Beth Adelson

24 papers receiving 1.3k citations

Peers

Beth Adelson
Comparison fields: 5 of 98
  • Computer Science Applications 272
  • Human-Computer Interaction 107
  • Information Systems 339
  • General Decision Sciences 33
  • Experimental and Cognitive Psychology 173
Replace Jeff J. S. Huang with:
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Citations per field
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Citations per year

Countries citing papers authored by Beth Adelson

Since Specialization
Citations

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

Fields of papers citing papers by Beth Adelson

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Beth Adelson. 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 Beth Adelson. The network helps show where Beth Adelson may publish in the future.

Co-authors

The 12 scholars most cited alongside Beth Adelson, 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 Beth Adelson Line = papers co-authored together Beth Adelson links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 27 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1984333
2 1981321
3 1985318
4 2009158
5
Knowledge and processes in the comprehension of computer programs.
198890
6 198669
7 198042
8 199935
9 198528
10 198924
11 200314
12 199213
13 19867
14 19897
15 19985
16 20085
17 19904
18
The Role of Analogy in a Theory of Problem-Solving
19883
19 20103
20
Analogical Learning: Mapping and Integrating Partial Mental Models
19872

About Beth Adelson

Beth Adelson is a scholar working on Human-Computer Interaction, Artificial Intelligence, Experimental and Cognitive Psychology, Computer Science Applications and Mechanical Engineering, having authored 27 papers that have together received 1.5k indexed citations. Recurring topics across this work include AI-based Problem Solving and Planning (8 papers), Design Education and Practice (6 papers), Usability and User Interface Design (4 papers), Teaching and Learning Programming (3 papers), Language, Metaphor, and Cognition (3 papers), Personal Information Management and User Behavior (2 papers), Innovative Human-Technology Interaction (2 papers) and Conflict Management and Negotiation (2 papers). The work is most often cited by research in Computer Science Applications (272 citations), Human-Computer Interaction (107 citations), Information Systems (339 citations), General Decision Sciences (33 citations) and Experimental and Cognitive Psychology (173 citations). Beth Adelson has collaborated with scholars based in United States and India. Frequent co-authors include Elliot M. Soloway, Kate Ehrlich, Henry Lederer Roediger III, Patricia L. Gerbarg, Dindagur Nagaraja, Bangalore N. Gangadhar, S. Marcus, Thomas T. Hewett, Mark H. Burstein and Dedre Gentner. Their work appears in journals such as Journal of the Franklin Institute, Memory & Cognition, Research in Engineering Design, International Journal of Intelligent Systems and Cognitive Science.

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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