Steven R. Wellborn

22 total papers · 744 total citations
16 papers, 565 citations indexed

About

Steven R. Wellborn is a scholar working on Aerospace Engineering, Computational Mechanics and Mechanical Engineering. According to data from OpenAlex, Steven R. Wellborn has authored 16 papers receiving a total of 565 indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Aerospace Engineering, 9 papers in Computational Mechanics and 7 papers in Mechanical Engineering. Recurrent topics in Steven R. Wellborn's work include Turbomachinery Performance and Optimization (11 papers), Computational Fluid Dynamics and Aerodynamics (7 papers) and Refrigeration and Air Conditioning Technologies (7 papers). Steven R. Wellborn is often cited by papers focused on Turbomachinery Performance and Optimization (11 papers), Computational Fluid Dynamics and Aerodynamics (7 papers) and Refrigeration and Air Conditioning Technologies (7 papers). Steven R. Wellborn collaborates with scholars based in United States and United Kingdom. Steven R. Wellborn's co-authors include T. H. Okiishi, Bruce A. Reichert, G. J. Harloff and R. A. Delaney and has published in prestigious journals such as Journal of Propulsion and Power, Journal of Turbomachinery and Volume 1: Aircraft Engine; Marine; Turbomachinery; Microturbines and Small Turbomachinery.

In The Last Decade

Steven R. Wellborn

16 papers receiving 531 citations

Author Peers

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

Author						Papers	Cites
Steven R. Wellborn	492	407	233	33	28	16	565
L. Reid	491 1.0×	338 0.8×	280 1.2×	16 0.5×	20 0.7×	17	558
Daniel Hyams	423 0.9×	496 1.2×	244 1.0×	45 1.4×	78 2.8×	30	594
Kenneth L. Suder	588 1.2×	410 1.0×	308 1.3×	22 0.7×	12 0.4×	26	658
Ron-Ho Ni	333 0.7×	589 1.4×	94 0.4×	110 3.3×	21 0.8×	20	653
Joan G. Moore	432 0.9×	476 1.2×	305 1.3×	18 0.5×	23 0.8×	42	631
R. H. Ni	343 0.7×	529 1.3×	88 0.4×	82 2.5×	13 0.5×	19	577
Budugur Lakshminarayana	369 0.8×	442 1.1×	247 1.1×	14 0.4×	58 2.1×	18	575
Xinrong Su	471 1.0×	453 1.1×	325 1.4×	8 0.2×	19 0.7×	49	575
K. L. Suder	613 1.2×	460 1.1×	372 1.6×	10 0.3×	8 0.3×	11	657
Douglas Thurman	420 0.9×	381 0.9×	289 1.2×	12 0.4×	13 0.5×	41	523

Countries citing papers authored by Steven R. Wellborn

Since Specialization

Citations

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

Fields of papers citing papers by Steven R. Wellborn

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Steven R. Wellborn. 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 Steven R. Wellborn. The network helps show where Steven R. Wellborn may publish in the future.

Co-authorship network of co-authors of Steven R. Wellborn

This figure shows the co-authorship network connecting the top 25 collaborators of Steven R. Wellborn. A scholar is included among the top collaborators of Steven R. Wellborn 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 Steven R. Wellborn. Steven R. Wellborn 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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