John N. Crossley

244 total papers · 1.3k total citations
66 papers, 366 citations indexed

About

John N. Crossley is a scholar working on Artificial Intelligence, Computational Theory and Mathematics and Anthropology. According to data from OpenAlex, John N. Crossley has authored 66 papers receiving a total of 366 indexed citations (citations by other indexed papers that have themselves been cited), including 16 papers in Artificial Intelligence, 13 papers in Computational Theory and Mathematics and 12 papers in Anthropology. Recurrent topics in John N. Crossley's work include Philippine History and Culture (10 papers), Logic, programming, and type systems (8 papers) and History and Theory of Mathematics (6 papers). John N. Crossley is often cited by papers focused on Philippine History and Culture (10 papers), Logic, programming, and type systems (8 papers) and History and Theory of Mathematics (6 papers). John N. Crossley collaborates with scholars based in Australia, United States and United Kingdom. John N. Crossley's co-authors include Imre Lakatos, Anthony W -C Lun, Frank Swetz, Anil Nerode, Martin Wirsing, Peter Aczel, Alfred B. Manaster, R. A. G. Seely, Richard A. Shore and Robert L. Constable and has published in prestigious journals such as American Mathematical Monthly, Theoretical Computer Science and Bulletin of the London Mathematical Society.

In The Last Decade

John N. Crossley

47 papers receiving 295 citations

Author Peers

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

Author						Papers	Cites
John N. Crossley	107	79	68	59	45	66	366
Richard Dedekind	87 0.8×	59 0.7×	146 2.1×	110 1.9×	72 1.6×	19	350
Colin McLarty	90 0.8×	83 1.1×	130 1.9×	93 1.6×	60 1.3×	38	312
Dirk Schlimm	27 0.3×	37 0.5×	121 1.8×	107 1.8×	98 2.2×	40	329
Israel Kleiner	33 0.3×	22 0.3×	117 1.7×	31 0.5×	12 0.3×	38	342
Constance Reid	28 0.3×	23 0.3×	65 1.0×	68 1.2×	19 0.4×	32	301
John P. Mayberry	86 0.8×	39 0.5×	67 1.0×	84 1.4×	96 2.1×	22	319
Karen Hunger Parshall	26 0.2×	13 0.2×	203 3.0×	107 1.8×	7 0.2×	46	343
Richard S. Millman	29 0.3×	17 0.2×	67 1.0×	21 0.4×	5 0.1×	36	349
David Sherry	15 0.1×	15 0.2×	176 2.6×	149 2.5×	36 0.8×	36	321
Gerald L. Alexanderson	57 0.5×	34 0.4×	64 0.9×	15 0.3×	9 0.2×	91	369

Countries citing papers authored by John N. Crossley

Since Specialization

Citations

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

Fields of papers citing papers by John N. Crossley

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by John N. Crossley. 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 John N. Crossley. The network helps show where John N. Crossley may publish in the future.

Co-authorship network of co-authors of John N. Crossley

This figure shows the co-authorship network connecting the top 25 collaborators of John N. Crossley. A scholar is included among the top collaborators of John N. Crossley 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 John N. Crossley. John N. Crossley 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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