David T. Barnard

61 total papers · 521 total citations
38 papers, 234 citations indexed

About

David T. Barnard is a scholar working on Artificial Intelligence, Hardware and Architecture and Computational Theory and Mathematics. According to data from OpenAlex, David T. Barnard has authored 38 papers receiving a total of 234 indexed citations (citations by other indexed papers that have themselves been cited), including 17 papers in Artificial Intelligence, 10 papers in Hardware and Architecture and 10 papers in Computational Theory and Mathematics. Recurrent topics in David T. Barnard's work include Natural Language Processing Techniques (9 papers), Parallel Computing and Optimization Techniques (9 papers) and Algorithms and Data Compression (6 papers). David T. Barnard is often cited by papers focused on Natural Language Processing Techniques (9 papers), Parallel Computing and Optimization Techniques (9 papers) and Algorithms and Data Compression (6 papers). David T. Barnard collaborates with scholars based in Canada, United States and United Kingdom. David T. Barnard's co-authors include Richard C. Holt, David B. Skillicorn, James R. Cordy, Selim G. Akl, David B. Wortman, Nancy Ide, Robert Stanley, John Mcfadden, George B. Logan and Scott Smith and has published in prestigious journals such as IEEE Transactions on Pattern Analysis and Machine Intelligence, The Journal of Physical Chemistry B and Biochemistry.

In The Last Decade

David T. Barnard

35 papers receiving 203 citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
David T. Barnard 124 48 42 34 33 38 234
James M. Welsh 123 1.0× 55 1.1× 59 1.4× 53 1.6× 86 2.6× 38 286
Saul Gorn 101 0.8× 32 0.7× 90 2.1× 20 0.6× 15 0.5× 40 250
Michael Sperber 209 1.7× 72 1.5× 90 2.1× 42 1.2× 101 3.1× 43 325
Baden Hughes 166 1.3× 29 0.6× 7 0.2× 34 1.0× 7 0.2× 32 226
Vincent Quint 130 1.0× 125 2.6× 39 0.9× 107 3.1× 4 0.1× 31 300
Sara Capecchi 134 1.1× 66 1.4× 46 1.1× 55 1.6× 11 0.3× 33 238
Chris Scogings 49 0.4× 40 0.8× 24 0.6× 22 0.6× 7 0.2× 49 247
Mateja Jamnik 166 1.3× 19 0.4× 34 0.8× 35 1.0× 4 0.1× 46 321
M.C.J.D. van Eekelen 181 1.5× 48 1.0× 102 2.4× 43 1.3× 61 1.8× 48 274
Steve Roach 67 0.5× 122 2.5× 33 0.8× 32 0.9× 33 1.0× 36 325

Countries citing papers authored by David T. Barnard

Since Specialization
Citations

This map shows the geographic impact of David T. Barnard'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 David T. Barnard with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites David T. Barnard more than expected).

Fields of papers citing papers by David T. Barnard

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by David T. Barnard. 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 David T. Barnard. The network helps show where David T. Barnard may publish in the future.

Co-authorship network of co-authors of David T. Barnard

This figure shows the co-authorship network connecting the top 25 collaborators of David T. Barnard. A scholar is included among the top collaborators of David T. Barnard 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 David T. Barnard. David T. Barnard is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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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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