Robert Dewar

1k citations
38 papers · 799 · h-index 10

Impact in

Papers in

Robert Dewar

35 papers receiving 672 citations

Peers

Robert Dewar
Comparison fields: 5 of 51
  • Hardware and Architecture 134
  • Artificial Intelligence 470
  • Software 41
  • Computer Science Applications 34
  • Computational Theory and Mathematics 98
Replace Larry M. Masinter with:
Larry M. Masinter United States
Herbert Kuchen Germany
C. Strachey United Kingdom
Edward H. Sussenguth United States
Gabriele Keller Australia
Manuel M. T. Chakravarty Australia
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Humberto Cervantes Mexico
John B. Kam United States
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Citations per field
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Larry M. Masinter · 1×
Citations per year

Countries citing papers authored by Robert Dewar

Since Specialization
Citations

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

Fields of papers citing papers by Robert Dewar

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 20 scholars most cited alongside Robert Dewar, 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 Robert Dewar Line = papers co-authored together Robert Dewar links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 38 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Programming with Sets: An Introduction to SETL
1986227
2 1986161
3 197979
4 196652
5 197552
6 197737
7 196929
8 196922
9 198214
10 197111
11 197110
12 19809
13
Higher level programming : introduction to the use of the set-theoretic programming language SETL
19819
14 19829
15 19797
16 19947
17 20027
18 20127
19 19746
20 19996

About Robert Dewar

Robert Dewar is a scholar working on Artificial Intelligence, Computer Science Applications, Hardware and Architecture, Inorganic Chemistry and Organic Chemistry, having authored 38 papers that have together received 799 indexed citations. Recurring topics across this work include Logic, programming, and type systems (23 papers), Crystal structures of chemical compounds (4 papers), Teaching and Learning Programming (4 papers), Inorganic and Organometallic Chemistry (3 papers), Advanced Software Engineering Methodologies (3 papers), Parallel Computing and Optimization Techniques (2 papers), Algorithms and Data Compression (2 papers) and Organometallic Complex Synthesis and Catalysis (2 papers). The work is most often cited by research in Hardware and Architecture (134 citations), Artificial Intelligence (470 citations), Software (41 citations), Computer Science Applications (34 citations) and Computational Theory and Mathematics (98 citations). Robert Dewar has collaborated with scholars based in United States, Belgium and France. Frequent co-authors include Jacob T. Schwartz, Edith Schonberg, E. Dubinsky, Edmond Schonberg, Everly B. Fleischer, Joseph D. Wright, Audrey Larack Stone, Rowland Pettit, E. Fleischer and Jack Halpern. Their work appears in journals such as Communications of the ACM, ACM Transactions on Programming Languages and Systems, Journal of the American Chemical Society, Management Science and Software Practice and Experience.

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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