconstructive Surgery and Journal of the Learning Sciences.

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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