Tam Larkin

110 total papers · 1.1k total citations
72 papers, 857 citations indexed

About

Tam Larkin is a scholar working on Civil and Structural Engineering, Computational Mechanics and Geophysics. According to data from OpenAlex, Tam Larkin has authored 72 papers receiving a total of 857 indexed citations (citations by other indexed papers that have themselves been cited), including 56 papers in Civil and Structural Engineering, 14 papers in Computational Mechanics and 11 papers in Geophysics. Recurrent topics in Tam Larkin's work include Seismic Performance and Analysis (24 papers), Geotechnical Engineering and Underground Structures (22 papers) and Geotechnical Engineering and Soil Mechanics (16 papers). Tam Larkin is often cited by papers focused on Seismic Performance and Analysis (24 papers), Geotechnical Engineering and Underground Structures (22 papers) and Geotechnical Engineering and Soil Mechanics (16 papers). Tam Larkin collaborates with scholars based in New Zealand, France and China. Tam Larkin's co-authors include Nawawi Chouw, Michael Pender, Chris Van Houtte, Douglas J. Wilson, Naresh Singhal, Olga‐Joan Ktenidou, Caroline Holden, D.K. Bull, G. H. McVerry and Kun Wang and has published in prestigious journals such as The Science of The Total Environment, Construction and Building Materials and Earth-Science Reviews.

In The Last Decade

Tam Larkin

69 papers receiving 796 citations

Author Peers

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

Author						Papers	Cites
Tam Larkin	644	245	103	75	55	72	857
Y. Liu	792 1.2×	49 0.2×	64 0.6×	16 0.2×	139 2.5×	82	1.1k
Zhiqing Zhang	545 0.8×	89 0.4×	45 0.4×	106 1.4×	103 1.9×	47	777
Maciej Niedostatkiewicz	373 0.6×	192 0.8×	71 0.7×	27 0.4×	178 3.2×	62	802
Dieter Stolle	722 1.1×	277 1.1×	27 0.3×	21 0.3×	128 2.3×	86	1.0k
R. K. Srivastava	157 0.2×	191 0.8×	68 0.7×	98 1.3×	93 1.7×	81	710
Feng Zhang	628 1.0×	79 0.3×	58 0.6×	10 0.1×	137 2.5×	55	952
Chengqing Liu	697 1.1×	31 0.1×	20 0.2×	96 1.3×	76 1.4×	68	996
Aaron S. Bradshaw	789 1.2×	29 0.1×	70 0.7×	17 0.2×	49 0.9×	66	908
Fei Han	719 1.1×	93 0.4×	7 0.1×	34 0.5×	70 1.3×	64	918
Denise‐Penelope N. Kontoni	604 0.9×	52 0.2×	14 0.1×	57 0.8×	45 0.8×	97	776

Countries citing papers authored by Tam Larkin

Since Specialization

Citations

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

Fields of papers citing papers by Tam Larkin

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Tam Larkin. 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 Tam Larkin. The network helps show where Tam Larkin may publish in the future.

Co-authorship network of co-authors of Tam Larkin

This figure shows the co-authorship network connecting the top 25 collaborators of Tam Larkin. A scholar is included among the top collaborators of Tam Larkin 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 Tam Larkin. Tam Larkin 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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