Ashok K. Goel

7.6k citations
270 papers · 3.9k indexed · h-index 31

Ashok K. Goel

255 papers receiving 3.6k citations

Peers

Ashok K. Goel
Comparison fields: 5 of 164
  • Management of Technology and Innovation 513
  • Architecture 88
  • Computer Science Applications 301
  • Industrial and Manufacturing Engineering 552
  • Mechanical Engineering 1.4k
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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

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

All Works

20 of 20 papers shown
#Work
1 20252
2
Why Are Some Online Educational Programs Successful?: A Cognitive Science Perspective.
20192
3 20141
4 20131
5
An Information Foraging Model of Interactive Analogical Retrieval
20132
6 20121
7 20121
8 20121
9
Multiple Trajectories for Understanding Ecosystems.
20129
10
Design Patterns and Cross-Domain Analogies in Biologically Inspired Sustainable Design
20116
11
Connecting the Visible to the Invisible: Helping Middle School Students Understand Complex Ecosystem Processes.
20105
12 20092
13
Addressing the Raven's Progressive Matrices Test of "General" Intelligence
20099
14 20085
15
A cognitive model of visual analogical problem-solving transfer
20051
16
Localizing planning with functional process models
20038
17
Redesigning a Problem-Solver's Operations to Improve Solution Quality.
19978
18 19926
19
Succession of insect pests in Tasar ecosystem in Bihar.
19920
20 19900

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), Manufacturing Process and Optimization (15 papers), Product Development and Customization (15 papers), Software Engineering Research (14 papers), Reinforcement Learning in Robotics (14 papers), Evolutionary Algorithms and Applications (14 papers) and Child and Animal Learning Development (14 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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