David T. Goddard

19 total papers · 452 total citations
15 papers, 333 citations indexed

About

David T. Goddard is a scholar working on Materials Chemistry, Inorganic Chemistry and Aerospace Engineering. According to data from OpenAlex, David T. Goddard has authored 15 papers receiving a total of 333 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Materials Chemistry, 5 papers in Inorganic Chemistry and 3 papers in Aerospace Engineering. Recurrent topics in David T. Goddard's work include Nuclear Materials and Properties (8 papers), Radioactive element chemistry and processing (5 papers) and Nuclear materials and radiation effects (4 papers). David T. Goddard is often cited by papers focused on Nuclear Materials and Properties (8 papers), Radioactive element chemistry and processing (5 papers) and Nuclear materials and radiation effects (4 papers). David T. Goddard collaborates with scholars based in United Kingdom, United States and Sweden. David T. Goddard's co-authors include Karen M. Bonthrone, Lynne E. Macaskie, Ping Yong, Robin J. Taylor, Colin Gregson, Mark J. Sarsfield, D. D. Wynn‐Williams, A. Steele, Frédéric J. Doucet and Iain S. Denniss and has published in prestigious journals such as Physical Chemistry Chemical Physics, Industrial & Engineering Chemistry Research and Microbiology.

In The Last Decade

David T. Goddard

13 papers receiving 323 citations

Author Peers

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

Author						Papers	Cites
David T. Goddard	183	93	71	54	51	15	333
M.G. Seitz	90 0.5×	59 0.6×	58 0.8×	45 0.8×	16 0.3×	18	360
R. R. Spangler	132 0.7×	24 0.3×	36 0.5×	37 0.7×	59 1.2×	11	303
Andrea Cherkouk	163 0.9×	39 0.4×	84 1.2×	44 0.8×	38 0.7×	24	312
Sandra D. Taylor	98 0.5×	123 1.3×	48 0.7×	15 0.3×	127 2.5×	34	402
Tetsushi Nagano	105 0.6×	31 0.3×	57 0.8×	29 0.5×	50 1.0×	29	368
Uta Gabriel	150 0.8×	40 0.4×	24 0.3×	66 1.2×	47 0.9×	9	331
J.I. Kim	204 1.1×	119 1.3×	61 0.9×	66 1.2×	28 0.5×	18	399
F. Bardot	84 0.5×	98 1.1×	35 0.5×	21 0.4×	36 0.7×	8	373
Allen J. Bakel	76 0.4×	57 0.6×	77 1.1×	47 0.9×	16 0.3×	11	351
Virginia M. Oversby	125 0.7×	110 1.2×	47 0.7×	46 0.9×	6 0.1×	13	376

Countries citing papers authored by David T. Goddard

Since Specialization

Citations

This map shows the geographic impact of David T. Goddard'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. Goddard 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. Goddard more than expected).

Fields of papers citing papers by David T. Goddard

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

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

This figure shows the co-authorship network connecting the top 25 collaborators of David T. Goddard. A scholar is included among the top collaborators of David T. Goddard 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. Goddard. David T. Goddard 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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