Daniel Wachspress

59 total papers · 423 total citations
50 papers, 356 citations indexed

About

Daniel Wachspress is a scholar working on Aerospace Engineering, Computational Mechanics and Control and Systems Engineering. According to data from OpenAlex, Daniel Wachspress has authored 50 papers receiving a total of 356 indexed citations (citations by other indexed papers that have themselves been cited), including 42 papers in Aerospace Engineering, 33 papers in Computational Mechanics and 11 papers in Control and Systems Engineering. Recurrent topics in Daniel Wachspress's work include Computational Fluid Dynamics and Aerodynamics (25 papers), Aerospace and Aviation Technology (16 papers) and Aeroelasticity and Vibration Control (11 papers). Daniel Wachspress is often cited by papers focused on Computational Fluid Dynamics and Aerodynamics (25 papers), Aerospace and Aviation Technology (16 papers) and Aeroelasticity and Vibration Control (11 papers). Daniel Wachspress collaborates with scholars based in United States. Daniel Wachspress's co-authors include Todd R. Quackenbush, Alexander H. Boschitsch, Donald B. Bliss, Harold W. Thistle, Milton E. Teske, Joseph F. Horn, D. O. Bridges, Sarma L. Rani, Kenneth S. Brentner and Marilyn Smith and has published in prestigious journals such as Journal of Aircraft, Transactions of the ASABE and Journal of the American Helicopter Society.

In The Last Decade

Daniel Wachspress

43 papers receiving 232 citations

Author Peers

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

Author						Papers	Cites
Daniel Wachspress	235	231	45	42	34	50	356
Peter Render	124 0.5×	275 1.2×	48 1.1×	8 0.2×	35 1.0×	43	353
Robert-Zoltán Szász	282 1.2×	136 0.6×	47 1.0×	22 0.5×	16 0.5×	52	359
Jesper Madsen	230 1.0×	285 1.2×	134 3.0×	20 0.5×	7 0.2×	27	365
B. Zinn	278 1.2×	150 0.6×	27 0.6×	6 0.1×	14 0.4×	42	345
Gaofeng Wang	261 1.1×	108 0.5×	36 0.8×	10 0.2×	8 0.2×	51	393
Lars Neuhaus	206 0.9×	283 1.2×	80 1.8×	5 0.1×	44 1.3×	39	341
Pierre Gajan	273 1.2×	113 0.5×	26 0.6×	35 0.8×	7 0.2×	34	396
Emre Alpman	114 0.5×	166 0.7×	38 0.8×	7 0.2×	21 0.6×	34	351
Jiahao Chen	166 0.7×	177 0.8×	28 0.6×	18 0.4×	80 2.4×	43	401
Jacek Rokicki	275 1.2×	115 0.5×	41 0.9×	5 0.1×	8 0.2×	28	352

Countries citing papers authored by Daniel Wachspress

Since Specialization

Citations

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

Fields of papers citing papers by Daniel Wachspress

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Daniel Wachspress

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