Richard R. Burton

2.4k total citations · 1 hit paper
21 papers, 1.4k citations indexed

About

Richard R. Burton is a scholar working on Artificial Intelligence, Computer Science Applications and Information Systems. According to data from OpenAlex, Richard R. Burton has authored 21 papers receiving a total of 1.4k indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Artificial Intelligence, 4 papers in Computer Science Applications and 2 papers in Information Systems. Recurrent topics in Richard R. Burton's work include Intelligent Tutoring Systems and Adaptive Learning (9 papers), Teaching and Learning Programming (4 papers) and Speech and dialogue systems (3 papers). Richard R. Burton is often cited by papers focused on Intelligent Tutoring Systems and Adaptive Learning (9 papers), Teaching and Learning Programming (4 papers) and Speech and dialogue systems (3 papers). Richard R. Burton collaborates with scholars based in United States, Colombia and Russia. Richard R. Burton's co-authors include John Seely Brown, Frank Zdybel, Alexander N. Gorban, Ivan Tyukin, Larry Masinter, Ronald M. Kaplan, Daniel G. Bobrow, Ian Smith, Robert Bobrow and Victoria Bellotti and has published in prestigious journals such as Information Sciences, Cognitive Science and ENLIGHTEN (Jurnal Bimbingan dan Konseling Islam).

In The Last Decade

Richard R. Burton

21 papers receiving 1.1k citations

Hit Papers

Diagnostic Models for Procedural Bugs in Basic Mathematic... 1978 2026 1994 2010 1978 250 500 750
What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

  1. Diagnostic Models for Procedural Bugs in Basic Mathematical Skills*
    1978 751 citations John Seely Brown, Richard R. Burton Cognitive Science profile →

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Richard R. Burton United States 12 831 442 332 217 166 21 1.4k
C. Franklin Boyle United States 4 1.3k 1.5× 786 1.8× 456 1.4× 585 2.7× 44 0.3× 6 2.0k
Beverly Park Woolf United States 22 1.1k 1.3× 715 1.6× 297 0.9× 799 3.7× 42 0.3× 115 1.9k
Dennis E. Egan United States 13 289 0.3× 281 0.6× 127 0.4× 63 0.3× 40 0.2× 21 1.0k
Manolis Mavrikis United Kingdom 20 670 0.8× 709 1.6× 494 1.5× 822 3.8× 58 0.3× 109 1.6k
Robert Farrell United States 15 707 0.9× 296 0.7× 103 0.3× 266 1.2× 20 0.1× 42 1.4k
Theo J. H. M. Eggen Netherlands 15 187 0.2× 402 0.9× 645 1.9× 211 1.0× 103 0.6× 44 1.2k
Michael C. Loui United States 21 229 0.3× 228 0.5× 418 1.3× 403 1.9× 26 0.2× 146 1.6k
George W. Ernst United States 12 432 0.5× 213 0.5× 101 0.3× 21 0.1× 37 0.2× 31 818
John Stamper United States 16 665 0.8× 431 1.0× 188 0.6× 778 3.6× 18 0.1× 66 1.2k
Marie Bienkowski United States 12 290 0.3× 492 1.1× 155 0.5× 545 2.5× 15 0.1× 42 1.1k

Countries citing papers authored by Richard R. Burton

Since Specialization
Citations

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

Fields of papers citing papers by Richard R. Burton

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Richard R. Burton. 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 Richard R. Burton. The network helps show where Richard R. Burton may publish in the future.

Co-authorship network of co-authors of Richard R. Burton

This figure shows the co-authorship network connecting the top 25 collaborators of Richard R. Burton. A scholar is included among the top collaborators of Richard R. Burton 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 Richard R. Burton. Richard R. Burton 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
1.
Gorban, Alexander N., et al.. (2019). One-trial correction of legacy AI systems and stochastic separation theorems. Information Sciences. 484. 237–254. 15 indexed citations
2.
Burton, Richard R.. (2008). Biomedical Calculations: Principles and Practice. ENLIGHTEN (Jurnal Bimbingan dan Konseling Islam). 7 indexed citations
3.
Bellotti, Victoria, et al.. (2002). XP In A Research Lab: The Hunt For Strategic Value. 4 indexed citations
4.
Burton, Richard R., et al.. (1980). Overview and status of DoradoLisp. 243–247. 11 indexed citations
5.
Burton, Richard R. & John Seely Brown. (1979). An investigation of computer coaching for informal learning activities. International Journal of Man-Machine Studies. 11(1). 5–24. 314 indexed citations
6.
Brown, John Seely & Richard R. Burton. (1978). Diagnostic Models for Procedural Bugs in Basic Mathematical Skills*. Cognitive Science. 2(2). 155–192. 751 indexed citations breakdown →
7.
Brown, John Seely & Richard R. Burton. (1978). A paradigmatic example of an artificially intelligent instructional system. International Journal of Man-Machine Studies. 10(3). 323–339. 21 indexed citations
8.
Brown, John Seely, et al.. (1977). Representing and using procedural bugs for educational purposes. 247–255. 14 indexed citations
9.
Burton, Richard R.. (1977). Semantic grammar. ACM SIGART Bulletin. 26–26. 74 indexed citations
10.
Burton, Richard R.. (1976). Semantic grammar: a technique for efficient language understanding in limited domains.. 11 indexed citations
11.
Burton, Richard R. & John Seely Brown. (1976). A tutoring and student modelling paradigm for gaming environments. ACM SIGCSE Bulletin. 8(1). 236–246. 10 indexed citations
12.
Burton, Richard R. & John Seely Brown. (1976). A tutoring and student modelling paradigm for gaming environments. ACM SIGCUE Outlook. 10(SI). 236–246. 2 indexed citations
13.
Burton, Richard R. & John Seely Brown. (1976). A tutoring and student modelling paradigm for gaming environments. 236–246. 40 indexed citations
14.
Brown, John Seely, et al.. (1975). SOPHIE: A Step toward creating a reactive learning environment. International Journal of Man-Machine Studies. 7(5). 675–696. 76 indexed citations
15.
Brown, John Seely, et al.. (1974). Sophisticated Instructional Environment for Teaching Electronic Troubleshooting.. Final Report. 20 indexed citations
16.
Brown, John Seely & Richard R. Burton. (1974). SOPHIE. 2. 571–571. 21 indexed citations
17.
Brown, John Seely, Richard R. Burton, & Frank Zdybel. (1973). Correction to "A Model-Driven Question-Answering System for Mixed-Initiative Computer-Assisted Construction". IEEE Transactions on Systems Man and Cybernetics. SMC-3(6). 647–647. 1 indexed citations
18.
Bobrow, Robert, et al.. (1973). UCI LISP Manual. 3 indexed citations
19.
Brown, John Seely, Richard R. Burton, & Frank Zdybel. (1973). A Model-Driven Question-Answering System for Mixed-Initiative Computer-Assisted Construction. IEEE Transactions on Systems Man and Cybernetics. SMC-3(3). 248–257. 22 indexed citations
20.
Brown, John Seely, Richard R. Burton, & Frank Zdybel. (1972). A model driven question- answering system for a CAI environment. eScholarship (California Digital Library). 3 indexed citations

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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