J. A. Garba

73 total papers · 615 total citations
34 papers, 444 citations indexed

About

J. A. Garba is a scholar working on Civil and Structural Engineering, Aerospace Engineering and Control and Systems Engineering. According to data from OpenAlex, J. A. Garba has authored 34 papers receiving a total of 444 indexed citations (citations by other indexed papers that have themselves been cited), including 19 papers in Civil and Structural Engineering, 15 papers in Aerospace Engineering and 9 papers in Control and Systems Engineering. Recurrent topics in J. A. Garba's work include Spacecraft Design and Technology (10 papers), Structural Health Monitoring Techniques (9 papers) and Structural Analysis and Optimization (9 papers). J. A. Garba is often cited by papers focused on Spacecraft Design and Technology (10 papers), Structural Health Monitoring Techniques (9 papers) and Structural Analysis and Optimization (9 papers). J. A. Garba collaborates with scholars based in United States and Nigeria. J. A. Garba's co-authors include Jay-Chung Chen, B. K. Wada, James L. Fanson, Senol Utku, Leonard S. Haynes, Choon-Foo Shih, A. V. Ramesh, Firdaus E. Udwadia and Luca Peretti and has published in prestigious journals such as AIAA Journal, SAE technical papers on CD-ROM/SAE technical paper series and Journal of Engineering Mechanics.

In The Last Decade

J. A. Garba

29 papers receiving 386 citations

Author Peers

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

Author						Papers	Cites
J. A. Garba	371	122	104	90	85	34	444
Tae W. Lim	322 0.9×	171 1.4×	77 0.7×	58 0.6×	66 0.8×	28	459
Martin Dalgaard Ulriksen	333 0.9×	121 1.0×	65 0.6×	87 1.0×	97 1.1×	45	428
Alvar M. Kabe	313 0.8×	92 0.8×	133 1.3×	41 0.5×	71 0.8×	24	392
A. Calvi	348 0.9×	207 1.7×	237 2.3×	68 0.8×	84 1.0×	23	491
Peter Berring	240 0.6×	247 2.0×	37 0.4×	62 0.7×	122 1.4×	40	418
Fu-Shang Wei	287 0.8×	34 0.3×	124 1.2×	115 1.3×	81 1.0×	54	450
Alexandros Iliopoulos	361 1.0×	114 0.9×	73 0.7×	114 1.3×	145 1.7×	19	428
Liangxian Gu	108 0.3×	112 0.9×	127 1.2×	54 0.6×	96 1.1×	51	460
Konstantinos Tatsis	291 0.8×	91 0.7×	71 0.7×	87 1.0×	90 1.1×	36	408
Øyvind Wiig Petersen	289 0.8×	55 0.5×	62 0.6×	71 0.8×	76 0.9×	28	394

Countries citing papers authored by J. A. Garba

Since Specialization

Citations

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

Fields of papers citing papers by J. A. Garba

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of J. A. Garba

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