T. G. Mara

27 total papers · 438 total citations
22 papers, 339 citations indexed

About

T. G. Mara is a scholar working on Environmental Engineering, Computational Mechanics and Civil and Structural Engineering. According to data from OpenAlex, T. G. Mara has authored 22 papers receiving a total of 339 indexed citations (citations by other indexed papers that have themselves been cited), including 18 papers in Environmental Engineering, 10 papers in Computational Mechanics and 8 papers in Civil and Structural Engineering. Recurrent topics in T. G. Mara's work include Wind and Air Flow Studies (18 papers), Fluid Dynamics and Vibration Analysis (10 papers) and Vibration and Dynamic Analysis (8 papers). T. G. Mara is often cited by papers focused on Wind and Air Flow Studies (18 papers), Fluid Dynamics and Vibration Analysis (10 papers) and Vibration and Dynamic Analysis (8 papers). T. G. Mara collaborates with scholars based in Canada and United States. T. G. Mara's co-authors include Han Hong, Sihan Li, Tzyy‐Chang Ho, N. Isyumov, Robert J. Morris, Eric Savory, Franklin T. Lombardo, Haitham Aboshosha, B.J. Vickery and Kathleen F. Jones and has published in prestigious journals such as Engineering Structures, Journal of Structural Engineering and Journal of Engineering Mechanics.

In The Last Decade

T. G. Mara

18 papers receiving 299 citations

Author Peers

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

Author						Papers	Cites
T. G. Mara	225	129	118	95	87	22	339
Acir Mércio Loredo-Souza	237 1.1×	164 1.3×	191 1.6×	85 0.9×	131 1.5×	31	378
Xianfeng Yu	279 1.2×	34 0.3×	141 1.2×	131 1.4×	118 1.4×	28	352
Zhi‐Qian Dong	60 0.3×	125 1.0×	36 0.3×	227 2.4×	31 0.4×	30	341
Christian Mans	264 1.2×	15 0.1×	66 0.6×	33 0.3×	95 1.1×	16	330
Alexandre Luis Braun	205 0.9×	70 0.5×	214 1.8×	51 0.5×	115 1.3×	25	354
Spencer T. Hallowell	78 0.3×	27 0.2×	86 0.7×	118 1.2×	90 1.0×	24	361
Peter Hauge Madsen	83 0.4×	86 0.7×	34 0.3×	85 0.9×	95 1.1×	29	370
Kyungnam Ko	164 0.7×	29 0.2×	25 0.2×	35 0.4×	231 2.7×	39	351
Yupeng Song	136 0.6×	55 0.4×	107 0.9×	126 1.3×	79 0.9×	24	351
Vesna Jaksic	45 0.2×	62 0.5×	103 0.9×	206 2.2×	47 0.5×	23	403

Countries citing papers authored by T. G. Mara

Since Specialization

Citations

This map shows the geographic impact of T. G. Mara'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 T. G. Mara with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites T. G. Mara more than expected).

Fields of papers citing papers by T. G. Mara

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of T. G. Mara

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