Ashok K. Goel

7.6k citations
270 papers · 3.9k indexed · h-index 31
Topics
Design Education and Practice (57 papers)AI-based Problem Solving and Planning (54 papers)Manufacturing Process and Optimization (15 papers)

In The Last Decade

Ashok K. Goel

255 papers receiving 3.6k citations

Peers

Ashok K. Goel
Comparison fields: 5 of 164
  • Mechanical Engineering 1.4k
  • Artificial Intelligence 1.2k
  • Industrial and Manufacturing Engineering 552
  • Management of Technology and Innovation 513
  • Experimental and Cognitive Psychology 441
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Countries citing papers authored by Ashok K. Goel

Since Specialization
Citations

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

Fields of papers citing papers by Ashok K. Goel

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Ashok K. Goel. 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 Ashok K. Goel. The network helps show where Ashok K. Goel may publish in the future.

Co-authorship network of co-authors of Ashok K. Goel

This figure shows the co-authorship network connecting the top 25 collaborators of Ashok K. Goel. A scholar is included among the top collaborators of Ashok K. Goel based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Ashok K. Goel. Ashok K. Goel is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
#WorkIndexed citations
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Why Are Some Online Educational Programs Successful?: A Cognitive Science Perspective.
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3 1
4 1
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An Information Foraging Model of Interactive Analogical Retrieval
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6 1
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Multiple Trajectories for Understanding Ecosystems.
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Design Patterns and Cross-Domain Analogies in Biologically Inspired Sustainable Design
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Connecting the Visible to the Invisible: Helping Middle School Students Understand Complex Ecosystem Processes.
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12 2
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Addressing the Raven's Progressive Matrices Test of "General" Intelligence
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A cognitive model of visual analogical problem-solving transfer
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Localizing planning with functional process models
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Redesigning a Problem-Solver's Operations to Improve Solution Quality.
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Succession of insect pests in Tasar ecosystem in Bihar.
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About Ashok K. Goel

Ashok K. Goel is a scholar working on Artificial Intelligence, Computer Science Applications and Developmental and Educational Psychology, having authored 270 papers that have together received 3.9k indexed citations. Recurring topics across this work include Design Education and Practice (57 papers), AI-based Problem Solving and Planning (54 papers) and Manufacturing Process and Optimization (15 papers). The work is most often cited by research in Management of Technology and Innovation (513 citations), Architecture (88 citations) and Computer Science Applications (301 citations). Ashok K. Goel has collaborated with scholars based in United States, India and United Kingdom. Frequent co-authors include Swaroop Vattam, Michael Helms, Sambasiva R. Bhatta, David Joyner, Spencer Rugaber, Maithilee Kunda, Bharath Chandrasekaran, B. Chandrasekaran, Bryan Wiltgen and Eleni Stroulia. Their work appears in journals such as SHILAP Revista de lepidopterología, Physical review. B, Condensed matter and IEEE Transactions on Pattern Analysis and Machine Intelligence.

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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