Richard Bornat

1.5k total citations
39 papers, 660 citations indexed

About

Richard Bornat is a scholar working on Artificial Intelligence, Computational Theory and Mathematics and Computer Science Applications. According to data from OpenAlex, Richard Bornat has authored 39 papers receiving a total of 660 indexed citations (citations by other indexed papers that have themselves been cited), including 23 papers in Artificial Intelligence, 13 papers in Computational Theory and Mathematics and 9 papers in Computer Science Applications. Recurrent topics in Richard Bornat's work include Logic, programming, and type systems (18 papers), Formal Methods in Verification (12 papers) and Teaching and Learning Programming (9 papers). Richard Bornat is often cited by papers focused on Logic, programming, and type systems (18 papers), Formal Methods in Verification (12 papers) and Teaching and Learning Programming (9 papers). Richard Bornat collaborates with scholars based in United Kingdom, New Zealand and Australia. Richard Bornat's co-authors include Cristiano Calcagno, Matthew Parkinson, Peter W. O’Hearn, Norma P. Simon, J G. Brotherston, Hongseok Yang, J. Michael Brady, Pat Fung, Ray J Adams and Steve Reeves and has published in prestigious journals such as Computers & Education, Computer Physics Communications and Theoretical Computer Science.

In The Last Decade

Richard Bornat

35 papers receiving 592 citations

Peers

Richard Bornat
Comparison fields: 5 of 48
  • Artificial Intelligence 469
  • Computer Networks and Communications 239
  • Computational Theory and Mathematics 234
  • Hardware and Architecture 147
  • Computer Science Applications 128
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Citations per field, relative to Richard Bornat
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Citations per year, relative to Richard Bornat
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Countries citing papers authored by Richard Bornat

Since Specialization
Citations

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

Fields of papers citing papers by Richard Bornat

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Richard Bornat

This figure shows the co-authorship network connecting the top 25 collaborators of Richard Bornat. A scholar is included among the top collaborators of Richard Bornat 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 Bornat. Richard Bornat 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
# Work Indexed citations
1
Observing Mental Models in Novice Programmers.
7
2
Meta-analysis of the effect of consistency on success in early learning of programming.
15
3 30
4 65
5 21
6 194
7 33
8 15
9 2
10
Local reasoning, separation and aliasing
18
11
Computer science undergraduates learning logic using a proof editor: work in progress.
2
12 9
13 1
14 6
15 8
16
Tools for creating intelligent computer tutors
18
17
Finding blobs of writing in the Fortran coding-sheets project
4
18
Does AI programming really have to be like knitting with spaghetti
1
19 4
20 9

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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