U. K. Vaidya

53 total papers · 477 total citations
32 papers, 376 citations indexed

About

U. K. Vaidya is a scholar working on Mechanics of Materials, Mechanical Engineering and Automotive Engineering. According to data from OpenAlex, U. K. Vaidya has authored 32 papers receiving a total of 376 indexed citations (citations by other indexed papers that have themselves been cited), including 22 papers in Mechanics of Materials, 12 papers in Mechanical Engineering and 9 papers in Automotive Engineering. Recurrent topics in U. K. Vaidya's work include Mechanical Behavior of Composites (15 papers), Additive Manufacturing and 3D Printing Technologies (9 papers) and Composite Material Mechanics (6 papers). U. K. Vaidya is often cited by papers focused on Mechanical Behavior of Composites (15 papers), Additive Manufacturing and 3D Printing Technologies (9 papers) and Composite Material Mechanics (6 papers). U. K. Vaidya collaborates with scholars based in United States, Japan and United Kingdom. U. K. Vaidya's co-authors include Anthony N. Palazotto, Shaik Jeelani, Hassan Mahfuz, P. K. Raju, J. Alexander, Mahesh Hosur, A. Mayer, Ahmed Arabi Hassen, Vincent Paquit and Lonnie Love and has published in prestigious journals such as Carbon, The Journal of the Acoustical Society of America and Composites Part B Engineering.

In The Last Decade

U. K. Vaidya

29 papers receiving 360 citations

Author Peers

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

Author						Papers	Cites
U. K. Vaidya	258	246	126	83	65	32	376
Luke P. Djukic	223 0.9×	249 1.0×	136 1.1×	84 1.0×	57 0.9×	19	435
Yu Gao	188 0.7×	270 1.1×	159 1.3×	107 1.3×	30 0.5×	31	414
Vasavi Boggarapu	203 0.8×	124 0.5×	86 0.7×	81 1.0×	73 1.1×	19	355
Junhui Yin	129 0.5×	256 1.0×	120 1.0×	77 0.9×	97 1.5×	41	356
Patrik Fernberg	194 0.8×	154 0.6×	135 1.1×	59 0.7×	38 0.6×	33	361
Jiapeng Liao	168 0.7×	274 1.1×	90 0.7×	145 1.7×	111 1.7×	20	413
M. A. Portanova	139 0.5×	195 0.8×	78 0.6×	139 1.7×	97 1.5×	18	340
Carlos Vinícios Opelt	219 0.8×	187 0.8×	174 1.4×	108 1.3×	52 0.8×	18	394
Kun Qian	273 1.1×	141 0.6×	120 1.0×	44 0.5×	73 1.1×	16	335
Long Jiang	147 0.6×	293 1.2×	89 0.7×	124 1.5×	34 0.5×	28	446

Countries citing papers authored by U. K. Vaidya

Since Specialization

Citations

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

Fields of papers citing papers by U. K. Vaidya

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by U. K. Vaidya. 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 U. K. Vaidya. The network helps show where U. K. Vaidya may publish in the future.

Co-authorship network of co-authors of U. K. Vaidya

This figure shows the co-authorship network connecting the top 25 collaborators of U. K. Vaidya. A scholar is included among the top collaborators of U. K. Vaidya 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 U. K. Vaidya. U. K. Vaidya 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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