Garry J. Tee

60 total papers · 590 total citations
33 papers, 335 citations indexed

About

Garry J. Tee is a scholar working on Numerical Analysis, Computational Theory and Mathematics and History and Philosophy of Science. According to data from OpenAlex, Garry J. Tee has authored 33 papers receiving a total of 335 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Numerical Analysis, 7 papers in Computational Theory and Mathematics and 6 papers in History and Philosophy of Science. Recurrent topics in Garry J. Tee's work include History of Science and Natural History (5 papers), Matrix Theory and Algorithms (5 papers) and Australian Indigenous Culture and History (4 papers). Garry J. Tee is often cited by papers focused on History of Science and Natural History (5 papers), Matrix Theory and Algorithms (5 papers) and Australian Indigenous Culture and History (4 papers). Garry J. Tee collaborates with scholars based in New Zealand, United Kingdom and United States. Garry J. Tee's co-authors include E. S. Page, Reinhard Klette, M. J. Collett, G. W. Hedstrom, Peter Simons, Robin Smith, Harold T. Hodes and David Holdcroft and has published in prestigious journals such as Physics Today, Journal of the Optical Society of America A and Engineering Structures.

In The Last Decade

Garry J. Tee

31 papers receiving 284 citations

Author Peers

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

Author						Papers	Cites
Garry J. Tee	72	48	45	27	27	33	335
John L. Troutman	46 0.6×	34 0.7×	34 0.8×	28 1.0×	30 1.1×	12	311
J. Robert Johnson	109 1.5×	24 0.5×	98 2.2×	26 1.0×	34 1.3×	35	300
R.F. Hoskins	46 0.6×	23 0.5×	36 0.8×	18 0.7×	28 1.0×	21	318
Lee W. Johnson	48 0.7×	48 1.0×	33 0.7×	16 0.6×	14 0.5×	13	319
Chunfeng Cui	140 1.9×	33 0.7×	61 1.4×	26 1.0×	51 1.9×	38	383
F. Grund	52 0.7×	26 0.5×	41 0.9×	18 0.7×	15 0.6×	16	361
Carmeliza Navasca	126 1.8×	34 0.7×	31 0.7×	27 1.0×	47 1.7×	22	349
Suk-Geun Hwang	124 1.7×	17 0.4×	89 2.0×	23 0.9×	36 1.3×	48	305
Yunfeng Cai	70 1.0×	38 0.8×	52 1.2×	14 0.5×	16 0.6×	43	383
Suely Oliveira	94 1.3×	43 0.9×	30 0.7×	40 1.5×	26 1.0×	52	376

Countries citing papers authored by Garry J. Tee

Since Specialization

Citations

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

Fields of papers citing papers by Garry J. Tee

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Garry J. Tee

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