D. J. Shoesmith

27 total papers · 593 total citations
4 papers, 337 citations indexed

About

D. J. Shoesmith is a scholar working on Artificial Intelligence, Computational Theory and Mathematics and Infectious Diseases. According to data from OpenAlex, D. J. Shoesmith has authored 4 papers receiving a total of 337 indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Artificial Intelligence, 2 papers in Computational Theory and Mathematics and 0 papers in Infectious Diseases. Recurrent topics in D. J. Shoesmith's work include Logic, Reasoning, and Knowledge (4 papers), Advanced Algebra and Logic (2 papers) and Semantic Web and Ontologies (1 paper). D. J. Shoesmith is often cited by papers focused on Logic, Reasoning, and Knowledge (4 papers), Advanced Algebra and Logic (2 papers) and Semantic Web and Ontologies (1 paper). D. J. Shoesmith collaborates with scholars based in South Sudan and United Kingdom. D. J. Shoesmith's co-authors include Timothy Smiley and Neil Tennant and has published in prestigious journals such as The Philosophical Quarterly, Journal of Symbolic Logic and Journal of Graph Theory.

In The Last Decade

D. J. Shoesmith

3 papers receiving 291 citations

Author Peers

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

Author Last Decade Papers Cites
D. J. Shoesmith 299 261 52 18 12 4 337
Perry Smith 131 0.4× 119 0.5× 45 0.9× 29 1.6× 18 1.5× 11 304
R. E. Vesley 229 0.8× 263 1.0× 27 0.5× 8 0.4× 18 1.5× 9 365
Kent Petersson 349 1.2× 230 0.9× 8 0.2× 6 0.3× 2 0.2× 7 375
Peter G�rdenfors 169 0.6× 41 0.2× 16 0.3× 39 2.2× 22 1.8× 8 351
Clifford Spector 116 0.4× 269 1.0× 13 0.3× 5 0.3× 4 0.3× 4 313
Yehuda Rav 33 0.1× 72 0.3× 62 1.2× 38 2.1× 64 5.3× 6 299
William N. Reinhardt 57 0.2× 186 0.7× 55 1.1× 21 1.2× 21 1.8× 8 307
Phillip Kaye 318 1.1× 113 0.4× 3 0.1× 3 0.2× 5 363
Yuichi Komori 227 0.8× 319 1.2× 7 0.1× 2 0.1× 2 0.2× 17 346
J. Koch 24 0.1× 243 0.9× 3 0.1× 2 0.1× 6 0.5× 4 350

Countries citing papers authored by D. J. Shoesmith

Since Specialization
Citations

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

Fields of papers citing papers by D. J. Shoesmith

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by D. J. Shoesmith. 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 D. J. Shoesmith. The network helps show where D. J. Shoesmith may publish in the future.

Co-authorship network of co-authors of D. J. Shoesmith

This figure shows the co-authorship network connecting the top 25 collaborators of D. J. Shoesmith. A scholar is included among the top collaborators of D. J. Shoesmith 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 D. J. Shoesmith. D. J. Shoesmith 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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