Hal Abelson

100 papers receiving 4.8k citations

Hal Abelson's Hit Papers

Structure and Interpretation of Computer Programs 1985 · 987 citations
9870+13+27Years since publication250500750

Peers

Hal Abelson
Comparison fields: 5 of 171
  • Computer Science Applications 1.2k
  • Hardware and Architecture 660
  • Software 350
  • Artificial Intelligence 2.3k
  • Computational Theory and Mathematics 930
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Countries citing papers authored by Hal Abelson

Since Specialization
Citations

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

Fields of papers citing papers by Hal Abelson

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 105 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Structure and Interpretation of Computer Programs
Hit paper breakdown →
1985987
2 2000392
3 1998325
4 1981314
5 1991298
6 2008288
7 1998212
8 1986196
9
Turtle Geometry
1981192
10 2019155
11 1985141
12
Fostering Learning in the Networked World: The Cyberlearning Opportunity and Challenge. A 21st Century Agenda for the National Science Foundation
2008132
13 1983127
14 2007120
15
App Inventor: Create Your Own Android Apps
201199
16
Computational disclosure control: a primer on data privacy protection
200199
17 201999
18
Putting Knowledge to Use: Facilitating the Diffusion of Knowledge and the Implementation of Planned Change
198393
19 199790
20 198985

About Hal Abelson

Hal Abelson is a scholar working on Computer Science Applications, Information Systems, Computational Theory and Mathematics, Artificial Intelligence and Hardware and Architecture, having authored 105 papers that have together received 5.7k indexed citations. Recurring topics across this work include Teaching and Learning Programming (21 papers), Online Learning and Analytics (8 papers), Experimental Learning in Engineering (7 papers), Logic, programming, and type systems (6 papers), Mobile and Web Applications (5 papers), Formal Methods in Verification (4 papers), Privacy, Security, and Data Protection (4 papers) and Computability, Logic, AI Algorithms (4 papers). The work is most often cited by research in Computer Science Applications (1.2k citations), Hardware and Architecture (660 citations), Software (350 citations), Artificial Intelligence (2.3k citations) and Computational Theory and Mathematics (930 citations). Hal Abelson has collaborated with scholars based in United States, United Kingdom and Taiwan. Frequent co-authors include Gerald Jay Sussman, Andrea A. diSessa, Julie Sussman, Chris Hanson, Daniel J. Weitzner, David Wolber, Siu Cheung Kong, Gregory W. Brooks, Norman I. Adams and D. H. Bartley. Their work appears in journals such as Communications of the ACM, Journal of Cybersecurity, Journal of Science Education and Technology, Artificial intelligence for engineering design analysis and manufacturing and Journal of Differential Geometry.

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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